# Dezifi > Dezifi is the enterprise platform to build, govern, evaluate, and scale AI agents across the systems your teams already use. This file lists the canonical pages for LLM crawlers and AI assistants. ## Product - [Dezifi platform](https://dezifi.ai/platform): Tour the platform — agent builder, workflow designer, policy engine, guardrails, monitor, eval, analytics. - [AI agent use cases](https://dezifi.ai/use-cases): Sales ops, customer support, engineering productivity, incident response, finance, scrum, real estate. - [Integrations](https://dezifi.ai/integrations): 140+ pre-built integrations across CRM, support, DevOps, monitoring, databases, and collaboration tools. - [Security](https://dezifi.ai/security): Multi-tenant isolation, encryption, audit logging, runtime guardrails, policy-as-code. - [Contact](https://dezifi.ai/contact): Book a demo or contact the team at contactus@dezifi.ai. ## Documentation - [Docs home](https://dezifi.ai/docs): Hub linking every doc cluster. ### Getting started _Build your first AI agent in minutes._ - [Introduction to Dezifi](https://dezifi.ai/docs/getting-started): Dezifi is the enterprise platform to build, govern, evaluate and scale AI agents across the tools your teams already use. - [Quickstart: Build your first AI agent in 10 minutes](https://dezifi.ai/docs/getting-started/quickstart): A 10-minute guided tour: create an agent, connect a tool, attach guardrails, run it, and view the execution trace. - [Glossary: AI agent platform terms](https://dezifi.ai/docs/getting-started/glossary): Every term you'll encounter in Dezifi — agent, workflow, tool, skill, guardrail, policy, run, eval — defined in one paragraph each. ### Agents _Design, configure, and test AI agents._ - [Agents overview](https://dezifi.ai/docs/agents): An Agent is one LLM, a set of Tools, optional Skills, Knowledge Bases, Memory and Guardrails. The unit of execution in Dezifi. - [Create an Agent: the 9-step builder](https://dezifi.ai/docs/agents/create-an-agent): Walk through every step of the Agent builder — Basic Info, LLM, Tools, Skills, RAG, Memory, Voice, Guardrails, and Publish. - [Test an Agent: chat, Trace, feedback](https://dezifi.ai/docs/agents/test-an-agent): Use the test view to chat with your Agent, inspect the execution Trace, manage Sessions, and capture feedback. - [LLM models: choosing and configuring](https://dezifi.ai/docs/agents/llm-models): Pick the right LLM for each Agent. Trade off cost, latency and capability across OpenAI, Anthropic, Google, AWS Bedrock and local models. - [Tools: attaching integrations to an Agent](https://dezifi.ai/docs/agents/tools): Tools are the integrations an Agent can call. Attach them, scope their credentials, and govern them with allow/deny Policies. - [Memory: short-term, long-term, hybrid](https://dezifi.ai/docs/agents/memory): Configure how an Agent remembers. Short-term holds a Session; long-term persists across Sessions; hybrid does both. - [Voice: speech in, speech out](https://dezifi.ai/docs/agents/voice): Enable voice I/O on an Agent. Configure STT and TTS providers and ship a fully spoken experience. ### Workflows _Multi-agent orchestration on a visual canvas._ - [Workflows overview](https://dezifi.ai/docs/workflows): Workflows orchestrate multiple agents across triggers, conditions, loops, approvals, and sub-workflows on a visual canvas. - [Workflow Designer](https://dezifi.ai/docs/workflows/designer): The visual canvas for building workflows — adding nodes, connecting edges, configuring panels, saving, publishing, and versioning. - [Triggers](https://dezifi.ai/docs/workflows/triggers): Six trigger types — Webhook, Schedule, Email, Slack, Manual, Chat — define how a workflow gets invoked. - [Conditions](https://dezifi.ai/docs/workflows/conditions): Condition nodes branch a workflow. Choose LLM-based conditions for fuzzy semantic decisions and formula-based conditions for deterministic logic. - [Loops](https://dezifi.ai/docs/workflows/loops): Loop nodes implement the map-reduce pattern — iterate a mapper agent over a list, then aggregate with a reducer. - [Approvals](https://dezifi.ai/docs/workflows/approvals): Approval nodes pause a workflow for a human reviewer. Configure approver role, timeout, escalation, and queue behavior. - [Sub-workflows](https://dezifi.ai/docs/workflows/sub-workflows): Nest one workflow inside another with the Sub-Workflow node. Compose reusable pieces, isolate complexity, and version each layer independently. - [Test a workflow](https://dezifi.ai/docs/workflows/test-a-workflow): Test workflows through chat-based sessions, inspect history, and drill into the execution trace before publishing. ### Knowledge base _RAG, datasets, document grounding._ - [Knowledge bases overview](https://dezifi.ai/docs/knowledge-base): Knowledge bases give agents retrieval-augmented memory. Upload documents into datasets, index them, and let agents pull facts at