MIT License
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:
Claude Desktop
On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
Development
Building and Publishing
To prepare the package for distribution:
- Sync dependencies and update lockfile:
- Build package distributions:
This will create source and wheel distributions in the dist/ directory.
- Publish to PyPI:
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
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
fastgpt, enrich/web, enrich/news와 같은 방법을 통해 Kagi의 API를 사용하여 웹 검색 및 콘텐츠 강화가 가능합니다.
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