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This MCP server provides Kagi Search API integration, enabling web searches via the `kagi_search` tool within compatible clients.
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This MCP server provides Kagi Search API integration, enabling web searches via the kagi_search tool within compatible clients.
The server is relatively safe due to its read-only nature and limited functionality. Risks are primarily related to API key management and potential vulnerabilities in future tools. Ensure proper environment variable configuration and monitor for updates to address potential vulnerabilities.
Performance depends on the Kagi API's response times. Consider caching search results to improve performance and reduce API usage.
Cost is determined by Kagi API usage. Monitor API usage to avoid unexpected charges.
npm install
```{
"mcpServers": {
"kagi-server": {
"command": "/path/to/kagi-server/build/index.js",
"env": {
"KAGI_API_KEY": "your_api_key_here"
}
}
}
}KAGI_API_KEYkagi_searchPerforms a web search using the Kagi Search API and returns the results.
Read-only operation; retrieves search results without modifying data.
API Key
local
The server is relatively safe due to its read-only nature and limited functionality. Risks are primarily related to API key management and potential vulnerabilities in future tools. Ensure proper environment variable configuration and monitor for updates to address potential vulnerabilities.
The current implementation only supports read operations via the `kagi_search` tool, limiting the risk of unintended actions. Future tools may require more nuanced autonomy controls.
Production Tip
Implement rate limiting and error handling to prevent abuse and ensure stability in production.
You need to sign up for the Kagi Search API private beta program to obtain an API key.
Set the `KAGI_API_KEY` environment variable to your API key.
Currently, only the `kagi_search` tool is implemented for performing web searches.
Rate limits are likely imposed by the Kagi API. Refer to Kagi API documentation for details.
Use the MCP Inspector for debugging, as described in the README.
Yes, any MCP-compatible client should be able to use this server, but compatibility may vary.
Planned tools include `kagi_summarize`, `kagi_fastgpt`, and `kagi_enrich`.