Kagi MCP Server

TypeScript-based MCP server integrating with the Kagi Search API

MCP Server: MCP-Servers-Kagi GitHub Repository

This GitHub repository is maintained by ac3xx and focuses on a TypeScript-based Model Context Protocol (MCP) server that integrates seamlessly with the Kagi Search API. It is a resourceful platform that highlights fundamental MCP concepts, demonstrating them through various tools designed to enhance web search functionalities.

Features

• TypeScript MCP Server: This server is developed using TypeScript, ensuring strong typing and ease of maintainability.
• Kagi API Integration: Offers direct interfacing with the Kagi Search API, a key feature for executing efficient and accurate web searches.
• Tool Collection: Includes tools like kagi_search for conducting web searches via Kagi. In-progress tools include:
  • kagi_summarize: Aims to provide quick summaries of search results.
  • kagi_fastgpt: Anticipated to enhance response generation, leveraging GPT models.
  • kagi_enrich: Expected to enrich data with additional insights and context.
• Built-in MCP Inspector: Facilitates straightforward debugging to streamline development and deployment.
• Open Source Contribution: Actively encourages contributions from the community to expand the toolset, improve error handling, and enhance documentation.
• MIT License: The project is open-source, available under the MIT License which encourages widespread use and adaptation.

Use Cases

• Enhanced Search Capabilities: The integration with Kagi's API allows for sophisticated search capabilities, ideal for users needing to perform detailed and complex web queries.
• Precise Summarization: With tools like kagi_summarize, users can receive succinct summaries, making it useful for quick information retrieval and decision-making processes.
• Advanced Natural Language Processing: Anticipated tools like kagi_fastgpt will allow users to access advanced GPT models for improved natural language understanding and generation.
• Innovative Data Enrichment: kagi_enrich is set to provide users the ability to derive more significant insights from search data, enhancing research and analysis work.
• Collaborative Development Environment: The repository supports collaboration across the developer community, fostering innovation and continuous improvement through shared knowledge and expertise.

This comprehensive set of features and upcoming tools positions the MCP Servers Kagi repository as an important asset for developers and researchers looking to integrate advanced search and data processing features into their applications.