mcp-servers-kagi

MCP server for Kagi API integration

This is a TypeScript-based MCP server that integrates the Kagi Search API. It demonstrates core MCP concepts by providing:

• Tools for performing web searches and other operations using Kagi's API (currently in private beta)

• kagi_search - Perform web searches using Kagi
  • Takes a query string and optional limit as parameters
  • Returns search results from Kagi's API

• kagi_summarize - Generate summaries of web pages or text
• kagi_fastgpt - Get quick responses using Kagi's FastGPT
• kagi_enrich - Fetch enriched news results on specific topics

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

Create a .env file in the root directory with your Kagi API key:

KAGI_API_KEY=your_api_key_here

Make sure to add .env to your .gitignore file to keep your API key secure.

To install Kagi Server for Claude Desktop automatically via Smithery:

npx @smithery/cli install kagi-server --client claude

To use with Claude Desktop, add the server config:

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "kagi-server": {
      "command": "/path/to/kagi-server/build/index.js",
      "env": {
        "KAGI_API_KEY": "your_api_key_here"
      }
    }
  }
}

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:

npm run inspector

The Inspector will provide a URL to access debugging tools in your browser.

Once the server is running and connected to Claude Desktop, you can use it to perform web searches. For example:

1. Ask Claude: "Can you search for information about the latest advancements in quantum computing?"
2. Claude will use the kagi_search tool to fetch results from Kagi's API.
3. Claude will then summarize or analyze the search results for you.

Note: The planned tools (summarize, fastgpt, enrich) are not yet implemented and cannot be used.

Contributions are welcome! Please feel free to submit a Pull Request. Some areas for contribution include:

• Implementing the planned tools (summarize, fastgpt, enrich)
• Improving error handling and input validation
• Enhancing documentation and usage examples

This project is licensed under the MIT License.

• Implement kagi_summarize tool for webpage and text summarization
• Implement kagi_fastgpt tool for quick responses
• Implement kagi_enrich tool for fetching enriched news results
• Improve error handling and add more robust input validation
• Add more comprehensive usage examples and documentation
• Publish the package to npm for easy installation and use with Claude Desktop and npx