kagi-server MCP Server

@ac3xx

About kagi-server MCP Server

A Model Context Protocol server implementation for Kagi's API

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-servers-kagi": {
      "command": "npx",
      "args": [
        "@smithery/cli",
        "install",
        "kagi-server",
        "--client",
        "claude"
      ]
    }
  }
}

Tools

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Overview

What is kagi-server?

A TypeScript-based MCP server that integrates the Kagi Search API, providing tools for web search operations. It is designed for use with AI assistants like Claude Desktop.

How to use kagi-server?

Install dependencies with npm install, build with npm run build, set the KAGI_API_KEY environment variable in a .env file, and add the server configuration to Claude Desktop's config file (e.g., claude_desktop_config.json). Alternatively, install via Smithery using npx @smithery/cli install kagi-server --client claude.

Features of kagi-server

kagi_search tool for web searches via Kagi API
Takes a query string and optional limit parameter
Built with TypeScript and the MCP SDK
Installable via Smithery or manual config
Debugging support via MCP Inspector

Use cases of kagi-server

Search the web for current information through Claude
Retrieve and analyze search results with an AI assistant

FAQ from kagi-server

What tools does kagi-server implement?

Only kagi_search is currently implemented. kagi_summarize, kagi_fastgpt, and kagi_enrich are planned but not yet available.

How do I get a Kagi API key?

Create a .env file in the project root with KAGI_API_KEY=your_api_key_here. The Kagi API is currently in private beta.

How do I debug the server?

Use the MCP Inspector by running npm run inspector, which provides a URL for debugging tools in a browser.

How do I install kagi-server for Claude Desktop?

Install via Smithery (npx @smithery/cli install kagi-server --client claude) or manually by adding the server config to claude_desktop_config.json with the path to build/index.js and the KAGI_API_KEY environment variable.

What transport does the server use?

The server communicates over stdio using the Model Context Protocol.

Frequently asked questions

What tools does kagi-server implement?

Only `kagi_search` is currently implemented. `kagi_summarize`, `kagi_fastgpt`, and `kagi_enrich` are planned but not yet available.

How do I get a Kagi API key?

Create a `.env` file in the project root with `KAGI_API_KEY=your_api_key_here`. The Kagi API is currently in private beta.

How do I debug the server?

Use the MCP Inspector by running `npm run inspector`, which provides a URL for debugging tools in a browser.

How do I install kagi-server for Claude Desktop?

Install via Smithery (`npx @smithery/cli install kagi-server --client claude`) or manually by adding the server config to `claude_desktop_config.json` with the path to `build/index.js` and the `KAGI_API_KEY` environment variable.

What transport does the server use?

The server communicates over stdio using the Model Context Protocol.

Comments

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