A Model Context Protocol (MCP) server for Kagi search.
Kagi MCP server
Setup Intructions
Before anything, ensure you have access to the search API. It is currently in closed beta and available upon request. Please reach out to [email protected] 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"
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"
}
}
}
}
Installing via Smithery
Alternatively, you can install Kagi for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install kagimcp --client claude
Ask Claude a question requiring search
e.g. “Who was time’s 2024 person of the year?”
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"
}
}
}
}
Ask Claude a question requiring search
e.g. “Who was time’s 2024 person of the year?”
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
.
Notes
- Level of logging is adjustable through the
FASTMCP_LOG_LEVEL
environment variable (e.g.FASTMCP_LOG_LEVEL="ERROR"
)- Relevant issue: https://github.com/kagisearch/kagimcp/issues/4
Prerequisites
- •Familiarity with the server domain
- •Basic understanding of related technologies
- •Knowledge of Communication & Collaboration
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Details
Created
March 07, 2025
Last Updated
March 07, 2025
Category
Communication & CollaborationAuthor
kagisearch