Kagi MCP Server
by mgomes
The Kagi MCP Server integrates with Kagi's search and summarizer APIs, allowing LLMs to search the web and summarize web pages using Kagi's capabilities. It provides a way for LLMs to access Kagi's high-quality search and AI features.
Last updated: N/A
What is Kagi MCP Server?
A Model Context Protocol (MCP) server that enables Large Language Models (LLMs) to utilize Kagi's search and summarization APIs for enhanced web interaction.
How to use Kagi MCP Server?
- Install the server using Go. 2. Configure the server with your Kagi API key. 3. Run the server in either stdio or SSE mode, depending on your LLM platform's requirements. 4. Configure your LLM platform to use the server as an MCP tool, providing the necessary command and environment variables.
Key features of Kagi MCP Server
Kagi Search
Kagi Summarizer
Multiple Transports (stdio and SSE)
API Key Management
Use cases of Kagi MCP Server
Enabling LLMs to search the web for information
Allowing LLMs to summarize web pages
Integrating Kagi's search and AI capabilities into LLM workflows
Providing LLMs with access to up-to-date information from the web
FAQ from Kagi MCP Server
What is the Kagi API key used for?
What is the Kagi API key used for?
The Kagi API key is required to authenticate with Kagi's search and summarization APIs.
What is the difference between stdio and SSE transport types?
What is the difference between stdio and SSE transport types?
Stdio is suitable for direct integration with LLM platforms that support subprocess communication, while SSE starts an HTTP server for communication using Server-Sent Events.
How do I integrate this server with Claude?
How do I integrate this server with Claude?
Start the server in stdio mode and configure Claude to use it as an MCP tool, providing the command and API key in the configuration.
What LLM platforms are compatible with this server?
What LLM platforms are compatible with this server?
This server is compatible with any LLM platform that supports the Model Context Protocol.
What summarization engines are available?
What summarization engines are available?
The available summarization engines are cecil, agnes, and muriel. Agnes is the default engine.