mcp-servers-kagi

📋 Overview:

This report summarizes the content of a GitHub webpage for the repository "ac3xx/mcp-servers-kagi." This repository hosts a Model Context Protocol (MCP) server implementation designed to integrate with Kagi's API, offering tools for web searches and demonstrating core MCP concepts. The server is built using TypeScript and aims to facilitate interactions with the Kagi Search API via the Model Context Protocol.

⭐ Key Points:
* The repository contains a TypeScript-based MCP server implementation.
* It is designed for integration with Kagi's Search API.
* The server uses the Model Context Protocol.
* Currently, the implemented tool is only kagi_search.
* Planned tools include: kagisummarize, kagifastgpt, kagi_enrich.
* The project is licensed under the MIT License.

* The project is available via Smithery.

🔍 Main Findings:
* The primary function of the repository is to provide an MCP server for Kagi API integration.
* The current implementation focuses on enabling web searches using the Kagi API via a tool named "kagi_search".
* Several tools are planned but not yet implemented, including tools for text summarization, fast GPT responses and enriched news results.

* The "README.md" file offers comprehensive information on the project's purpose, features, development setup, installation, usage, contributing guidelines, license, and roadmap.

📊 Details:
* Implemented Tools: The "kagi_search" tool takes a query string and optional limit as parameters and returns search results from Kagi's API.
* Planned Tools (Not Yet Implemented): The roadmap includes implementing "kagisummarize" for web page and text summarization, "kagifastgpt" for quick responses, and "kagi_enrich" for fetching enriched news results.
* Development Environment: The project uses npm for dependency management and build processes. It requires a ".env" file for the Kagi API key. Debugging is recommended via the MCP Inspector.
* Installation: The project can be installed automatically via Smithery, or manually by downloading and configuring the config file.
* Contributing: Contributions are encouraged, particularly in implementing planned tools, improving error handling, enhancing documentation, and adding usage examples.
* Statistics: The repository has 17 stars and 4 forks.

* Languages: The project uses TypeScript (80.2%) and JavaScript (19.8%).

🎯 Conclusion:
The "ac3xx/mcp-servers-kagi" repository provides a foundation for Kagi API integration using the Model Context Protocol. While the current implementation is limited to web search functionality, the project roadmap outlines plans for future expansion. Contributions are welcomed to enhance the project's functionality and usability.