kagi-server MCP Server

Name: kagi-server MCP Server
Author: ac3xx

@ac3xx

代码仓库主页

关于 kagi-server MCP Server

A Model Context Protocol server implementation for Kagi's API

#kagi #model-context-protocol

基本信息

分类

搜索

许可证

MIT

运行时

node

传输方式

stdio

发布者

ac3xx

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

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概览

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.