MCP Kagi Search
@kamou
About MCP Kagi Search
Kagi search MCP server
Basic information
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_searchtool 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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