LLMtoMD をお使いの AI ツールに接続

Claude.ai (web)

1. Open claude.ai → Settings → Connectors → Add custom connector (a paid plan is required).
2. Paste the Connector URL above, leave the OAuth fields blank, and click Connect.
3. Sign in to LLMtoMD and click Allow.

Claude Desktop

1. Settings → Developer → Edit config, add this to claude_desktop_config.json, then restart. The first run opens a browser to sign in:

{
  "mcpServers": {
    "llmtomd": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.llmtomd.com/mcp"]
    }
  }
}

Claude API

1. Pass LLMtoMD as a remote MCP server with an API key:

client.beta.messages.create(
    model="claude-opus-4-8",
    max_tokens=1024,
    mcp_servers=[{
        "type": "url",
        "name": "llmtomd",
        "url": "https://mcp.llmtomd.com/mcp",
        "authorization_token": "mic_YOUR_KEY",
    }],
    betas=["mcp-client-2025-11-20"],
    messages=[{"role": "user", "content": "List my LLMtoMD documents."}],
)

GitHub Copilot (agent mode)

1. Click Add to VS Code above, then Install in the prompt VS Code shows — no file editing.
2. The first run opens a browser to sign in to LLMtoMD (OAuth) — no key. After you approve, the tools appear in Copilot's agent mode.
3. Prefer to do it by hand? Command Palette → MCP: Open User Configuration and add the server below instead.

{
  "servers": {
    "llmtomd": { "type": "http", "url": "https://mcp.llmtomd.com/mcp" }
  }
}

Claude Code (in VS Code or the terminal)

1. Claude Code has no one-click link (it keeps its own config). Run this once, then /mcp to finish the sign-in:

claude mcp add --transport http llmtomd https://mcp.llmtomd.com/mcp

Claude Code — share with a repo (.mcp.json)

1. Commit a .mcp.json at the repo root so everyone who opens it gets LLMtoMD (Claude Code prompts to approve on first use):

{
  "mcpServers": {
    "llmtomd": { "type": "http", "url": "https://mcp.llmtomd.com/mcp" }
  }
}

1. Enable Developer Mode: ChatGPT → Settings → Connectors (Apps) → Advanced → Developer mode (Plus/Pro/Team/Enterprise, beta).
2. In a chat, open the + (or Settings → Connectors) → Add a custom connector with the Connector URL above.
3. Sign in to LLMtoMD and click Allow.

LangSmith / Fleet (no code)

1. In LangSmith → Settings → MCP servers → Add server → Add custom MCP.
2. Name it "llmtomd" and set the URL to https://mcp.llmtomd.com/mcp.
3. Under Authentication keep Static Headers, click Add header, and set Key to Authorization and Value to the line below. (Or choose OAuth 2.1 (Auto) to sign in instead of pasting a key.)
4. Save server — the LLMtoMD tools now show under Tools and are available to your Fleet agents.

Authorization: Bearer mic_YOUR_KEY

Python (langchain-mcp-adapters)

1. Install the adapter: pip install langchain-mcp-adapters

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
    "llmtomd": {
        "transport": "streamable_http",
        "url": "https://mcp.llmtomd.com/mcp",
        "headers": {"Authorization": "Bearer mic_YOUR_KEY"},
    }
})
tools = await client.get_tools()  # pass these into your agent