The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.

Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.

Smithery CLI is a command-line tool for managing Model Context Protocol (MCP) servers, supporting multiple AI clients and providing functions for installing, uninstalling, viewing, and running MCP servers.

Pipelock is an open-source AI agent firewall that provides security protection with zero runtime dependencies through a single binary file. It adopts an architecture with separated capabilities and deploys a nine-layer scanning pipeline between the agent and the Internet to prevent secret leakage, prompt injection, and malicious tool calls. It supports multiple proxy modes (Fetch proxy, forward proxy, WebSocket proxy) and MCP proxy, and provides functions such as an emergency stop switch, audit logs, and SIEM integration.

This project provides an MCP server for deploying code to Google Cloud Run services, supporting deployment from various sources such as AI-assisted IDEs, AI assistant applications, and proxy SDKs.

MCP2Lambda is an MCP protocol server that runs AWS Lambda functions as tools for large language models (LLMs). AI models can call Lambda functions to access private resources and AWS services without code modification.

This project is an MCP server for deploying code to Google Cloud Run, supporting deployment through AI agents, IDEs, and assistant applications.

An IL2CPP reverse engineering tool based on the MCP protocol, which connects to Unity IL2CPP applications through Frida, enabling AI assistants to directly analyze and operate on game runtime data.

A voice recording and transcription MCP server based on the Whisper model, which can be used as an extension of Goose AI or run independently, supporting various recording scenarios and model configurations.

Nyantify is an intelligent notification middleware that enables AI assistants to politely notify users after completing long - running tasks. It monitors whether the user leaves the IDE, the task duration, and the project context, and only sends push notifications to the mobile phone when really needed, avoiding disturbing the user's focused work.

The GitHub Actions MCP Server is a service designed for AI assistants to manage and operate GitHub Actions workflows, providing complete process control, run analysis, and secure operation functions.

An EigenLayer MCP service based on Next.js that provides documentation support for AI assistants and can run locally or be deployed on Vercel

This is an experimental MCP server that allows AI agents to interact with running Flutter applications through the VM service and execute Maestro automated testing processes.

Yingdao RPA MCP Server is an implementation based on the Model Context Protocol (MCP), providing a service for Yingdao AI Power and other MCP Host tools to call RPA capabilities. It supports the local mode and the open API mode, and can query and run RPA applications, upload files, manage jobs, etc.

Sandbox MCP is a model context protocol server that allows LLMs to run code in secure Docker containers, solving the security problem of the inability to test code generated by AI.

A voice recording and transcription MCP server based on the Whisper model, which can be run as an extension of Goose AI or an independent service.

A multi - functional MCP server integrating RunwayML and Luma AI APIs, supporting video/image generation and processing tasks

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.

Unity-MCP is an open - source project that connects the Unity game engine with AI assistants. It implements AI - assisted development, automated testing, and runtime debugging functions through the Model Context Protocol.

An MCP server based on the CrewAI framework, providing AI agent and task management functions, supporting the creation of agents, tasks, and workflows, and running automatically.

The ros2-mcp-server is a Python-based server that integrates with ROS 2 through the Model Context Protocol (MCP), enabling AI assistants to control robot movement through ROS 2 topics. It supports time-controlled movement commands and runs as a ROS 2 node, publishing geometry_msgs/Twist messages to the /cmd_vel topic.

MCP Fortress is a comprehensive security tool designed for Model Context Protocol (MCP) servers, offering automated vulnerability scanning, runtime protection, risk scoring, and threat detection functions, and supporting integration with AI assistants such as Claude Code through the MCP server mode for security analysis.

An MCP server that runs natively on the Hubitat smart home hub, allowing AI assistants to control devices, create automation rules, and manage the system through natural language. It provides 69 tools and a built - in rule engine.

The database MCP server provides database query and AI - assisted functions through the Legion Query Runner and MCP protocol

The Miro MCP Server is a high-performance tool developed in Go language, providing 77 tools to control Miro whiteboards, supporting AI integration, chart generation, bulk operations, etc. It runs through a single binary file and is compatible with all major AI tools and platforms.

The TCL MCP Server is a server that supports AI agents to execute TCL scripts and manage the MCP tool ecosystem. It provides a secure sandbox and a developer-friendly experience, and supports multiple runtime environments.

The MCP Image Generator is an image generation service based on Together AI or Replicate, supporting access through an SSE endpoint or local running, and providing the function of generating images based on text prompts.

This is an MCP server tool for interacting with the X platform through MCP clients (such as Claude, Cursor AI, etc.). It requires a Node.js environment and an X developer API key to run.

Neo N3 Model Context Protocol (MCP) is a standardized interface protocol for the interaction between AI agents and applications and the Neo N3 blockchain. It provides an easy - to - use server implementation, supports direct running via npx, and does not require manual environment configuration. The protocol includes functions such as blockchain information query, wallet management, asset transfer, and smart contract interaction, and additionally provides an HTTP server to expose functions in the form of RESTful APIs.

Locust-MCP-Server is a server implementation based on the Model Context Protocol (MCP), used to run Locust load tests and supports seamless integration with AI development environments.

The Agentic MCP Client is an independent AI agent runner that interacts with models such as Claude, BedRock, and OpenAI through MCP protocol tools, supporting autonomous cloud operation and secure system interaction.

A skill management system based on the MCP protocol, allowing AI assistants such as Claude to create, edit, run, and manage skill scripts stored in the local directory, supporting Python code execution, environment variable management, and multi - skill combined use.

PHPocalypse-MCP is an MCP server designed for PHP developers, aiming to simplify the process of running tests and static analysis and support customizing tool commands through the configuration file.

An MCP server based on the Java Debug Interface, supporting AI agents to debug Java applications at runtime, including functions such as breakpoint management, state checking, and dynamic modification.

Flutter - skill is an AI - native end - to - end testing tool that allows AI agents to directly interact with running applications through the MCP protocol, supporting 10 platforms without writing test code.

VulniCheck is an AI - driven security scanner that provides comprehensive security analysis for Python projects and GitHub repositories. It runs as a Docker - based HTTP MCP server, supports standard HTTP streaming, and offers containerized deployment and comprehensive vulnerability scanning capabilities, including dependency checking, key detection, Docker file analysis, and AI risk assessment.

This project provides a Dagster service interface based on the Model Context Protocol, enabling AI agents to interact with the Dagster data orchestration platform for data pipeline exploration, run monitoring, and asset management.

A privacy - first document search server that runs entirely locally, providing semantic search functions for AI programming tools through the MCP protocol. No API keys or cloud services are required, and all data processing is completed on the user's computer.

AmanMCP is a privacy-first, zero-configuration local code library retrieval-augmented generation (RAG) tool that integrates with Claude AI through the MCP protocol, providing hybrid search functionality. It runs entirely locally without the need for an internet connection.

A JSON-based unified interface dbt Model Control Protocol (MCP) server that supports triggering dbt model runs and tests through the CLI, API, or AI tools and provides Slack notification functionality.