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.

A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities

Blender MCP VXAI is a powerful integration tool that allows users to control Blender through natural language to create and modify 3D models, animations, and scenes. It simplifies complex operations and supports real-time export to projects.

PageIndex MCP is an inference-based vectorless RAG system. Through the MCP protocol, it exposes the tree-like index of documents to LLMs, enabling platforms such as Claude to retrieve information from PDF documents through structural reasoning like human experts, without the need for a vector database.

Skillz is an MCP server that can convert Claude-style skills into callable tools for any MCP client to use. It discovers skills in the skill directory, exposes skill descriptions and resources, and can run bundled auxiliary scripts.

A NestJS module for easily exposing AI tools, resources, and prompts via the Model Context Protocol (MCP), supporting multiple transport types and automatic discovery and registration functions.

The CyberEdu MCP Server is the official Model Context Protocol server of the CyberEdu CTF platform. It enables seamless interaction with the cybersecurity training platform by dynamically discovering all public methods of the CyberEduClient and automatically exposing them as MCP tools.

MCP Solver is a server that exposes SAT, SMT, and constraint - solving capabilities to large language models through the Model Context Protocol (MCP).

Axone's MCP server is a lightweight implementation that exposes Axone's capabilities through the standardized Model Context Protocol (MCP), serving as a gateway for AI tools to access the data universe.

The CodeSandbox MCP server exposes CodeSandbox SDK operations through tools for AI agents to perform operations such as sandbox creation and file read and write.

A tool that exposes a secure local Python executor through the MCP protocol, providing code interpreter functionality for LLM applications

A project that exposes AutoHotkey functionality through an MCP server, enabling model interfaces to control Windows automation tasks.

MCP Gateway is a server aggregation tool that connects multiple Model Context Protocol (MCP) servers to a unified gateway. It exposes the tools of all connected servers through search, description, and invocation interfaces, effectively solving the problems of context overflow and cognitive overload caused by too many tool descriptions when connecting to multiple MCP servers.

The LDAP MCP server is a tool that exposes LDAP directory services through the Model Context Protocol (MCP), allowing clients to perform directory searches and create, read, update, and delete operations, and supporting secure connections and read-only mode.

A Python template project for quickly building a Model Context Protocol (MCP) server, which provides registration and exposure functions for tools and tips and supports multiple deployment methods.

A PHP-based tool for quickly building MCP servers, supporting the creation of tools, exposure of resources, and definition of prompts, simplifying LLM context management.

This project is a Mongo MCP server built on Spring Boot AI, used to connect to local MongoDB instances and expose database operations through callable tools, and supports testing through MCP clients.

A backend system for managing Kubernetes resources, retrieving and analyzing logs, and formatting and exporting logs through the MCP protocol.

The React Native MCP server is a platform that provides comprehensive development tools, aiming to optimize the React Native development experience. It includes functions such as project initialization, version management, automated upgrades, and Expo integration. It simplifies the development process through AI assistance.

mcp - openapi - proxy is a Python package that implements a Model Context Protocol (MCP) server to dynamically expose REST APIs conforming to the OpenAPI specification as MCP tools, facilitating integration into MCP workflows.

FridaC2MCP is a proof - of - concept project that exposes the capabilities of the Frida dynamic instrumentation tool as a remote MCP server through HTTP streaming, aiming to achieve remote and automated mobile application security testing. The project is designed to run on a rooted Android device, allowing clients to analyze and manipulate running applications over the network.

Figma MCP Bridge is a real-time two-way communication MCP server that bridges the Figma plugin through WebSocket, enabling Claude to read and operate on Figma documents. It supports 62 types of Figma operations, including creating shapes, modifying styles, managing components, and exporting resources.

The MCP server implementation of Foxit PDF API, providing Python and TypeScript versions, exposes more than 35 operations (such as creation, conversion, editing, security, OCR, etc.) of Foxit PDF services as tools available to AI agents.

A plugin that exposes Dify workflows as an MCP server to AI clients

An MCP server for interacting with the running PicGo application to upload images, exposing PicGo's image upload function as an MCP tool.

An MCP server that exposes Readwise Reader documents as resources

TG_MCP is a lightweight Python interface that exposes TigerGraph operations (queries, schemas, vertices, edges, UDFs, etc.) as structured tools and URI - based resources for MCP agents to use.

This is an MCP server for accessing Federal Universe Enhancement Proposal (FEP) documents. By cloning the FEP code repository and exposing tools and resources, it enables AI assistants to read and search FEP documents, solving the access restriction problem caused by Codeberg's anti - AI protection.

KOI-MCP is a bridge framework that integrates the Knowledge Organization Infrastructure (KOI) with the Model Context Protocol (MCP), enabling autonomous agents to exchange rich personality traits and expose capabilities as standardized tools.

The Figma to Flutter MCP server helps AI programming assistants access Figma design data, generate Flutter code, export resources, and set up theme styles.

A lightweight server that exposes Mac system information through simple APIs to help AI assistants obtain real-time hardware and system data, mainly used for AI and deep learning experiments by Mac users.

MCP-DBLP is a service based on the Model Context Protocol (MCP) that provides large language models with the ability to access the DBLP computer science literature database, including functions such as search, citation processing, and BibTeX export.

The API-MARKET MCP Server is a model context protocol server that exposes over 200 API endpoints from API-Market as MCP resources, enabling large language models to discover and interact with them through the MCP protocol.

OneTool is a unified MCP server that exposes over 100 tools through the Python API, significantly reducing token consumption and cost when AI calls tools, avoiding context pollution, and supporting multiple functions such as web search, database, file operations, and chart drawing.

The Observium MCP server is a tool that exposes Observium network monitoring data to LLMs through the model context protocol, supporting natural language queries for device status, network traffic, sensor data, and historical trends.

This project is a Python adapter that exposes the tools of MCPO (MCP-to-OpenAPI proxy server) as Ollama-compatible functions, supporting connection to existing MCPO instances or starting a local service.

The MCP Command Proxy Server is used to proxy and monitor CLI command execution, especially suitable for Expo development

An experimental Miro MCP server that exposes Miro API endpoints as tools available to AI agents via the FastMCP protocol, supporting operations on multiple Miro board item types.

A production-ready Model Context Protocol server that provides an asynchronous-first Python architecture and exposes advanced ArangoDB operations (including graph database management, content conversion, backup and restore, and analysis functions) to AI assistants.

A VS Code extension prototype that exposes an MCP server via HTTP, enabling AI assistants to perform IDE-driven code refactoring operations.