FastAPI-MCP is a library that exposes FastAPI endpoints as Model Context Protocol (MCP) tools, with built-in authentication, supporting flexible deployment and ASGI transmission.

The MCP Proxy Server is a tool that aggregates multiple MCP resource servers and provides services through a single HTTP interface. It supports real-time updates and flexible configuration.

Model Context Protocol (MCP) .NET sample library, demonstrating how to use the MCP protocol to standardize the context interaction of large language models (LLMs) in .NET applications. It includes examples such as a YouTube subtitle extractor, supports flexible switching of LLM providers, and enables the construction of AI workflows.

The PDF Reader MCP service provides AI agents with a secure and flexible function to extract content from PDF files, including text, metadata, and page count information. It supports local and remote PDF files and is easy to integrate into the MCP environment.

DiffuGen is an advanced local image generation tool that integrates the MCP protocol, supports multiple AI models (including the Flux and Stable Diffusion series), and can directly generate high-quality images in the development environment. It provides flexible configuration options, multi-GPU support, and can be integrated with multiple IDEs through the MCP protocol. It also provides an OpenAPI interface for external calls.

MCP-Mealprep is a Docker-based MCP server collection project that provides various AI tools and services through containerized deployment, supporting secure updates and flexible expansion.

A Google job search MCP server based on SerpAPI, providing multi - language support, flexible search parameters, and intelligent error handling.

OtterBridge is a lightweight MCP server used to connect applications with multiple large language model providers, supporting models such as Ollama, with a simple and flexible design.

MCP Video Digest is a video content processing service that supports extracting audio from multiple platforms and converting it into text, offering multiple transcription service options, with flexible configuration and high - efficiency processing capabilities.

A flexible resource management system that supports managing multiple types of resources (papers, web pages, books, etc.) and integrating with knowledge graphs, providing functions such as unified identification, structured notes, and status tracking.

The TypeScript version of MCP Agent is a TypeScript-based intelligent context-aware agent framework that provides features such as a modular architecture, advanced workflow management, a powerful logging system, and a flexible executor. It is a TypeScript port of the original MCP Agent.

The MCP Server Dashboard is a unified management platform that simplifies the management and scaling of multiple MCP servers through flexible streaming HTTP endpoints. It supports on-demand access to all servers, a single server, or a logically grouped set of servers, and provides a centralized web management interface.

SourceSage is an MCP server that visualizes project directory structures into beautiful Markdown, supporting automatic file content documentation and flexible exclusion patterns.

This is an MCP server that provides access to the data of the State Statistics Service of Ukraine. Through the SDMX API v3 interface, it supports AI models to query official Ukrainian statistical data in multiple fields such as energy, population, and trade, providing bilingual support and flexible data filtering functions.

Mcpixir is an open - source Elixir library for connecting any LLM to the MCP server and building custom agents with tool access permissions. It supports multiple LLM providers and MCP servers, providing flexible tool invocation and server management functions.

This project expands the video speech recognition function. It originally only supported the local Whisper model, and now it newly supports the online speech recognition services of CapCut and Bcut, providing a flexible multi - service selection architecture.

The LangChain MCP client is a project that demonstrates how to use MCP server tools through the LangChain ReAct agent. It supports flexible selection of LLM models and enables dynamic interaction via the CLI.

ImageGen MCP Server is an MCP server that supports multiple AI image generation models (including GPT-Image-1, Google Imagen 4, Flux 1.1, etc.), providing flexible image generation, size adjustment, and output format options, and can be seamlessly integrated into various MCP clients.

An MCP server (Model Context Protocol) implemented in Rust, providing core service functions and flexible middleware support.

Flexible GraphRAG is a flexible platform that supports multi - data source document processing, automatic knowledge graph construction, hybrid search (full - text, vector, graph), and AI Q&A. It includes a FastAPI backend, an MCP server, and various front - end interfaces.

A Google job search MCP server based on SerpAPI, providing multi-language support, flexible search parameters, and smart error handling.

MCP AI Hub is a server based on the Model Context Protocol, providing access to over 100 AI models (including those from OpenAI, Anthropic, Google, etc.) through the LiteLM unified interface, supporting multiple transmission protocols and flexible configuration.

The MCP Web Browser Server is an advanced headless browser service based on Playwright, providing web browsing, content extraction, and interaction functions through a flexible API.

A flexible MCP server based on Probe for making documents or codebases searchable by AI assistants.

This project demonstrates how to use the Model Context Protocol (MCP) to integrate local and remote tools in the AutoGen framework, including a local mathematical calculation server and a remote Apify web browsing tool. It enables flexible interaction between AI agents and tools through a standardized protocol.

MCP GraphQL is a GraphQL API service that provides a flexible and efficient data query and operation interface for the mission control platform

MCP Server is an AI-driven command execution and tool management framework that provides flexible configuration and support for multiple tool types.

The AIStor MCP server is a service based on the Model Context Protocol (MCP) for interacting with AIStor object storage. It supports various operations, including reading, writing, deleting, and management functions, such as listing buckets and objects, getting metadata, creating presigned URLs, and using AI to describe object content. It has flexible configuration and can enable operations at different permission levels through flags.

A MySQL database connection service based on go-mcp, supporting communication with clients through the MCP protocol, providing SQL query and data manipulation functions, and supporting permission control and flexible configuration.

This is an MCP server for generating PDF documents. It supports creating PDFs from text and layouts, and rendering PDF pages as images. It is especially suitable for resume generation and flexible typesetting.

Rierino provides a multi - functional service based on the MCP protocol, supporting flexible configuration and distributed execution.

MCP Appium is a service that integrates Appium into the Model Context Protocol, allowing AI agents to automatically control and test mobile devices, supporting automatic server startup, device detection, and flexible testing.

The 302AI Custom MCP Server is a customizable multi - functional tool platform that supports flexible configuration of different API tools, is compatible with multiple clients, and provides a one - stop AI service solution.

Teamwork MCP is a server that connects to the Teamwork API, providing a simplified interface to manage functions such as projects, tasks, people, and reports in Teamwork. It supports integration with applications such as Cursor through the MCP protocol, and includes a rich set of tools and flexible permission control.

A dynamic MCP server management service capable of creating, running, and managing MCP servers as subprocesses to build a flexible MCP ecosystem.

A professional video editing tool based on the AI MCP protocol, providing core functions such as precise editing, intelligent merging, and flexible splitting. It supports multiple formats and batch processing, eliminating the need for manual FFmpeg installation.

The GitHub Repository Management MCP Server is built on Node.js and enables automated management through a GitHub Personal Access Token. It provides 89 tools to directly integrate with the GitHub API, supporting functions such as repository management, issue tracking, and collaboration management. It does not require Docker and has flexible configuration.

AI Tutor is an AI tutoring system for higher education based on MCP client/server and multi-agent collaboration. It supports Claude and OpenAI models and provides a flexible server configuration method.

The MCP Scheduler is a task scheduling server based on the Model Context Protocol, supporting the scheduled execution and management of multiple task types (Shell commands, API calls, AI tasks, reminder notifications). It provides complete execution history records and flexible cron expression scheduling functions.

A powerful MCP server project driven by Fusion AI, providing an efficient and flexible server solution.