ContextMCP documentation server

ContextMCP is a helper you set up yourself that turns your documentation into something your AI assistant can search. You point it at your docs, it reads and organizes them, and then your AI can answer questions using your own content instead of guessing. It is handy if you have a pile of docs, READMEs, or API notes and want quick, accurate answers from them.

What this MCP server does

You ask your AI a question about your product or docs. The AI sends that question to this helper. The helper searches the index it built earlier from your documentation. It finds the most relevant pieces and sends them back. Your AI then writes an answer for you based on what it found.

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What you can do with it

• Search your own documentation by asking a plain question
• Index Markdown, MDX, and OpenAPI/Swagger files
• Pull content from READMEs and changelogs
• Keep a searchable copy of your docs in a vector database
• Answer questions using your docs instead of general knowledge
• Serve your docs to AI assistants through a standard connection

Try asking your AI

• “What does our API say about refunds?”
• “Find the part of our docs that explains authentication”
• “Summarize what changed in the last release notes”
• “How do I set up a webhook according to our documentation?”

What it gives back to you

You get answers in the chat, written in plain language and based on your own docs. The helper sends back the most relevant passages it found, and your AI turns them into a reply. You can also get short summaries or lists of matching sections. It does not change your files; it only reads and searches them.

Before you start

Who it's for

People who maintain documentation, developer relations folks, and small teams who want their own docs to be searchable by an AI assistant.