4.8
on G2
Docsie helps developers connecting AI tools to documentation via MCP. No-code platform to build custom AI agents for your docs. Connect external APIs, add internal knowledge, auto-routing. Create a Jira assistant or compliance bot in minutes.
Join forward-thinking teams using Docsie
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You're building AI features into your dev tools, but every documentation integration is a custom nightmare. MCP changes that.
Why Docsie
Turn your documentation into a first-class AI data source without the integration headache.
Docsie speaks MCP natively. Your documentation becomes instantly available to Claude Desktop, Cursor, and any other MCP client. No middleware, no wrapper code, no maintenance burden when protocols update.
AI tools automatically pull from the right documentation version based on what your user is working with. Your v2.0 users don't get confused by v3.0 answers. This actually works the way developers expect it to.
Build MCP servers that do more than search docs. Connect your knowledge base with Jira status, pull live system health, or check compliance requirements. Drag-and-drop builder, no Python or TypeScript required.
Developers are using Docsie MCP integration to ship AI features faster.
SaaS platforms are embedding Docsie's MCP server so their customers' AI coding assistants (Cursor, Windsurf, Claude) can reference their API docs in real-time. Developers get accurate answers without leaving their IDE.
Platform teams are connecting their internal docs, runbooks, and architecture decisions to AI assistants via MCP. When someone asks 'how do I deploy to staging?' in Claude, they get your team's actual process.
Tech writing teams are using Docsie to make their docs the authoritative source for AI assistants company-wide. Instead of fighting AI hallucinations, they're training tools to cite real docs.
Everything you need to make your documentation work seamlessly with MCP-based AI tools.
We host and maintain your MCP server — you just point AI tools at it and it works.
AI tools automatically query the right docs version based on context, not just the latest.
Your MCP server includes AI-optimized search that understands intent, not just keywords.
Create MCP tools that combine docs with live data from your systems using our visual builder.
MCP respects your existing doc permissions — users only see what they're allowed to see.
See which docs AI tools reference most and which questions they can't answer yet.
Common Questions
Everything developers ask us about MCP integration.
Q: How long does it take to set up MCP integration?
A: About 10 minutes. You'll get an MCP server URL from Docsie, add it to your AI tool's config, and you're live. No code deployment, no infrastructure setup, no waiting for IT approval.
Q: Does this work with my existing documentation?
A: Yes. Import from Markdown, GitBook, Confluence, or any static site. Your existing structure stays intact — we just make it available via MCP. Most teams are up and running the same day.
Q: Which AI tools support MCP?
A: Claude Desktop, Cursor, Windsurf, and a growing list of developer tools. Anthropic created MCP as an open standard, so adoption is accelerating fast. If a tool supports MCP, it works with Docsie.
Q: Can I control which docs are exposed via MCP?
A: Absolutely. You set granular permissions in Docsie, and the MCP server respects them. Public docs can be wide open, internal runbooks stay locked down. It's the same permission model you already use.
Q: Where does the AI processing happen?
A: The MCP protocol just provides context to AI tools — the actual AI processing happens in whatever tool your users are running (Claude, Cursor, etc.). Docsie never sees their prompts or responses, we just serve documentation when requested.
Still have questions?
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