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These docs are built to be read by AI tools, not just people. Point your coding agent at them and it can answer Prava questions — and write your integration — using the real, up-to-date documentation instead of guessing.
This connects an AI to the documentation. It is not the Prava Pay payments connector that lets an agent actually pay — that’s a separate, upcoming capability. See Prava Pay.

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Connect the docs MCP server

We host a standard Model Context Protocol (MCP) server for these docs. MCP is an open protocol, so any MCP-compatible AI tool can connect to the same endpoint and gain a “search the Prava docs” capability — Claude Code, Cursor, VS Code / Copilot, Windsurf, Cline, Continue, Goose, Zed, and others. Add this to your client’s MCP settings: 
{
  "mcpServers": {
    "prava-docs": {
      "url": "https://docs.prava.space/mcp"
    }
  }
}

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Quick-add by tool

claude mcp add --transport http prava-docs https://docs.prava.space/mcp

MCP settings → "Add server" → paste the URL:
  https://docs.prava.space/mcp

Settings → Connectors → "Add custom connector" →
  Name: Prava Docs
  URL:  https://docs.prava.space/mcp

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Older / stdio-only clients

If a client only supports local (stdio) MCP servers, bridge to the hosted endpoint with mcp-remote: 
npx -y mcp-remote https://docs.prava.space/mcp
Once connected, ask your agent things like “Using the Prava docs, how do I create a payment session?” and it will pull the answer straight from these pages.

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Feed the docs to any LLM (llms.txt)

Prefer to paste context into a model directly? These docs publish machine-readable indexes:
FileWhat it is
https://docs.prava.space/llms.txtA concise index of every page — good for navigation.
https://docs.prava.space/llms-full.txtThe full docs as one text file — paste it in for complete context.
Drop either URL (or its contents) into ChatGPT, Claude, or any LLM to ground it in Prava’s documentation.

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Per-page AI actions

Every page has an AI menu in the top-right:
  • Copy page — copy the page as clean Markdown.
  • Open in ChatGPT / Claude — start a chat pre-loaded with this page.
  • View as Markdown — see the raw Markdown a model would read.

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Why this matters for Prava

Prava is built for AI agents. Making the docs first-class for the tools your developers already use — Cursor, Claude Code, and others — means less guesswork, fewer hallucinated API calls, and a faster path from “what’s Prava?” to a working integration.