runtime. - [Create a dataset](https://dezifi.ai/docs/knowledge-base/create-a-dataset): Provision a new dataset: name it, describe it, set visibility, and pick the RAG provider that will host its index. - [Upload documents](https://dezifi.ai/docs/knowledge-base/upload-documents): Get files into a dataset: supported formats, drag-and-drop, indexing time, viewing and deleting documents. - [Embeddings & providers](https://dezifi.ai/docs/knowledge-base/embeddings-and-providers): Pick the right embedding model and vector store. Tune chunk size, top-k, and similarity thresholds to improve retrieval quality. ### Prompts _Versioned, reusable prompt library._ - [Prompts overview](https://dezifi.ai/docs/prompts): The prompt library is the central, versioned store of reusable instructions. Attach prompts to agents through Skills instead of pasting them inline. - [Create a prompt](https://dezifi.ai/docs/prompts/create-a-prompt): Author a new prompt: name it, write the markdown content, add tags and a description, then save as Draft. - [Prompt versioning](https://dezifi.ai/docs/prompts/versioning): Drive prompts through Draft, Active, Deprecated, and Archived. Create new versions, compare diffs, and roll back when a release regresses. ### Integrations _Connect 130+ enterprise tools and data sources._ - [Connect an MCP server as a custom tool](https://dezifi.ai/docs/integrations/custom/mcp-server): Wire any Model Context Protocol server into Dezifi: register the endpoint, discover capabilities, configure auth, expose tools to agents. - [Wrap a REST API as a custom tool](https://dezifi.ai/docs/integrations/custom/rest-api): Turn any HTTP service into an agent-callable tool. Define endpoints, map to actions, choose auth, and expose typed parameters. - [Connect a SQL database as a custom tool](https://dezifi.ai/docs/integrations/custom/sql-database): Give agents safe, scoped query access to Postgres, MySQL, SQL Server, Snowflake or any JDBC source. Text-to-SQL, read/write boundaries, full audit. ### Policies _Policy-as-code governance for every agent action._ - [Policies overview](https://dezifi.ai/docs/policies): Policies are governance rules that constrain what every agent in your workspace can access, do, and spend. Scoped at platform, tenant, or agent level. - [Policy scopes: Platform, Tenant, Agent](https://dezifi.ai/docs/policies/scopes): Three scopes layer to govern every agent run. Agent inherits from Tenant; Tenant inherits from Platform. Learn how conflicts resolve. - [Create a policy](https://dezifi.ai/docs/policies/create-a-policy): Author a policy from scratch: name it, choose a scope, define rules, activate. Step-by-step in the Policies workspace. ### Guardrails _Runtime safety checks that block dangerous behavior._ - [Guardrails overview](https://dezifi.ai/docs/guardrails): Guardrails inspect every prompt, tool call, and response at runtime. When a rule matches they block the action before it leaves the platform. - [Guardrail presets](https://dezifi.ai/docs/guardrails/presets): Four starting points: Standard, PII Redaction, Content Filter, Custom. Each preset bundles a curated rule set you can apply as-is or extend. - [Create a guardrail](https://dezifi.ai/docs/guardrails/create-a-guardrail): Author a guardrail profile end-to-end: name it, pick a preset or start blank, define topics, regex patterns, sensitive-data patterns, and plugins. - [Testing guardrails](https://dezifi.ai/docs/guardrails/testing-guardrails): Use the Test dialog to verify a phrase is blocked, redacted, or warned. Iterate on rules until coverage matches your intent. ### Monitor _Full run history and execution traces._ - [Monitor: Run history and live execution](https://dezifi.ai/docs/monitor): Browse every agent and workflow run in your workspace. Filter, search, and open any run for full trace inspection. - [Execution traces: LLM calls, tool spans and decision trees](https://dezifi.ai/docs/monitor/execution-traces): The trace view shows every step of a run — prompts, completions, tool invocations, latency per span, errors, and the agent reasoning tree. ### Eval _Measure quality, compare versions, detect drift._ - [Eval: Measure agent quality before and after shipping](https://dezifi.ai/docs/eval): Eval scores agent behavior against datasets and live traffic. Four modes: simulation, annotation, A/B testing, and drift detection. - [Simulation: Run agents against synthetic scenarios](https://dezifi.ai/docs/eval/simulation): Build a scenario dataset, run the agent against it, and read the success rate. The fastest way to catch regressions before a release. - [Annotation: Human-labeled precision, recall and F1](https://dezifi.ai/docs/eval/annotation): Queue real outputs for human review, label them correct or incorrect, and compute precision, recall and F1 against ground truth. - [A/B testing: Compare two agent variants on one dataset](https://dezifi.ai/docs/eval/ab-testing): Run