An MCP server that enables human-machine interaction via Discord, allowing AI assistants to ask humans for input or judgment when needed.

The Pega DX MCP Server is an experimental project aiming to transform Pega Infinity™ applications into an intuitive conversational experience through the Model Context Protocol (MCP). It serves as a bridge between the Pega DX API and the natural language interface, enabling GenAI agents, IDEs, and other MCP-supported tools to interact with Pega Infinity™ applications using simple human-readable commands.

The Neural Child Development System is a breakthrough artificial intelligence framework that reconstructs the learning method of neural networks by simulating human psychological development stages (including cognitive, emotional, and social growth). This system integrates developmental psychology theories (such as Piaget's cognitive development stages and attachment theory) and neuroscience principles to build a complex architecture including perceptual processing, emotional regulation, memory systems, and psychological components, aiming to create AI with real emotional intelligence and natural development capabilities.

A service system that uses humans as MCP tools

AI Humanize MCP Server is a powerful model context protocol server that focuses on optimizing AI-generated content into more natural and humanized text.

Voice Mode is a tool that provides natural voice conversation capabilities for AI assistants and supports human - machine voice interaction with LLMs such as Claude and ChatGPT through the MCP protocol.

This project implements the Model Context Protocol (MCP) as a practical solution for the Personal Intelligence Framework (PIF). It builds a meaningful space for the development of understanding between humans and AI through structured tools and a progressive interaction mode.

Claude Agents Power is an intelligent MCP server project that can analyze user projects and recommend a perfect team configuration composed of over 100 professional roles. It supports multiple languages, provides various professional role agents in areas such as technology, data, product, marketing, operations, finance, human resources, and executives, and can automatically download and integrate them for use in Claude.

MCP Connect 4 is a Tic - Tac - Toe game project that realizes human - machine interaction through MCP technology, allowing users to play against AI assistants and automatically record the game state.

MCP Advisor is a server that provides access to the complete Model Context Protocol specification. It helps LLMs and humans understand the MCP specification through prompts and resources, including JSON schemas and detailed documentation.

FFmpeg-MCP is a model context protocol server designed to help LLMs process various multimedia content created by humans and machines, including functions such as decoding, encoding, transcoding, mixing, separating, streaming, filtering, and playing.

An MCP service that prevents AI hallucinations. When AI is uncertain, it can ask humans for help instead of being over - confident, improving development efficiency through a simple Q&A mechanism.

The MCP Human - Machine Collaboration Server is an intelligent middleware that dynamically determines when human intervention is needed in the AI decision - making process through a multi - dimensional scoring system

DocNav is a document navigation server based on the MCP protocol, providing LLM agents with human-like long document reading, analysis, and navigation capabilities, supporting multi-format document processing and intelligent search functionality.

DocNav is a document navigation server based on the MCP protocol, providing LLM agents with human - like document reading, analysis, and navigation capabilities, supporting multi - format document processing and intelligent search.

Flyworks MCP is a free and fast zeroshot lipsync tool that automatically synchronizes the lips of digital human videos with audio through an API interface and supports various styles of digital avatars.

A satirical HR tool server built on fastMCP, providing dystopian - style human resource management functions for companies

HumanMCP is a manually operated MCP server project where users need to manually read requests and write responses.

The AI Humanize MCP Server is a powerful model context protocol server that can optimize AI-generated content to be more natural and user-friendly. It has functions such as AI detection, natural language enhancement, grammar correction, and readability optimization, helping users improve text quality.

persistproc is a shared process layer tool designed for multi - agent development workflows. Through the MCP server and command - line tool, it allows agents and human users to view and control long - running processes (such as web servers). Its aim is to reduce copy - paste operations when coding with AI, support multi - agent collaboration, and remain tool - independent.

A Puppeteer-based MCP server that provides anti-detection browser automation capabilities for AI assistants, supporting real clicks, human-computer interaction, and other functions.

