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MCP Kagi Search

@kamou

Repository

Basic information

Category

Search

Transports

stdio

Author

kamou

About MCP Kagi Search

Kagi search MCP server

#mcp-kagi-search#search#kagi

MCP Kagi Search config

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

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

MCP Kagi Search tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

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.

Frequently asked questions

1

What environment variable is required?

Set `KAGI_API_TOKEN` to your Kagi API token.

2

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`.

3

How do I test the tool?

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

4

How do I install the CLI?

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

5

What tool does this server provide?

It provides a single tool named `kagi_search`.

Comments

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