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MCP server

These docs are an MCP server. Connect it once and your coding assistant reads the documentation itself — searching it, opening pages, pulling an endpoint's exact request and response schema — instead of you pasting pages into a chat window.

Connect it

One URL, https://docs.munsit.com/api/mcp. No key, no auth, nothing to install — the docs are public and so is the server.

terminal

claude mcp add --transport http munsit-docs https://docs.munsit.com/api/mcp

Streamable HTTP, stateless — there is no session to keep alive and nothing to configure per project. What is MCP? →

Using Claude in the browser? Add https://docs.munsit.com/api/mcp as a custom connector under Settings → Connectors. Any client that takes a remote MCP URL will take this one.

What your assistant gets

Five tools. The first two are the ones it will reach for most: find the right page, then read it.

Tool	Arguments	What comes back
search_docs	`query`, `limit`	The pages matching a question, ranked, each with the excerpt that matched. Arabic queries work as well as English.
get_page	`path`	One page as Markdown, every code sample included. Takes `/errors`, `errors`, `/errors.md` or a full URL.
list_pages	—	The whole documentation index, grouped as the sidebar groups it, one line per page.
list_endpoints	`query`	Every REST operation from the OpenAPI spec: method, path, summary. Filterable.
get_endpoint	`path`, `method`	One operation's full OpenAPI definition — parameters, request body, responses — with every $ref inlined, so it reads as one self-contained document.

Ask for a working integration and it goes and gets what it needs:

prompt

Transcribe a meeting recording with speaker labels, in Python.Use the Munsit docs MCP server for the exact request and response shapes.

Without MCP

Everything the server exposes is a plain URL too, for a tool that only fetches. Nothing here needs a key either.

llms.txtEvery page with its one-line description — the index, for orienting before fetching./llms.txt llms-full.txtThe whole documentation as one Markdown file. Around 54k tokens, so prefer the MCP server or a single page./llms-full.txt Any page as MarkdownAppend .md to any URL, or send an Accept: text/markdown header and the same URL returns Markdown./errors.md OpenAPI & AsyncAPIThe REST surface and the WebSocket protocol as specs, for generating a client./openapi.json

Reading these docs is all this server does — it has no access to your Munsit account, your keys, or your audio. To call the API itself you still need a key.

Working with an AI assistant? Every page is available as Markdown: add .md to the URL, or send an Accept: text/markdown header. For the whole documentation in one request, point it at llms-full.txt; the page index is llms.txt. Or use Copy Page, top right.