Part 10

Use Tracelight from Other AI Tools

Tracelight runs an MCP server, open on every plan, so you can use it from Claude, ChatGPT, Cursor, and any other MCP client.
From your AI tool, you can hand tasks to the Tracelight agent, browse and upload project files, and collect what the agent produced.
Every client connects to the same address over streamable HTTP. The first time you connect, a browser window opens for you to sign in with your Tracelight account; there is no API key to copy.

https://app.tracelight.ai/api/mcp

In Claude, open Settings → Connectors and click “Add custom connector”.
Name it Tracelight, paste the server address above, and click “Add”. Then click “Connect” and sign in to Tracelight.
On Team and Enterprise plans, an owner adds the connector for the organisation first; each member then connects with their own Tracelight account.
Connectors added on claude.ai are also available in Claude Desktop and the Claude mobile apps.

Run the command below in your terminal.
Start Claude Code, type /mcp, choose tracelight, and select “Authenticate” to sign in.

claude mcp add --transport http tracelight https://app.tracelight.ai/api/mcp

In ChatGPT, open Settings → Apps & Connectors → Advanced settings and turn on Developer mode. Custom connectors need a Plus, Pro, Business, Enterprise, or Edu plan, and on Business and Enterprise plans a workspace admin may need to allow them.
Back in Apps & Connectors, click “Create”, name it Tracelight, paste the server address above, choose OAuth authentication, and create it. ChatGPT then asks you to sign in to Tracelight.
In a new chat, pick Tracelight from the tools menu under the composer.

Run the commands below. The second opens a browser window to sign in to Tracelight.

codex mcp add tracelight --url https://app.tracelight.ai/api/mcp
codex mcp login tracelight

Open Cursor Settings → Tools & MCP and click “New MCP Server”. This opens ~/.cursor/mcp.json; add the entry below and save.
Back in Tools & MCP, click “Connect” next to tracelight and sign in.

{
  "mcpServers": {
    "tracelight": {
      "url": "https://app.tracelight.ai/api/mcp"
    }
  }
}

Open the Command Palette, run “MCP: Add Server”, choose HTTP, paste the server address above, and name it tracelight.
Alternatively, add the entry below to .vscode/mcp.json in your workspace, or to your user mcp.json via “MCP: Open User Configuration”.
VS Code asks you to sign in to Tracelight when the server first starts. Use Copilot Chat in Agent mode to call its tools.

{
  "servers": {
    "tracelight": {
      "type": "http",
      "url": "https://app.tracelight.ai/api/mcp"
    }
  }
}

Any client that supports remote MCP servers over streamable HTTP with OAuth can connect: give it the server address above and sign in when prompted.
If a client only supports local servers, bridge it with mcp-remote by running the server as: npx -y mcp-remote https://app.tracelight.ai/api/mcp