kagisearch/kagimcp

Overview

A Python-based Model Context Protocol (MCP) server that enables large language models to perform Kagi Search queries and access other Kagi tools via a standardized interface. It allows AI agents to retrieve web results, summaries, and related data directly through the MCP protocol.

Best for

Best for
Developers building AI agents that need direct, structured access to Kagi's web search and tools

Use cases

• Integrating real-time web search into an AI assistant or chatbot
• Providing an LLM with up-to-date factual information from Kagi's search index
• Building a tool‑calling agent that can search the web and return structured results

Notes

A Python-based Model Context Protocol (MCP) server that enables large language models to perform Kagi Search queries and access other Kagi tools via a standardized interface. It allows AI agents to retrieve web results, summaries, and related data directly through the MCP protocol.

403 stars on GitHub. Last updated 2026-05-27. Licensed MIT.

Use cases

• Integrating real-time web search into an AI assistant or chatbot
• Providing an LLM with up-to-date factual information from Kagi’s search index
• Building a tool‑calling agent that can search the web and return structured results

Pros

• Official Kagi support ensures reliable API integration and maintenance
• Pure Python implementation makes deployment and customization straightforward
• Leverages the standard MCP protocol for broad compatibility with existing AI frameworks

Cons

• Requires a Kagi subscription to access the search API
• Limited to Kagi’s search ecosystem only, not a general web search provider
• Depends on the MCP protocol, which may not be supported by every LLM or agent library

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.