# API integration

Model Context Protocol server implementation based on the GitHub API

An MCP server based on the Bocha Search API for online search services.

An MCP server based on the Bocha Search API for Internet search functionality, which requires the configuration of the service key of Bocha AI to use.

This project tests the capabilities of LLM in information retrieval, API integration (such as IGN's APICARTO and GéoPlateforme services), and code generation through ChatGPT, including functions such as geocoding and postal code query, and explores the application of AI in technical evaluation and development assistance.

Integrate Adfin financial service tools through Claude Desktop to achieve automated financial operations

An MCP protocol server based on the Google Custom Search API, providing standardized web search capabilities for language models.

This project implements an MCP server for interacting with Adobe Commerce, supporting interaction with Adobe Commerce via the GraphQL API and providing schema query and operation writing functions.

This project is an MCP server that connects to the OpenAI DALL - E API, designed specifically for AI assistants such as Roo Code, providing comprehensive image generation functions and control options.

A model control protocol server that supports parallel queries from multiple LLM providers. It can simultaneously call the APIs of OpenAI, Anthropic, Perplexity, and Google for cross-verification, providing a unified interface and supporting asynchronous processing.

The Upcloud MCP Server is a service based on the Model Context Protocol, used for seamless integration with the Upcloud API, providing automation functions and interaction capabilities for developers. It is still in development and not ready for formal use.

The Valyu MCP Server is an AI model context protocol tool that can obtain high-quality context data through the Valyu API, supporting Wikipedia, arXiv papers, and web searches.

The Vapi MCP server project provides integration with the Vapi API through the Model Context Protocol, supporting functions such as voice assistant management and telephone call scheduling, and is compatible with the Claude Desktop client and remote SSE connections.

This project provides a set of tools and services to integrate Power Platform CLI, Graph API, and Azure REST API through the Model Context Protocol (MCP), support interaction with AI models, and simplify the development process.

A FastMCP server implementation based on the Replicate API, focusing on providing resource-based access to AI model inference, especially good at image generation functions.

An MCP server integrated with Dropbox, providing functions such as file management, search, and account operations through the Dropbox public API

A Docker-based MCP server for automatically creating PowerPoint presentations

Zotero MCP Server is a server prototype based on the Pyzotero API that allows users to search for all notes in the Zotero library through queries and obtain the complete content of specific items. The project provides search and retrieval functions and supports integration with the 5ire MCP client.

The Beehiiv MCP Server is a service based on the Model Context Protocol, providing tools for interacting with the Beehiiv API v2, enabling large language models to manage Beehiiv publications and articles through standardized tools.

A simple MCP server project based on FastMCP, aiming to integrate VuFind's Swagger API into LLMs (such as Sonet), enabling LLMs to search for literature through VuFind.

An MCP server tool that provides YouTube video search and automatically saves the results to Google Sheets

An MCP server integrating the Medium API, providing content publishing and user management functions, supporting multiple content formats and scheduled publishing.

Official MCP server implementation of Supavec, used to obtain relevant content from Supavec.

A dynamic Rollbar MCP server implementation for the interaction between LLMs and Rollbar error tracking data, supporting functions such as listing and filtering error items, getting detailed error information, viewing error occurrences, and accessing project and deployment details.

This project builds a web search tool through the Tavily API and the MCP protocol, which can provide real-time web search functionality for AI systems, supporting asynchronous processing and structured result return.

ALAPI MCP Server is an implementation of the MCP protocol server based on the ALAPI platform, providing over 100 commonly used API services and supporting easy integration into various AI applications through the MCP protocol.

This project achieves seamless integration between Claude Desktop and the API through the MCP server, providing advanced features such as system prompts and conversation management, supporting multiple Claude models, and allowing users to flexibly switch between the professional version and API usage.

The Zotero MCP Connector is a tool for integrating the local Zotero literature library with the Claude desktop version, enabling direct reading and access through the local Web API.

This project provides guides and materials for quickly building MCP servers using Cursor's AI capabilities, including detailed construction steps and example API documentation to help users easily create MCP servers.

This project implements the calendar content search function through the Google Calendar API and integrates it into Copilot Chat in VSCode as an MCP server, making it convenient for users to query and manage schedule events.

An MCP server based on the Google Custom Search API, providing a standardized web search interface for large language models