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Sentrial provides an MCP (Model Context Protocol) server that lets AI coding tools search our documentation directly. Ask your AI to “instrument my agent with Sentrial” and it will pull the right docs, code examples, and API references automatically.

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Install with Claude Code

Run this in your terminal: 
claude mcp add --transport http Sentrial https://www.sentrial.com/docs/mcp
That’s it. The SearchSentrial tool is now available in all your Claude Code sessions.
To share this with your whole team, add --scope project to write it to .mcp.json in your repo root. Anyone who clones the repo gets the tool automatically.

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Install with Cursor

  1. Open Cursor Settings (Cmd + , / Ctrl + ,)
  2. Go to the MCP section
  3. Click Add new MCP server
  4. Set the type to SSE and the URL to:
https://www.sentrial.com/docs/mcp
Or add it directly to .cursor/mcp.json in your project: 
{
  "mcpServers": {
    "sentrial": {
      "type": "sse",
      "url": "https://www.sentrial.com/docs/mcp"
    }
  }
}

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What You Can Do

Once connected, just ask your AI assistant naturally:
  • “Instrument my agent with Sentrial”
  • “Add Sentrial tracking to my LangChain agent”
  • “How do I track tool calls with the Python SDK?”
  • “Set up Sentrial with the Vercel AI SDK”
The AI will search our docs and write the integration code for you.

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How It Works

The MCP server exposes a single SearchSentrial tool. When your AI assistant needs information about Sentrial, it calls this tool with a search query and gets back relevant documentation with code examples, API references, and direct links. No API key is needed — the docs MCP is public and read-only.