MCP server

Connect an AI agent to these docs over MCP at docs.monvera.best/mcp — search and read every page.

These docs are an MCP server. Point any Model Context Protocol client at https://docs.monvera.best/mcp and it can search and read every page — no key, no signup, no rate limit.

https://docs.monvera.best/mcp

It speaks Streamable HTTP over a single POST. There is no authentication because there is nothing to protect: the corpus is the same public documentation you are reading, and the server is strictly read-only.

Tools

Tool	What it does
`search_monvera_docs`	Find pages by keyword. Takes `query`, optional `section` (`start`, `use`, `safety`, `how`, `dev`, `reference`) and `limit`. Returns each match with its id, title, URL, and an excerpt.
`get_monvera_doc`	Return one page in full. Takes `id`, the value `search_monvera_docs` gave you — for example `use/your-plan`. A full URL works too.

The intended loop is search first, then read: search_monvera_docs to find the page, get_monvera_doc to get its text.

Connect a client

Most clients take a URL. In an mcpServers config block:

{
  "mcpServers": {
    "monvera-docs": {
      "type": "http",
      "url": "https://docs.monvera.best/mcp"
    }
  }
}

With the Claude Code CLI:

claude mcp add --transport http monvera-docs https://docs.monvera.best/mcp

Call it directly

Every MCP message is JSON-RPC, so curl is a fine client:

curl -s -X POST https://docs.monvera.best/mcp \
  -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call",
       "params":{"name":"search_monvera_docs",
                 "arguments":{"query":"what it costs","limit":3}}}'

Plain text, if you prefer

Not every agent speaks MCP. The same content is published as plain text:

File	What it holds
`/llms.txt`	Every page, grouped, with a one-line description each. Start here.
`/_llms-txt/using-monvera.txt`	The full text of every product page.
`/_llms-txt/developer-and-api.txt`	The full text of every developer and API page.
`/llms-full.txt`	The whole site in one file.

Vera reads /llms.txt herself, which is why she can point you at a page when you ask her something these docs answer.