Kagi Search
About
Integrates Kagi search API to provide web search, news retrieval, and fast GPT-powered question answering for up-to-date information access and content enrichment.
Details
- Author
- apridachin
- Repository
- apridachin/kagi-search-mcp
- GitHub stars
- 2
- License
- MIT License
- Categories
- Search, Other, API, AI, Design, Developer Tools, Infrastructure, Frontend
- Tags
- #web
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Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Kagi SearchCommand (node, npx, python, etc.)uvArguments-
Argument 1
--directory -
Argument 2
path_to_project -
Argument 3
run -
Argument 4
kagi-mcp
Environment-
KAGI_API_KEY
YOUR API KEY
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
Argument 1
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
To install the Kagi MCP server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install kagi-mcp --client claude
ask_fastgpt
Search the web and find an answer using the FastGPT method.
enrich_web
Enrich model context with web content.
enrich_news
Enrich model context with the latest news.
The server implements several tools:
- ask_fastgpt to search web and find an answer
- enrich_web to enrich model context with web content
- enrich_news to enrich model context with latest news
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"kagi search": {
"env": {
"KAGI_API_KEY": "YOUR API KEY"
},
"args": [
"--directory",
"path_to_project",
"run",
"kagi-mcp"
],
"command": "uv"
}
}
}Linux
{
"env": {
"KAGI_API_KEY": "YOUR API KEY"
},
"args": [
"--directory",
"path_to_project",
"run",
"kagi-mcp"
],
"command": "uv"
}Macos
{
"env": {
"KAGI_API_KEY": "YOUR API KEY"
},
"args": [
"--directory",
"path_to_project",
"run",
"kagi-mcp"
],
"command": "uv"
}Windows
{
"env": {
"KAGI_API_KEY": "YOUR API KEY"
},
"args": [
"--directory",
"path_to_project",
"run",
"kagi-mcp"
],
"command": "uv"
}The server implements calls ofAPI methods:
The server provides doesn't provide any prompts:
- ask_fastgpt to search web and find an answer
- enrich_web to enrich model context with web content
- enrich_news to enrich model context with latest news
To install the Kagi MCP server for Claude Desktop automatically viaSmithery:
npx -y @smithery/cli install kagi-mcp --client claude
On MacOS:~/Library/Application\ Support/Claude/claude_desktop_config.json
To prepare the package for distribution:
This will create source and wheel distributions in thedist/directory.
Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token:--tokenorUV_PUBLISH_TOKEN
- Or username/password:--username/UV_PUBLISH_USERNAMEand--password/UV_PUBLISH_PASSWORD
npx @modelcontextprotocol/inspector uv --directory path_to_project run kagi-mcp
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