Give your AI the docs for every tool in your stack.
Your architecture diagram has a dozen boxes. Your coding assistant has read none of their documentation. MCP Studio turns every docs site and repo in that diagram into one MCP server your IDE can query while you build.
Free tier: 3 servers, 50 requests a month. No credit card.
Your assistant is confidently wrong about your stack
Coding assistants are trained on a snapshot of the internet. They know what your framework looked like eighteen months ago, they have never seen your internal repos, and they cannot tell the difference between a v2 API and a v4 one. So they guess, and the guess compiles.
What that looks like
- Suggested methods that were removed two major versions ago
- Config keys invented to fit the shape of the question
- No knowledge of your private repos or internal conventions
- Answers that mix syntax from three different libraries
How it works
Three steps, start to finish
- 1
List the boxes in your architecture
Open your architecture diagram and write down every tool in it: the framework, the database, the ORM, the payment provider, the host. Each one has a documentation site, and most have a public GitHub repo.
- 2
Paste them into one MCP server
Add each documentation URL and repo as a source in the MCP Studio wizard. Sources are indexed in the background as durable jobs, so you can close the tab. The server answers immediately using live fetching while indexing catches up.
- 3
Connect it to your IDE and build
Copy the generated JSON config into Cursor, Claude Desktop, or Windsurf. Your assistant now answers from the actual documentation for your actual versions, and the dashboard shows you which sources it reaches for.
What to add for a full-stack project
- Framework docs — Next.js, Django, Rails, whatever you build on
- Database and ORM docs — Postgres, Prisma, Drizzle, SQLAlchemy
- The GitHub repo for any library whose docs are thin
- Your payment, auth, and email provider documentation
- Your own internal docs, RFCs, and private repos
- An existing MCP endpoint you already run, federated in
Tools worth enabling
- get_code_examples
- Pulls working snippets out of the docs and repos instead of letting the model reconstruct them from memory.
- find_api_reference
- Resolves an exact method signature, which is where hallucinated arguments usually come from.
- extract_schema
- Returns real type and schema definitions so generated models match your database.
- search_issues
- Finds the GitHub issue describing the error you just hit, often before you finish reading the stack trace.
Questions
- Can I add private GitHub repositories to an MCP server?
- Yes. Sign in with GitHub in MCP Studio and you can add private repositories as sources alongside public documentation sites. The indexed content is scoped to your server and is not shared with other accounts.
- How many documentation sites can one MCP server hold?
- The free tier includes two sources per server, and each website source is indexed up to 5,000 pages. Paid plans raise the source limit, and you can also run several servers and connect all of them to your IDE at once.
- Which AI coding tools work with MCP Studio?
- Any client that speaks the Model Context Protocol. MCP Studio generates a JSON config that works in Cursor, Claude Desktop, and Windsurf, and exposes both a streamable HTTP JSON-RPC endpoint and a legacy SSE endpoint for older clients.
- Do I have to write any backend code?
- No. MCP Studio is a no-code builder. You paste source URLs, pick which tools to expose, and deploy. Appa Tools runs the indexing pipeline, the search engine, and the MCP runtime for you.
- What happens when a library releases a new version?
- Sources are re-crawled on a schedule, so the server picks up documentation changes without you rebuilding it. You can also trigger a refresh manually from the dashboard after a major release.