Kagi MCP server

MCP server that allows to search web using Kagi API

Components

Resources

The server implements calls of API methods:

• fastgpt
• enrich/web
• enrich/news

Prompts

The server provides doesn't provide any prompts:

Tools

The server implements several tools:

• ask_fastgpt to search web and find an answer
• enrich_web to enrich model context with web content
• enrich_news to enrich model context with latest news

Configuration

Quickstart

Install

Installing via Smithery

To install the Kagi MCP server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install kagi-mcp --client claude

Claude Desktop

On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json

Development/Unpublished Servers Configuration

  "mcpServers": {
    "kagi-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "path_to_project",
        "run",
        "kagi-mcp"
      ],
      "env": {
        "KAGI_API_KEY": "YOUR API KEY"
      }
    }
  }

Development

Building and Publishing

To prepare the package for distribution:

1. Sync dependencies and update lockfile:

   uv sync

2. Build package distributions:

   uv build

This will create source and wheel distributions in the dist/ directory.

3. Publish to PyPI:

   uv publish

Note: You'll need to set PyPI credentials via environment variables or command flags:

• Token: --token or UV_PUBLISH_TOKEN
• Or username/password: --username/UV_PUBLISH_USERNAME and --password/UV_PUBLISH_PASSWORD

Debugging

npx @modelcontextprotocol/inspector uv --directory path_to_project run kagi-mcp