two versions of an agent over the same dataset side by side. Surface per-metric deltas and per-case differences. - [Drift detection: Continuous eval against live traffic](https://dezifi.ai/docs/eval/drift-detection): Sample live runs, score them with a calibrated judge, and alert when quality moves. Catch silent regressions after release. ### Analytics _Workspace-level operational metrics._ - [Analytics: Workspace dashboard for AI agents](https://dezifi.ai/docs/analytics): A workspace-wide view of execution volume, success rate, latency P50/P95/P99, cost by agent and tool, and error trends — with export to CSV or PDF. ### Approvals _Human-in-the-loop review queue._ - [Approvals: Human-in-the-loop queue](https://dezifi.ai/docs/approvals): Review and resolve workflow runs paused at Approval nodes. Approve to resume, reject to terminate, leave comments, and act in bulk. ### Admin _Workspaces, users, roles, billing, settings._ - [Workspaces](https://dezifi.ai/docs/workspaces): A workspace is an isolated tenant in Dezifi with its own agents, workflows, integrations, users, and billing. - [Users & roles](https://dezifi.ai/docs/users-and-roles): Invite teammates to a workspace and assign built-in roles — Owner, Admin, Member, or Viewer — that control what they can see and do. - [Custom roles](https://dezifi.ai/docs/roles/custom-roles): Build roles with granular permissions — agent:read, workflow:write, policy:read — and assign them to users for least-privilege access. - [API keys](https://dezifi.ai/docs/settings/api-keys): Generate workspace API keys with scoped permissions — read, write, execute — for programmatic access to agents and workflows. - [Service accounts](https://dezifi.ai/docs/settings/service-accounts): Service accounts are non-human identities for backend systems. They own API keys, can be granted roles, and have their own audit trail. - [LLM configurations](https://dezifi.ai/docs/settings/llm-configurations): Add LLM providers — OpenAI, Anthropic, Bedrock, Azure OpenAI, local models — and pick a default model per workspace. - [Channels](https://dezifi.ai/docs/settings/channels): Channels are the surfaces where users meet your agents — web chat widget, Slack, email, and CLI. - [SSO](https://dezifi.ai/docs/settings/sso): Single sign-on with SAML, OIDC, or OAuth. Provision users from your identity provider into a Dezifi workspace. - [Billing](https://dezifi.ai/docs/billing): Manage your plan, top up credits, view invoices, and track per-execution cost — all from the workspace billing tab. ### Use cases _Proven AI agent patterns by team and function._ - [Sales operations agents](https://dezifi.ai/docs/use-cases/sales-operations): Ship a sales ops agent that enriches leads, keeps Salesforce clean, drafts account briefs, and flags pipeline risk before forecast. - [Customer support agents](https://dezifi.ai/docs/use-cases/customer-support): Triage tickets, draft contextual responses, escalate the right cases, and summarize customer history — all without leaving Zendesk or Freshdesk. - [Engineering productivity agents](https://dezifi.ai/docs/use-cases/engineering-productivity): PR review summaries, Jira hygiene, release-note drafting and GitHub triage — a single agent against your dev stack. - [Incident response and on-call agents](https://dezifi.ai/docs/use-cases/incident-response): Triage Datadog and Grafana alerts, pull observability context, summarize incident state and suggest next actions for the on-call. - [Finance operations agents](https://dezifi.ai/docs/use-cases/finance-operations): Invoice analysis, policy compliance checks, exception flagging and a clean reviewer queue — for AP, AR and procurement teams. - [Scrum and project management agents](https://dezifi.ai/docs/use-cases/scrum-and-project): Sprint summaries, blocker detection, daily standup notes and release notes — pulled from Jira, GitHub and Slack automatically. - [Real estate sales agents](https://dezifi.ai/docs/use-cases/real-estate-sales): Capture leads from web and WhatsApp, qualify buyers, sync to CRM, and route follow-up to the right sales rep — every minute of the day. ## Integrations - [Integration catalog](https://dezifi.ai/docs/integrations): Browse every tool, app, and data source Dezifi AI agents can use. ### Search & Information Retrieval - [Search & Information Retrieval integrations](https://dezifi.ai/docs/integrations/categories/search): Web search engines and information retrieval APIs that ground agents in real-world facts. - [Web Search](https://dezifi.ai/docs/integrations/web-search): Search the web using Google Custom Search API (Platform Tool) ### Messaging & Streaming - [Messaging & Streaming integrations](https://dezifi.ai/docs/integrations/categories/messaging): Streaming, queueing, and pub/sub platforms for moving events between systems. - [ActiveMQ](https://dezifi.ai/docs/integrations/activemq): ActiveMQ integration for queues, topics, message