Kagi Search
official
search
Search the web using Kagi's search API
Kagi MCP server
<a href="https://glama.ai/mcp/servers/xabrrs4bka"> <img width="380" height="200" src="https://glama.ai/mcp/servers/xabrrs4bka/badge" alt="Kagi Server MCP server" /> </a>Setup Intructions
Before anything, unless you are just using non-search tools, ensure you have access to the search API. It is currently in closed beta and available upon request. Please reach out to support@kagi.com for an invite.
Install uv first.
MacOS/Linux:
curl -LsSf https://astral.sh/uv/install.sh | sh
Windows:
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
Installing via Smithery
Alternatively, you can install Kagi for Claude Desktop via Smithery:
npx -y @smithery/cli install kagimcp --client claude
Setup with Claude Desktop
// claude_desktop_config.json // Can find location through: // Hamburger Menu -> File -> Settings -> Developer -> Edit Config { "mcpServers": { "kagi": { "command": "uvx", "args": ["kagimcp"], "env": { "KAGI_API_KEY": "YOUR_API_KEY_HERE" "KAGI_SUMMARIZER_ENGINE": "YOUR_ENGINE_CHOICE_HERE" // Defaults to "cecil" engine if env var not present } } } }
Pose query that requires use of a tool
e.g. "Who was time's 2024 person of the year?" for search, or "summarize this video: https://www.youtube.com/watch?v=jNQXAC9IVRw" for summarizer.
Debugging
Run:
npx @modelcontextprotocol/inspector uvx kagimcp
Local/Dev Setup Instructions
Clone repo
git clone https://github.com/kagisearch/kagimcp.git
Install dependencies
Install uv first.
MacOS/Linux:
curl -LsSf https://astral.sh/uv/install.sh | sh
Windows:
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
Then install MCP server dependencies:
cd kagimcp # Create virtual environment and activate it uv venv source .venv/bin/activate # MacOS/Linux # OR .venv/Scripts/activate # Windows # Install dependencies uv sync
Setup with Claude Desktop
Using MCP CLI SDK
# `pip install mcp[cli]` if you haven't mcp install /ABSOLUTE/PATH/TO/PARENT/FOLDER/kagimcp/src/kagimcp/server.py -v "KAGI_API_KEY=API_KEY_HERE"
Manually
# claude_desktop_config.json # Can find location through: # Hamburger Menu -> File -> Settings -> Developer -> Edit Config { "mcpServers": { "kagi": { "command": "uv", "args": [ "--directory", "/ABSOLUTE/PATH/TO/PARENT/FOLDER/kagimcp", "run", "kagimcp" ], "env": { "KAGI_API_KEY": "YOUR_API_KEY_HERE" "KAGI_SUMMARIZER_ENGINE": "YOUR_ENGINE_CHOICE_HERE" // Defaults to "cecil" engine if env var not present } } } }
Pose query that requires use of a tool
e.g. "Who was time's 2024 person of the year?" for search, or "summarize this video: https://www.youtube.com/watch?v=jNQXAC9IVRw" for summarizer.
Debugging
Run:
# If mcp cli installed (`pip install mcp[cli]`) mcp dev /ABSOLUTE/PATH/TO/PARENT/FOLDER/kagimcp/src/kagimcp/server.py # If not npx @modelcontextprotocol/inspector \ uv \ --directory /ABSOLUTE/PATH/TO/PARENT/FOLDER/kagimcp \ run \ kagimcp
Then access MCP Inspector at
http://localhost:5173
. You may need to add your Kagi API key in the environment variables in the inspector under KAGI_API_KEY
.Advanced Configuration
- Level of logging is adjustable through the
environment variable (e.g.FASTMCP_LOG_LEVEL
)FASTMCP_LOG_LEVEL="ERROR"
- Relevant issue: https://github.com/kagisearch/kagimcp/issues/4
- Summarizer engine can be customized using the
environment variable (e.g.KAGI_SUMMARIZER_ENGINE
)KAGI_SUMMARIZER_ENGINE="daphne"
- Learn about the different summarization engines here
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