Integration

Mintlify integration

Intelligent documentation platform that enables teams to create beautiful, AI-powered documentation sites. Features include automatic documentation generation, AI-powered search and chat assistants trained on your docs, automated editing through agent jobs, and seamless deployment workflows. Perfect for developer documentation, API references, and knowledge bases. Powers documentation for over 5,000 companies reaching 20 million developers annually.

Connect Mintlify How integrations work

Ask it in chat

Say what should happen.
The workflow builds itself.

When this happens, do that in Mintlify.Built from the 8 Mintlify tools below, on the connection you add once.

Common Mintlify use cases

monitoring agent job progress
building custom search interfaces
rendering custom navigation components
bulk documentation updates across pages
auditing agent activity on documentation
polling for deployment completion in CI/CD
embedding AI assistant in product interfaces
CI/CD pipeline integration for automatic doc updates
building custom support chatbots
finding specific jobs for review

What you can do with Mintlify

Each of these is one operation on one endpoint, available both as a workflow step and as a tool an AI agent can call on its own. Nothing bundles several operations into one action, so what a run did stays readable afterwards.

Most endpoints run on the free plan. A few, mainly the ones that publish on your behalf, need a paid plan.

Agent job, 3 operations

create_agent_jobCreate agent jobPOSTCreates an AI agent job to automatically edit documentation based on your instructions. The agent can add, modify, or reorganize content across your docs. Returns a job ID for tracking progress. Creates changes as draft PRs by default for review b...
get_agent_jobGet agent jobGETGets the details and status of a specific agent job. Returns the job configuration, current state (pending, running, completed, failed), progress information, and results including any changes made or errors encountered.
get_all_agent_jobsGet all agent jobsGETLists all agent jobs for a documentation project. Returns job IDs, prompts, statuses, and timestamps for each job. Supports pagination for projects with many jobs.

Update, 2 operations

get_update_statusGet update statusGETGets the current status of a documentation update. Returns details including progress state, completion time, and any errors. Use this to poll for deployment completion in automated workflows.
trigger_updateTrigger updatePOSTTriggers a deployment update for your documentation site. Returns a status ID that can be used to track update progress. Use this for CI/CD integration to automatically update docs when code changes.

Assistant, 1 operation

generate_assistant_messageGenerate assistant messagePOSTGenerates an AI-powered response to a user question using your documentation as the knowledge base. Returns an answer with citations to relevant documentation pages. Supports multi-turn conversations with conversation IDs.

Documentation, 1 operation

search_documentationSearch documentationPOSTSearches through your documentation using semantic and keyword matching. Returns ranked results with page titles, excerpts, and URLs. Supports filtering by section or metadata and configurable result limits.

Navigation, 1 operation

get_navigationGet navigationGETGets the complete navigation structure including groups, pages, and hierarchy. Returns the table of contents as configured in your docs.json file.

Mintlify API rate limits

10 requests per second

Up to 10 API keys can be created per hour per organization

These are the limits Mintlify documents, not ones LiveContext measured. They can change and often depend on your plan, so check the Mintlify documentation for current values.

Use Mintlify from Claude Code, Cursor or Codex

Connect Mintlify in LiveContext, create an API key in Settings, then add the LiveContext MCP server to your client. Its Mintlify operations become tools the client can call, next to every other integration you connected.

Claude Code

claude mcp add --transport http livecontext https://livecontext.ai/mcp --header "X-API-Key: YOUR_API_KEY"

Codex (~/.codex/config.toml)

[mcp_servers.livecontext]
url = "https://livecontext.ai/mcp"

[mcp_servers.livecontext.http_headers]
"X-API-Key" = "YOUR_API_KEY"

Cursor, Claude Desktop and other JSON configs

{
  "mcpServers": {
    "livecontext": {
      "type": "http",
      "url": "https://livecontext.ai/mcp",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}

Set up the MCP server step by step

How to connect Mintlify

Create your workspace
Sign up free. Nothing to install.
Connect Mintlify once
Add your Mintlify connection in Settings. Every tool from this integration reuses it, and secrets are encrypted at rest and visible only to you.
Describe the job in chat
The workflow builds itself in front of you and picks the endpoints it needs. Drag the steps yourself on the canvas whenever you would rather be explicit.

Mintlify integration FAQ

What can you do with the Mintlify integration?

LiveContext exposes 8 operations on Mintlify, covering agent job, update, assistant and documentation. Common uses include monitoring agent job progress, building custom search interfaces and rendering custom navigation components.

What are the Mintlify API rate limits?

Mintlify documents 10 requests per second. Up to 10 API keys can be created per hour per organization Limits are set by Mintlify and can depend on your plan.