Kagi Search Mcp
What is Kagi Search Mcp
Kagi-search-mcp is an MCP server designed to facilitate web searches using the Kagi API, providing users with an efficient way to access information online.
Use cases
Use cases for kagi-search-mcp include academic research, news aggregation, content generation, and enhancing chatbot responses with real-time web data.
How to use
To use kagi-search-mcp, install it via Smithery with the command ‘npx -y @smithery/cli install kagi-mcp --client claude’. Ensure to configure your KAGI_API_KEY in the environment variables.
Key features
Key features include the ability to search the web using the ‘ask_fastgpt’ tool, enrich model context with web content through ‘enrich_web’, and stay updated with the latest news using ‘enrich_news’.
Where to use
Kagi-search-mcp can be utilized in various fields such as research, content creation, and any domain where quick and relevant information retrieval is essential.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Kagi Search Mcp
Kagi-search-mcp is an MCP server designed to facilitate web searches using the Kagi API, providing users with an efficient way to access information online.
Use cases
Use cases for kagi-search-mcp include academic research, news aggregation, content generation, and enhancing chatbot responses with real-time web data.
How to use
To use kagi-search-mcp, install it via Smithery with the command ‘npx -y @smithery/cli install kagi-mcp --client claude’. Ensure to configure your KAGI_API_KEY in the environment variables.
Key features
Key features include the ability to search the web using the ‘ask_fastgpt’ tool, enrich model context with web content through ‘enrich_web’, and stay updated with the latest news using ‘enrich_news’.
Where to use
Kagi-search-mcp can be utilized in various fields such as research, content creation, and any domain where quick and relevant information retrieval is essential.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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:
- 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
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
