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Documentation Index

Fetch the complete documentation index at: https://docs.relayer.fi/llms.txt

Use this file to discover all available pages before exploring further.

The Relayer documentation ships with first-class AI integration. You don’t need to copy/paste pages into a chat anymore — your AI assistant can query the docs directly as a tool.
Built into Mintlify: an MCP server, contextual menus, and llms.txt — all already live for this site.

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Why connect via MCP

The Model Context Protocol lets AI clients (Claude Code, Cursor, ChatGPT, Windsurf, Devin, VS Code) search and read this documentation as a tool call during a conversation. Concretely:
  • Your AI assistant has up-to-date answers about every endpoint, every parameter, every flow — not outdated training data
  • The assistant decides when to consult the docs; you don’t have to attach pages manually
  • Auth, search, and full-page retrieval all work out of the box

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The MCP server URL

https://docs.relayer.fi/mcp
This URL exposes two tools to any connected client:
  • search — finds relevant snippets across all docs, returns titles + links
  • query docs filesystem — retrieves full page content with shell-style commands

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Connect to Claude Code

Run this in your terminal: 
claude mcp add --transport http relayer-docs https://docs.relayer.fi/mcp
That’s it. New Claude Code sessions will automatically discover and use the Relayer docs as a tool. Verify it’s connected: 
claude mcp list

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Connect to Cursor

Add this to your ~/.cursor/mcp.json (or the project’s .cursor/mcp.json for per-repo scope): 
{
  "mcpServers": {
    "relayer-docs": {
      "url": "https://docs.relayer.fi/mcp"
    }
  }
}
Restart Cursor. The MCP server appears in Settings → MCP.

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Connect to VS Code

VS Code’s MCP integration is configured via the same mcp.json format inside your workspace: 
{
  "mcpServers": {
    "relayer-docs": {
      "url": "https://docs.relayer.fi/mcp"
    }
  }
}
Or use the Connect to VS Code button in the contextual menu on any page — it opens VS Code with the server preinstalled.

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Connect to ChatGPT / Claude / Perplexity / Grok

These web-based assistants don’t use MCP directly. Instead, the documentation gives them context per page through the contextual menu:
1

Open any page in the docs

Navigate to the page you want to ask about.
2

Click the contextual button (top right)

You’ll see options for Copy as Markdown, View as Markdown, and direct deeplinks to ChatGPT / Claude / Perplexity / Grok / Google AI Studio.
3

Pick a target

The chosen tool opens with the current page already attached as context. Ask your question — the assistant has the page content available immediately.

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Use llms.txt

Every Mintlify-hosted docs site exposes a curated index of LLM-friendly Markdown at: 
https://docs.relayer.fi/llms.txt
Feed this URL to any LLM workflow that wants a complete machine-readable summary of the documentation tree. It’s an indexed table of contents with every page link in plain text — ideal for retrieval-augmented generation pipelines or one-shot doc ingestion. For full page content, individual pages are available as Markdown at <page-url>.md: 
https://docs.relayer.fi/api-reference/introduction.md
https://docs.relayer.fi/signing/flow-guide.md

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What the assistant can answer well

Once connected, your AI tool can answer questions like:
  • “How do I create an agent with a $500 monthly USDC budget?” — it queries /agent/flow-guide and POST /v1/agents/{id}/budget
  • “What headers does the agent SDK send?” — it pulls get-started/authentication
  • “Generate a Node.js snippet to prepare and confirm a Solana transaction” — it combines the signing flow guide with the endpoint params
  • “Which endpoints in Payout are public vs dashboard-only?” — it consults the API Reference tags and the architecture page

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What it can’t answer (yet)

The MCP server returns what’s in the docs. It doesn’t have access to:
  • Your workspace’s specific API keys, agents, or wallet IDs (use the dashboard for those)
  • Live data from your account (balances, orders, etc.) — for that, the assistant would need to call the API itself with your credentials
  • Information not published in this site (internal roadmap, pricing for enterprise tiers, etc.)

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Get help

  • MCP issues: try claude mcp remove relayer-docs and re-add. If problems persist, open a support email.
  • AI assistants giving wrong answers: this likely means the docs themselves are unclear or stale — please report at dev@relayer.fi and we’ll fix the page.

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Next Steps

Quickstart

Make your first API call in under 5 minutes.

API Reference

Browse the full endpoint surface with an interactive playground.