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kagi-server MCP Server

kagi-server MCP Server

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modelcontextprotocol.ioSearch44Updated 98w ago

About kagi-server MCP Server

kagi-server is a TypeScript MCP server that integrates the Kagi Search API. It is aimed at users who want AI applications to run Kagi web searches, and the API is currently in private beta.

Key features

  1. 01kagi_search tool for web searches
  2. 02Accepts a query string and optional result limit
  3. 03API key configured through a .env file
  4. 04MCP Inspector support for debugging

Use cases

  1. 01Letting Claude Desktop query Kagi for recent information
  2. 02Giving an agent a web search tool backed by Kagi

MCP support

This project is an MCP server that exposes the kagi_search tool to MCP clients. The planned tools (summarize, fastgpt, enrich) are not yet implemented.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"servers-kagi": {
"command": "npx",
"args": [
"-y",
"@smithery/cli"
]
}
}
}
Run commandnpx -y @smithery/cli

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@smithery/cli

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

kagi-server MCP Server

smithery badge 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)

Features

Implemented Tools
  • kagi_search - Perform web searches using Kagi
    • Takes a query string and optional limit as parameters
    • Returns search results from Kagi's API
Planned Tools (Not Yet Implemented)
  • 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

Development

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

Environment Setup

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.

Installation

Installing via Smithery

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"
      }
    }
  }
}
Debugging

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.

Usage

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.

Contributing

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

License

This project is licensed under the MIT License.

Roadmap

  • 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

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