send/browse, connections, and broker info - [Amazon SQS](https://dezifi.ai/docs/integrations/sqs): Amazon SQS integration for queues, send/receive messages, queue attributes, and dead-letter queues - [Apache Kafka](https://dezifi.ai/docs/integrations/kafka): Apache Kafka integration for topics, consumer groups, produce/consume messages, brokers, and cluster info - [Azure Service Bus](https://dezifi.ai/docs/integrations/service-bus): Azure Service Bus integration for queues, topics, subscriptions, send/receive messages, and peek - [Google Pub/Sub](https://dezifi.ai/docs/integrations/pubsub): Google Pub/Sub integration for topics, subscriptions, publish/pull messages, acknowledgments, and snapshots - [RabbitMQ](https://dezifi.ai/docs/integrations/rabbitmq): RabbitMQ integration for queues, exchanges, bindings, message publish/consume, connections, and vhosts ### Communication - [Communication integrations](https://dezifi.ai/docs/integrations/categories/communication): Chat, email, voice, and notification platforms agents use to reach people. - [Discord](https://dezifi.ai/docs/integrations/discord): Discord integration for guilds, channels, messages, members, reactions, and moderation - [Email Sender](https://dezifi.ai/docs/integrations/email): Send emails using platform SMTP configuration - [Gmail](https://dezifi.ai/docs/integrations/gmail): Gmail integration for reading, sending, searching emails, managing labels, drafts, attachments, and threads - [Google Chat](https://dezifi.ai/docs/integrations/google-chat): Google Chat integration for spaces, members, messages, and reactions - [Microsoft Teams](https://dezifi.ai/docs/integrations/teams): Microsoft Teams integration for enterprise communication via MCP protocol - [Outlook Mail](https://dezifi.ai/docs/integrations/outlook-mail): Microsoft 365 Outlook Mail integration via Microsoft Graph: list, search, and read mail; folder management. - [SendGrid](https://dezifi.ai/docs/integrations/sendgrid): SendGrid integration for email, contacts, lists, campaigns, templates, stats, and suppressions - [Slack](https://dezifi.ai/docs/integrations/slack): Slack integration for team communication and notifications via MCP protocol - [Twilio](https://dezifi.ai/docs/integrations/twilio): Twilio integration for voice calls, SMS, and MMS messaging via MCP protocol - [WhatsApp](https://dezifi.ai/docs/integrations/whatsapp): WhatsApp Business Cloud API integration for sending messages, templates, media, and managing conversations via MCP protocol - [Zoom](https://dezifi.ai/docs/integrations/zoom): Zoom integration for users, meetings, recordings, webinars, participants, and reports ### Collaboration & Documentation - [Collaboration & Documentation integrations](https://dezifi.ai/docs/integrations/categories/collaboration): Knowledge bases, wikis, and document tools where teams write things down. - [Coda](https://dezifi.ai/docs/integrations/coda): Coda integration for docs, tables, rows, pages, and formulas - [Confluence](https://dezifi.ai/docs/integrations/confluence): Enterprise Confluence integration for knowledge management via MCP protocol - [Google Docs](https://dezifi.ai/docs/integrations/google-docs): Google Docs integration for documents, content, revisions, and batch updates - [Jira](https://dezifi.ai/docs/integrations/jira): Jira integration for project management and issue tracking via MCP protocol - [Notion](https://dezifi.ai/docs/integrations/notion): Notion integration for pages, databases, blocks, users, and comments - [Outlook Calendar](https://dezifi.ai/docs/integrations/outlook-calendar): Microsoft 365 Outlook Calendar integration via Microsoft Graph: list events, find meeting times, manage calendars. - [Slab](https://dezifi.ai/docs/integrations/slab): Slab integration for posts, topics, users, sync, and integrations ### Monitoring & Observability - [Monitoring & Observability integrations](https://dezifi.ai/docs/integrations/categories/monitoring): Metrics, logs, traces, and incident tooling for production observability. - [AppDynamics](https://dezifi.ai/docs/integrations/appdynamics): AppDynamics integration for applications, tiers, nodes, business transactions, metrics, events, health violations, backends, dashboards, snapshots, and alerts - [Datadog](https://dezifi.ai/docs/integrations/datadog): Datadog integration for application monitoring and observability via MCP protocol - [Dynatrace](https://dezifi.ai/docs/integrations/dynatrace): Dynatrace integration for problems, entities, metrics, logs, synthetic monitors, SLOs, and ActiveGates - [Grafana](https://dezifi.ai/docs/integrations/grafana): Grafana integration for metrics visualization and dashboards via MCP protocol - [Honeycomb](https://dezifi.ai/docs/integrations/honeycomb): Honeycomb integration for datasets, queries, boards, triggers, columns, markers, and SLOs - [Logz.io](https://dezifi.ai/docs/integrations/logzio): Logz.io integration