Connect an agent

Give an AI tool access to your GigaRAG Workspace, so it can search, read and write your memos while it works.

Z.ai API

Connect GigaRAG as an MCP tool in a GLM chat completions request.

Use it in code

The snippet has your key in it so it runs as pasted. Move it to an environment variable before the code is committed or shared.

Add this to the tools array of your chat/completions request

{
  "type": "mcp",
  "mcp": {
    "server_label": "gigarag",
    "server_url": "https://mcp.gigarag.com/mcp",
    "transport_type": "streamable-http",
    "headers": { "Authorization": "Bearer <api-key>" }
  }
}

Needs an API key. Get one from API keys.

Check it worked

Send this once it is connected. An answer drawn from your workspace means the connection is live.

Run it. The model should answer with your GigaRAG buckets.

Written from the official docs: MCP calls