MCP Kagi Search

@kamou

About MCP Kagi Search

Kagi search MCP server

Config

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

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

Tools

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Overview

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.

Frequently asked questions

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`.

Comments

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