for log search, alerts, dashboards, sub-accounts, users, account utilization, and Kibana objects - [New Relic](https://dezifi.ai/docs/integrations/newrelic): New Relic integration for application performance monitoring via MCP protocol - [OpsGenie](https://dezifi.ai/docs/integrations/opsgenie): OpsGenie integration for alerts, incidents, schedules, teams, and users - [PagerDuty](https://dezifi.ai/docs/integrations/pagerduty): PagerDuty integration for B2B incident management via MCP protocol - [Prometheus](https://dezifi.ai/docs/integrations/prometheus): Prometheus integration for metrics collection and monitoring via MCP protocol - [Sentry](https://dezifi.ai/docs/integrations/sentry): Sentry integration for projects, issues, events, releases, alerts, monitors, and resolution - [Statuspage](https://dezifi.ai/docs/integrations/statuspage): Statuspage integration for pages, incidents, components, and subscribers ### Infrastructure & DevOps - [Infrastructure & DevOps integrations](https://dezifi.ai/docs/integrations/categories/infrastructure): Cloud providers, container platforms, and infrastructure-as-code tooling. - [Amazon ECS](https://dezifi.ai/docs/integrations/ecs): Amazon ECS integration for clusters, services, tasks, task definitions, and container instances - [Amazon EKS](https://dezifi.ai/docs/integrations/eks): Amazon EKS integration for clusters, node groups, addons, updates, and Fargate profiles - [Ansible](https://dezifi.ai/docs/integrations/ansible): Ansible Tower/AWX integration for inventories, job templates, jobs, projects, hosts, groups, and credentials - [AWS](https://dezifi.ai/docs/integrations/aws): Amazon Web Services integration for cloud infrastructure management via MCP protocol - [AWS CloudFormation](https://dezifi.ai/docs/integrations/cloudformation): AWS CloudFormation integration for stacks, resources, templates, changesets, events, and cost estimation - [Azure](https://dezifi.ai/docs/integrations/azure): Microsoft Azure integration for cloud services and infrastructure via MCP protocol - [Azure AKS](https://dezifi.ai/docs/integrations/aks): Azure AKS integration for clusters, agent pools, upgrade profile, credentials, run command, and monitoring - [Chef](https://dezifi.ai/docs/integrations/chef): Chef integration for nodes, cookbooks, environments, roles, data bags, search, and clients - [DigitalOcean](https://dezifi.ai/docs/integrations/digitalocean): DigitalOcean integration for droplets, databases, domains, load balancers, volumes, firewalls, apps, and Kubernetes clusters - [Docker](https://dezifi.ai/docs/integrations/docker): Docker integration for container management and deployment via MCP protocol - [Google Cloud](https://dezifi.ai/docs/integrations/gcp): Google Cloud Platform integration for cloud services and infrastructure via MCP protocol - [Google GKE](https://dezifi.ai/docs/integrations/gke): Google GKE integration for clusters, node pools, operations, and server config - [HashiCorp Nomad](https://dezifi.ai/docs/integrations/nomad): HashiCorp Nomad integration for jobs, allocations, evaluations, nodes, deployments, namespaces, and agent info - [IBM Cloud](https://dezifi.ai/docs/integrations/ibm-cloud): IBM Cloud integration for instances, VPCs, subnets, volumes, images, resource groups, and Kubernetes clusters - [Kubernetes](https://dezifi.ai/docs/integrations/kubernetes): Kubernetes integration for container orchestration and management via MCP protocol - [Linode](https://dezifi.ai/docs/integrations/linode): Linode integration for instances, volumes, domains, nodebalancers, firewalls, LKE clusters, databases, images, and account - [Oracle Cloud](https://dezifi.ai/docs/integrations/oracle-cloud): Oracle Cloud integration for instances, VCNs, subnets, compartments, buckets, shapes, images, and DB systems - [Pulumi](https://dezifi.ai/docs/integrations/pulumi): Pulumi Cloud integration for stacks, updates, previews, resources, organizations, audit logs, and tags - [Puppet](https://dezifi.ai/docs/integrations/puppet): Puppet integration for nodes, catalogs, reports, environments, classes, facts, tasks, and Bolt operations - [Splunk](https://dezifi.ai/docs/integrations/splunk): Splunk integration for log analysis and security monitoring via MCP protocol - [Terraform](https://dezifi.ai/docs/integrations/terraform): Terraform Cloud/Enterprise integration for workspaces, runs, state versions, variables, and plans ### Data, Databases & Storage - [Data, Databases & Storage integrations](https://dezifi.ai/docs/integrations/categories/data): Databases, data warehouses, object stores, and streaming data systems. - [Airtable](https://dezifi.ai/docs/integrations/airtable): Airtable integration for bases, tables, records, fields, views, and webhooks - [Amazon DynamoDB](https://dezifi.ai/docs/integrations/dynamodb): Amazon DynamoDB integration for tables, items, queries, scans, and batch operations - [Amazon