kagi-server MCP Server
A Model Context Protocol server implementation for Kagi's API
What is kagi-server MCP Server?
What is Kagi Server? Kagi Server is a Model Context Protocol server implementation that integrates Kagi's Search API, enabling users to perform web searches and other operations seamlessly. How to use Kagi Server? To use Kagi Server, install dependencies, build the server, and configure the environment with your Kagi API key. Once running, connect it to Claude Desktop to perform searches. Key features of Kagi Server? Implements the kagi_search tool for web searches via Kagi. Future tools planned include kagi_summarize, kagi_fastgpt, and kagi_enrich for enhanced functionalities. Use cases of Kagi Server? Performing web searches on demand through Claude. Analyzing and summarizing search results for better understanding. Potentially summarizing web pages and enriching news results in future updates. FAQ from Kagi Server? What programming language is Kagi Server built in? Kagi Server is developed using TypeScript. How can I contribute to the Kagi Server project? Contributions are welcome, especially for implementing planned tools and improving documentation. What are the planned features for future updates? Planned features include summarizing tools, quick response capabilities, and enriched news result fetching.
As an MCP (Model Context Protocol) server, kagi-server MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use kagi-server MCP Server
To use Kagi Server, install dependencies, build the server, and configure the environment with your Kagi API key. Once running, connect it to Claude Desktop to perform searches. Key features of Kagi Server? Implements the kagi_search tool for web searches via Kagi. Future tools planned include kagi_summarize, kagi_fastgpt, and kagi_enrich for enhanced functionalities. Use cases of Kagi Server? Performing web searches on demand through Claude. Analyzing and summarizing search results for better understanding. Potentially summarizing web pages and enriching news results in future updates. FAQ from Kagi Server? What programming language is Kagi Server built in? Kagi Server is developed using TypeScript. How can I contribute to the Kagi Server project? Contributions are welcome, especially for implementing planned tools and improving documentation. What are the planned features for future updates? Planned features include summarizing tools, quick response capabilities, and enriched news result fetching.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like kagi-server MCP Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like kagi-server MCP Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.