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MCP Kagi Search
An MCP service project based on the Kagi search API, providing development mode operation and command-line tool testing functionality.
rating : 2 points
downloads : 12
What is MCP Kagi Search?
MCP Kagi Search is a search service based on the Model Context Protocol that allows users to perform information queries using the Kagi search engine through simple commands or API calls.How to use MCP Kagi Search?
You can use this service through the command-line tool or the MCP Inspector web interface. Simply provide a search query to get results.Use cases
Suitable for scenarios where quick access to accurate information is needed, such as research, development, or daily queries.Main features
Integrated searchDirectly integrates the Kagi search engine to provide high-quality search results
Multi-platform accessSupports use via both the command line and web interface
Simple configurationJust set the API token to start using
Advantages and limitations
Advantages
Quick setup and use
Provides high-quality search results
Supports multiple usage methods
Limitations
Requires a valid Kagi API token
Depends on network connection
How to use
Install dependencies
First, you need to install the necessary Python dependencies
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Set the API token
Set your Kagi API token to enable the search function
Start the server
Start the MCP server in development mode
Use the search function
Perform a search through the MCP Inspector or the command-line tool
Usage examples
Person information queryFind background information on well-known figures
Technology trend researchUnderstand the latest technology development trends
Frequently Asked Questions
How to get a Kagi API token?
What if the service fails to start?
Does it support batch search?
Related resources
Kagi official website
The official website of the Kagi search engine
MCP documentation
The official documentation of the Model Context Protocol
GitHub repository
The project source code repository
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