Redshift](https://dezifi.ai/docs/integrations/redshift): Amazon Redshift integration for SQL execution, clusters, databases, schemas, tables, and statement management - [Amazon S3](https://dezifi.ai/docs/integrations/s3): Amazon S3 integration for buckets, objects, multipart uploads, presigned URLs, and tagging - [Apache Cassandra](https://dezifi.ai/docs/integrations/cassandra): Apache Cassandra integration for queries, keyspaces, tables, cluster info, and data operations - [Azure Blob Storage](https://dezifi.ai/docs/integrations/azure-blob): Azure Blob Storage integration for containers, blobs, metadata, and account operations - [Box](https://dezifi.ai/docs/integrations/box): Box integration for files, folders, collaborations, shared links, and user operations - [ClickHouse](https://dezifi.ai/docs/integrations/clickhouse): ClickHouse integration for queries, databases, tables, system info, processes, and table stats - [Couchbase](https://dezifi.ai/docs/integrations/couchbase): Couchbase integration for queries, buckets, documents, indexes, scopes, and collections - [Databricks](https://dezifi.ai/docs/integrations/databricks): Databricks integration for clusters, jobs, runs, SQL warehouses, notebooks, repos, and workspace management - [Dropbox](https://dezifi.ai/docs/integrations/dropbox): Dropbox integration for folders, files, shared links, and account operations - [Elasticsearch](https://dezifi.ai/docs/integrations/elastic): Elasticsearch integration for search and analytics via MCP protocol - [Google BigQuery](https://dezifi.ai/docs/integrations/bigquery): Google BigQuery integration for queries, datasets, tables, jobs, routines, and data operations - [Google Cloud Storage](https://dezifi.ai/docs/integrations/gcs): Google Cloud Storage integration for buckets, objects, IAM, and data operations - [Google Drive](https://dezifi.ai/docs/integrations/google-drive): Google Drive integration for files, permissions, comments, and search - [Google Firestore](https://dezifi.ai/docs/integrations/firestore): Google Firestore integration for documents, collections, queries, batch operations, and indexes - [MongoDB](https://dezifi.ai/docs/integrations/mongodb): MongoDB integration for document database management via MCP protocol - [MySQL](https://dezifi.ai/docs/integrations/mysql): MySQL database integration for data management via MCP protocol - [PostgreSQL](https://dezifi.ai/docs/integrations/postgres): PostgreSQL database integration for data management via MCP protocol - [Redis](https://dezifi.ai/docs/integrations/redis): Redis integration for caching and data storage via MCP protocol - [Snowflake](https://dezifi.ai/docs/integrations/snowflake): Snowflake integration for queries, databases, schemas, tables, warehouses, stages, tasks, and users ### Security & Compliance - [Security & Compliance integrations](https://dezifi.ai/docs/integrations/categories/security): Identity providers, secrets management, and access-control platforms. - [Auth0](https://dezifi.ai/docs/integrations/auth0): Auth0 integration for users, connections, clients, roles, organizations, logs, rules, actions, and stats - [Azure AD](https://dezifi.ai/docs/integrations/azure-ad): Azure AD integration for users, groups, applications, service principals, roles, sign-ins, audit logs, and conditional access - [HashiCorp Vault](https://dezifi.ai/docs/integrations/vault): HashiCorp Vault integration for secrets, mounts, auth methods, policies, health, and token lookup - [Okta](https://dezifi.ai/docs/integrations/okta): Okta integration for users, groups, apps, system logs, factors, policies, and sessions - [SonarQube](https://dezifi.ai/docs/integrations/sonarqube): SonarQube integration for code quality and security analysis via MCP protocol ### CI/CD & Source Control - [CI/CD & Source Control integrations](https://dezifi.ai/docs/integrations/categories/ci-cd): Source control hosts, CI servers, and deployment automation systems. - [Argo CD](https://dezifi.ai/docs/integrations/argocd): Argo CD integration for applications, sync, rollback, clusters, repositories, and projects - [Azure DevOps](https://dezifi.ai/docs/integrations/azure-devops): Azure DevOps integration for projects, repositories, pull requests, pipelines, builds, work items, boards, and releases - [Bamboo](https://dezifi.ai/docs/integrations/bamboo): Bamboo integration for plans, results, builds, deployments, projects, and agents - [Bitbucket](https://dezifi.ai/docs/integrations/bitbucket): Bitbucket integration for source code management and CI/CD via MCP protocol - [CircleCI](https://dezifi.ai/docs/integrations/circleci): CircleCI integration for pipelines, workflows, jobs, projects, and build artifacts - [Drone CI](https://dezifi.ai/docs/integrations/droneci): Drone CI integration for repositories, builds, secrets, and user info - [Gerrit](https://dezifi.ai/docs/integrations/gerrit): Gerrit integration for