MCP Kagi Search

Name: MCP Kagi Search
Author: kamou

@kamou

代码仓库

关于 MCP Kagi Search

Kagi search MCP server

#mcp-kagi-search #search #kagi

基本信息

分类

搜索

运行时

nix

传输方式

stdio

发布者

kamou

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-kagi-search-kamou": {
      "command": "uv",
      "args": [
        "sync"
      ]
    }
  }
}

工具

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概览

What is MCP Kagi Search?

MCP Kagi Search is an MCP server that provides the kagi_search tool, allowing AI assistants to perform web searches via the Kagi search engine. It is intended for developers who want to integrate Kagi search capabilities into MCP-compatible applications.

How to use MCP Kagi Search?

Install dependencies with uv sync, set the KAGI_API_TOKEN environment variable, run the server in development mode using mcp dev src/mcp_kagi_search/server.py, then test via the MCP Inspector at http://localhost:5173 using the kagi_search tool. Alternatively, install the CLI with uv pip install . and use the mcp-kagi-search command.

Key features of MCP Kagi Search

Provides a single kagi_search tool for web searches.
Designed for MCP-compatible AI assistants.
Supports development mode with MCP Inspector.
Includes a command-line interface (mcp-kagi-search).
Requires a Kagi API token for authentication.

Use cases of MCP Kagi Search

Integrate Kagi web search into AI chatbot conversations.
Perform real-time research queries via an AI assistant.
Build custom MCP workflows that include web search.
Replace default search with Kagi in MCP applications.

FAQ from MCP Kagi Search

What environment variable is required?

Set KAGI_API_TOKEN to your Kagi API token.

How do I run the server for development?

Run mcp dev src/mcp_kagi_search/server.py and open the MCP Inspector at http://localhost:5173.

How do I test the tool?

In the MCP Inspector, run the kagi_search tool with a query (e.g., "steve jobs").

How do I install the CLI?

Install with uv pip install ., then verify with mcp-kagi-search --help.

What tool does this server provide?

It provides a single tool named kagi_search.

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