MCP Kagi Search

@kamou

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kamou

关于 MCP Kagi Search

Kagi search MCP server

#mcp-kagi-search#search #kagi

MCP Kagi Search 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"
      ]
    }
  }
}

MCP Kagi Search 工具

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当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

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.

常见问题

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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