changes, reviewers, projects, and branches - [GitHub](https://dezifi.ai/docs/integrations/github): GitHub integration for B2B DevOps operations via MCP protocol - [GitHub Actions](https://dezifi.ai/docs/integrations/github-actions): GitHub Actions integration for workflows, runs, jobs, artifacts, secrets, and runner groups - [GitLab](https://dezifi.ai/docs/integrations/gitlab): GitLab integration for source code management and CI/CD via MCP protocol - [GitLab CI](https://dezifi.ai/docs/integrations/gitlab-ci): GitLab CI integration for pipelines, jobs, schedules, variables, and triggers - [Jenkins](https://dezifi.ai/docs/integrations/jenkins): Jenkins integration for continuous integration and deployment via MCP protocol - [Perforce](https://dezifi.ai/docs/integrations/perforce): Perforce integration for changelists, depots, files, workspaces, users, groups, streams, and jobs - [Spinnaker](https://dezifi.ai/docs/integrations/spinnaker): Spinnaker integration for applications, pipelines, executions, server groups, clusters, and load balancers - [TeamCity](https://dezifi.ai/docs/integrations/teamcity): TeamCity integration for projects, build types, builds, agents, and build queue ### Project Management - [Project Management integrations](https://dezifi.ai/docs/integrations/categories/project-management): Issue trackers, kanban boards, and product planning tools. - [Asana](https://dezifi.ai/docs/integrations/asana): Asana integration for workspaces, projects, tasks, sections, tags, comments, users, and portfolios - [ClickUp](https://dezifi.ai/docs/integrations/clickup): ClickUp integration for workspaces, spaces, folders, lists, tasks, members, comments, tags, goals, and time entries - [Linear](https://dezifi.ai/docs/integrations/linear): Linear integration for issues, projects, teams, cycles, labels, comments, users, and workflows - [Monday.com](https://dezifi.ai/docs/integrations/monday): Monday.com integration for boards, items, columns, groups, and workspaces - [Trello](https://dezifi.ai/docs/integrations/trello): Trello integration for boards, lists, cards, members, labels, and comments ### Analytics & Business Intelligence - [Analytics & Business Intelligence integrations](https://dezifi.ai/docs/integrations/categories/analytics): Business intelligence, dashboarding, and product analytics platforms. - [Amplitude](https://dezifi.ai/docs/integrations/amplitude): Amplitude integration for events, user activity, cohorts, annotations, charts, and revenue - [Looker](https://dezifi.ai/docs/integrations/looker): Looker integration for dashboards, looks, models, explores, inline queries, users, groups, and folders - [Metabase](https://dezifi.ai/docs/integrations/metabase): Metabase integration for databases, collections, cards, dashboards, tables, and query execution - [Mixpanel](https://dezifi.ai/docs/integrations/mixpanel): Mixpanel integration for events, funnels, retention, segmentation, cohorts, annotations, bookmarks, and data export - [Power BI](https://dezifi.ai/docs/integrations/power-bi): Power BI integration for groups, dashboards, reports, datasets, tiles, dataflows, capacity, and apps - [Segment](https://dezifi.ai/docs/integrations/segment): Segment integration for sources, destinations, tracking plans, warehouses, spaces, users, and events - [Superset](https://dezifi.ai/docs/integrations/superset): Superset integration for databases, datasets, charts, dashboards, queries, and roles - [Tableau](https://dezifi.ai/docs/integrations/tableau): Tableau integration for sites, projects, workbooks, views, datasources, users, groups, schedules, and jobs ### AI & Machine Learning - [AI & Machine Learning integrations](https://dezifi.ai/docs/integrations/categories/ai-ml): Model providers, hosted inference endpoints, and ML model hubs. - [Anthropic](https://dezifi.ai/docs/integrations/anthropic): Anthropic integration for messages, models, token counting, and batch operations - [Azure OpenAI](https://dezifi.ai/docs/integrations/azure-openai): Azure OpenAI integration for completions, chat, embeddings, deployments, models, images, transcription, and translation - [Hugging Face](https://dezifi.ai/docs/integrations/huggingface): Hugging Face integration for models, datasets, spaces, inference, repos, and user operations - [OpenAI](https://dezifi.ai/docs/integrations/openai): OpenAI integration for completions, chat, embeddings, models, images, files, fine-tuning, moderation, and assistants - [Vertex AI](https://dezifi.ai/docs/integrations/vertex-ai): Vertex AI integration for predictions, models, endpoints, datasets, training pipelines, batch predictions, and custom jobs ### Developer Tools - [Developer Tools integrations](https://dezifi.ai/docs/integrations/categories/developer-tools): API design, testing, and developer productivity utilities. - [Insomnia](https://dezifi.ai/docs/integrations/insomnia): Insomnia integration for workspaces, collections, environments, requests, and