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Agent Serve · Documents integration
Deploy, edit, search, and measure Mintlify documentation
Mintlify is a Documents integration for Agent Serve, the AI workspace where teams build and deploy AI agents. Agent Serve's Mintlify integration provides 18 Mintlify tools that AI agents can use inside Agent Serve's visual workflow builder. Mintlify connects with an API key. Explore deployment options with the Agent Serve team.
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Integrate Mintlify into your workflow. Trigger production and preview deployments, run scheduled automations, launch documentation agent jobs, detect AI-sounding prose, search your docs and read page content, ask the docs assistant, and export feedback, conversation, search, view, and visitor analytics.
Agent Serve accounts are created by invitation. Request access for your team, or accept an invitation from your workspace admin, then sign in.
Open your workspace, drag a Mintlify block onto the workflow builder, and paste in your Mintlify API key.
Pick the tool you need, wire in an AI agent for reasoning or data transformation, and run. Your Mintlify automation is live.
18 Mintlify tools available in Agent Serve.
Queue a deployment update for a Mintlify documentation project from its configured deployment branch. Returns a status ID for tracking progress.
Get the status of a Mintlify deployment update from its status ID, including logs, commit details, and screenshots.
Create or update a Mintlify preview deployment for a Git branch. Redeploys when a preview already exists for the branch.
Run a scheduled Mintlify automation immediately instead of waiting for its next scheduled time. Only automations with a custom schedule can be triggered.
Create a background Mintlify agent job that edits your documentation from a prompt. Opens a pull request when the agent successfully edits files.
Retrieve the current status and details of a Mintlify agent job, including the pull request link once the agent opens one.
Send a follow-up instruction to an existing Mintlify agent job. The message is processed asynchronously.
Analyze a documentation page for AI-generated prose and return flagged passages with suggested human rewrites. Consumes one AI credit per checked page.
Run a semantic and keyword search across a Mintlify documentation site, with optional version, language, tag, and group filters.
Retrieve the full text content of a Mintlify documentation page by its path. Use it after a search to fetch the complete page.
Ask the Mintlify assistant, trained on your documentation, a question and get the assembled answer with its cited sources. Consumes the deployment's assistant credits.
Export paginated user feedback from a Mintlify documentation project, with optional date-range, source, and status filters.
Export Mintlify feedback counts aggregated by documentation page path, broken down into thumbs up, thumbs down, and code snippet feedback.
Export paginated Mintlify AI assistant conversation history, including the query, response, cited sources, and whether the question was answered.
Get a breakdown of Mintlify assistant query counts by caller type — web, API, and other — for a date range.
Export Mintlify documentation search terms for a date range, ordered by hit count, with click-through rate and the most-clicked result path.
Export Mintlify per-path and site-wide content view counts for a date range, split by human and AI bot traffic.
Export Mintlify per-path and site-wide approximate distinct visitor counts for a date range, split by human and AI bot traffic.
Ready-to-use templates featuring Mintlify. Click any to build it instantly.
Agent Serve's Mintlify integration adds 18 Mintlify tools to the AI agents you build in Agent Serve's visual workflow builder — you build it all visually. Deploy, edit, search, and measure Mintlify documentation. Teams often pair Mintlify with Linear and QuickBooks in the same agent.
Agent Serve is available to teams by invitation. Request access and the team will map out the Mintlify agents, connections, and team access your process needs.