apridachin/kagi-search-mcp
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The Kagi MCP server enables web searches using the Kagi API, providing tools to enhance model context with web content and news.
ask_fastgpt
Search web and find an answer
enrich_web
Enrich model context with web content
enrich_news
Enrich model context with latest news
Kagi MCP server
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Development/Unpublished Servers Configuration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:
- Sync dependencies and update lockfile:
uv sync
- Build package distributions:
uv build
This will create source and wheel distributions in the dist/ directory.
- Publish to PyPI:
uv publish
Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token:
--tokenorUV_PUBLISH_TOKEN - Or username/password:
--username/UV_PUBLISH_USERNAMEand--password/UV_PUBLISH_PASSWORD
Debugging
npx @modelcontextprotocol/inspector uv --directory path_to_project run kagi-mcp