API testing - [Postman](https://dezifi.ai/docs/integrations/postman): Postman integration for collections, environments, workspaces, monitors, mocks, and APIs - [Swagger/OpenAPI](https://dezifi.ai/docs/integrations/swagger): Swagger/OpenAPI integration for spec parsing, APIs, endpoints, validation, models, and search ### Business & Enterprise - [Business & Enterprise integrations](https://dezifi.ai/docs/integrations/categories/business): ERP, HCM, finance, and back-office systems of record. - [Mailchimp](https://dezifi.ai/docs/integrations/mailchimp): Mailchimp integration for lists, members, campaigns, templates, and reports - [Marketo](https://dezifi.ai/docs/integrations/marketo): Marketo integration for leads, activities, campaigns, programs, and lists - [NetSuite](https://dezifi.ai/docs/integrations/netsuite): NetSuite integration for records, SuiteQL, saved searches, subsidiaries, and company info - [QuickBooks](https://dezifi.ai/docs/integrations/quickbooks): QuickBooks integration for invoices, customers, items, accounts, payments, bills, company info, queries, and reports - [SAP](https://dezifi.ai/docs/integrations/sap): SAP Integration - [Shopify](https://dezifi.ai/docs/integrations/shopify): Shopify integration for products, orders, customers, collections, inventory, fulfillments, locations, themes, and pages - [Stripe](https://dezifi.ai/docs/integrations/stripe): Stripe integration for customers, charges, payments, subscriptions, invoices, products, and balance - [Workday](https://dezifi.ai/docs/integrations/workday): Workday integration for workers, organizations, job profiles, positions, supervisory orgs, cost centers, business processes, time off, compensation, and payroll ### CRM & Sales - [CRM & Sales integrations](https://dezifi.ai/docs/integrations/categories/crm): Customer relationship management and sales pipeline platforms. - [HubSpot](https://dezifi.ai/docs/integrations/hubspot): HubSpot integration for contacts, deals, companies, pipelines, owners, and engagements - [Pipedrive](https://dezifi.ai/docs/integrations/pipedrive): Pipedrive integration for deals, persons, organizations, activities, pipelines, and stages - [Salesforce](https://dezifi.ai/docs/integrations/salesforce): Salesforce CRM integration for SOQL queries, record CRUD, and reporting via MCP protocol - [Zoho CRM](https://dezifi.ai/docs/integrations/zoho-crm): Zoho CRM integration for records, modules, users, organizations, and fields ### Support & IT Service Management - [Support & IT Service Management integrations](https://dezifi.ai/docs/integrations/categories/support): Helpdesk, customer support, and IT service management systems. - [Freshdesk](https://dezifi.ai/docs/integrations/freshdesk): Freshdesk integration for tickets, contacts, agents, groups, companies, and notes - [Intercom](https://dezifi.ai/docs/integrations/intercom): Intercom integration for contacts, conversations, companies, tags, segments, admins, and articles - [ServiceNow](https://dezifi.ai/docs/integrations/servicenow): ServiceNow integration for incident management, change requests, CMDB, knowledge base, and service catalog via MCP protocol - [Zendesk](https://dezifi.ai/docs/integrations/zendesk): Zendesk integration for tickets, users, organizations, comments, groups, views, macros, and triggers ### Design & Creative - [Design & Creative integrations](https://dezifi.ai/docs/integrations/categories/design): Design surfaces, whiteboards, diagramming, and image generation tools. - [Figma](https://dezifi.ai/docs/integrations/figma): Figma integration for files, projects, comments, team projects, versions, nodes, images, components, and styles - [Image Generation](https://dezifi.ai/docs/integrations/image-generation): Generate images from a text prompt using Google Gemini Imagen. Returns a previewable image attached inline to the chat. - [Lucidchart](https://dezifi.ai/docs/integrations/lucidchart): Lucidchart integration for documents, folders, users, search, and templates - [Miro](https://dezifi.ai/docs/integrations/miro): Miro integration for boards, items, members, tags, sticky notes, and connectors ### File Management - [File Management integrations](https://dezifi.ai/docs/integrations/categories/file-management): Cloud file storage and document management platforms. - [OneDrive](https://dezifi.ai/docs/integrations/onedrive): Microsoft 365 OneDrive integration via Microsoft Graph: list, search, and download files; list shared items. ### Custom - [Custom integrations](https://dezifi.ai/docs/integrations/categories/custom): Customer-defined custom tools and APIs. - [Workspace custom integration](https://dezifi.ai/docs/integrations/custom-mcp): Custom MCP or API endpoints you add under Dashboard → Integrations → Custom. Credentials are stored on each custom definition. ## Legal - [Privacy policy](https://dezifi.ai/privacy) - [Terms of service](https://dezifi.ai/terms)