Essential MCP is a revolutionary AI - human interaction protocol that enables a more powerful and intelligent collaborative experience through a context management system, tool collection, and testing framework. The project includes core components such as an SSH server, a Python API tool hub, and a unified context system. It is built with a modern technology stack and inspired by Elvis's innovative spirit.

Grasp is an open-source and self-hostable humanized browser automation tool that supports the MCP and A2A protocols and can seamlessly integrate with various AI applications. Through Docker containerization deployment, it provides a browser operation experience controlled by natural language.

The Gemini CLI Orchestrator is a multi-step code analysis tool based on Google Gemini AI. It guides developers through a systematic analysis via a structured workflow rather than replacing human thinking. It offers four core functions: analysis planning, prompt optimization, iterative analysis, and result synthesis, and is suitable for complex scenarios such as security audits and performance optimization.

A toolkit focused on efficiently crawling and cleaning dependency documents, suitable for human reading and AI processing.

Kanban MCP is a project that connects the Planka kanban board with the Cursor MCP protocol, enabling AI assistants to manage kanban tasks, including creating/moving cards, tracking time, adding comments, etc., to achieve human-machine collaborative workflow management.

Baidu Smart Cloud Xiling Digital Human Open Platform provides 13 API interfaces based on the MCP protocol, supporting functions such as digital human video generation and voice cloning, and is compatible with various MCP proxy assistants for quick access.

An MCP server for implementing human-computer interaction workflows, suitable for tools such as Cline and Cursor.

Flyworks MCP is a free and fast zero - shot lip - sync tool that achieves lip - sync between digital human videos and audio through an API interface, supporting both real and cartoon styles.

A Python-based tool that interacts with the Vercel API through the MCP protocol, providing a structured access method for AI systems and humans

The AI Humanize MCP Server is a powerful model context protocol server that can optimize AI-generated content to be more natural and user-friendly. It has functions such as AI detection, natural language enhancement, grammar correction, and readability optimization to help users improve text quality.

The ENS MCP Server is a service for resolving, analyzing, and contextualizing ENS domain name activities, providing human - readable identity insights for Web3 agents. It supports resolving ENS domain names to Ethereum addresses, obtaining detailed domain name information, and retrieving domain - related event histories.

An unofficial Human Protein Atlas MCP Server that provides comprehensive access to data on protein expression, subcellular localization, and pathology.

Brain-MCP is an MCP service that provides a comprehensive memory management system for AI, simulating the human thinking process, supporting short-term memory caching, long-term memory associated storage, and thinking chain management, enabling continuous learning and experience accumulation of AI.

SwemoMCO is a non - official Swedish Monetary Policy Data MCP Server. It encapsulates the open API of the Swedish central bank through the Model - Context - Protocol (MCP) microservice, converts the original REST endpoints into typed Python tools, and can be called by LLMs or humans through any MCP client.

The Tavus MCP server is an AI video generation service interface based on the Model Context Protocol, providing all functions of the Tavus API v2, including 25 tools such as AI digital human creation, video generation, conversational AI, lip-syncing, and speech synthesis.

SwemoMCO is an unofficial Swedish monetary policy data MCP server that encapsulates the open API of the Swedish central bank into a Model-Context-Protocol microservice, providing typed Python tools for LLM and human users.

The gotoHuman MCP Server is a service that allows AI agents to request human review through MCP, supporting asynchronous workflows and automated approvals.

Activepieces is an open-source automated workflow platform designed to replace Zapier. It provides an extensible, type-safe TypeScript framework, supports the integration of more than 200 services, and features AI-first, enterprise-level security, and human intervention processes. The project emphasizes developer-friendliness and community contributions, and supports multi-language translation and custom templates.

mcp - agent is a lightweight AI agent framework based on the Model Context Protocol (MCP), which supports building efficient agent applications through a simple and composable model. It integrates the lifecycle management of the MCP server and implements multiple workflow models, such as parallel processing, routing, evaluation optimization, etc., and is suitable for various AI application scenarios such as multi - agent collaboration and human - machine interaction.