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Kagi MCP server

by ac3xx
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TypeScript
Remote

kagi-server MCP Server

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

Related MCP server: Kagi MCP Server

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

Available Tools

1 tool

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool updatev1.0.0
    • First observedkagi_search
Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

B3/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined as performing web searches using Kagi, leaving no room for misselection.

Naming Consistency5/5

A single tool inherently has perfect naming consistency, as there are no other tools to compare it against. The name 'kagi_search' follows a clear verb_noun pattern, but consistency cannot be assessed across a set of one.

Tool Count2/5

A single tool is too few for a server that appears to be focused on web search functionality, as it lacks complementary operations like summarization, filtering, or handling search results. This minimal scope feels incomplete for the domain.

Completeness2/5

The tool surface is severely incomplete for a web search domain, as it only provides raw search capability without tools for processing, refining, or managing search results. This creates significant gaps that will limit agent effectiveness.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

Related MCP Connectors

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