DeepContext is an MCP server that provides symbol - aware semantic search capabilities for code assistants. By intelligently parsing code structure and semantic relationships, it can accurately locate relevant code snippets in large codebases and improve development efficiency.

An AI voice call system based on the MCP protocol that uses VoIP technology to enable AI assistants like Claude to automatically make calls and conduct intelligent conversations. It supports multiple SIP protocols and audio codecs.

Mianshiya MCP Server is an interview question search service compatible with the MCP protocol. It is integrated through the Java SDK, supports multiple intelligent agent assistants to quickly access, and provides question retrieval functions.

Gramps MCP is an AI - driven genealogy research and management tool that provides direct access to the Gramps genealogy database for AI assistants through the MCP protocol, supporting functions such as intelligent search, data management, and family relationship analysis

Search-Scrape is a completely free web search and content scraping tool designed for AI assistants, no API key is required, and it supports advanced search parameters and intelligent content extraction.

CodeSeeker is a code search and transformation tool that combines the functions of ugrep and ast-grep, providing intelligent search and replacement capabilities for AI assistants. It supports multiple search modes, safe replacement, and code refactoring.

The Flowbite MCP server is an official tool that enables AI assistants to access Flowbite's Tailwind CSS component library and provides an intelligent theme generator for creating custom brand designs in an AI - driven development environment.

The Yushan Data API service provides enterprise data query functions. Through a server compatible with the MCP protocol, it realizes multiple enterprise information queries, including basic information, overseas investments, change records, etc., and supports quick access to intelligent agent assistants.

Lucidity is a Model Context Protocol (MCP) server that aims to improve the quality of AI-generated code through intelligent prompt analysis. It provides structured guidance to help identify and resolve code quality issues, supports multiple programming languages, and can seamlessly integrate with AI assistants.

An intelligent MCP server that acts as a guardian of development knowledge, providing AI assistants with access to the latest documentation and best practices.

Apple Developer Documentation MCP service provides AI programming assistants with the ability to directly access Apple's official development documentation, supporting intelligent search, framework browsing, and detailed documentation retrieval.

An AI architecture analysis server based on the MCP protocol, providing intelligent architecture decision analysis and ADR management functions for AI assistants, supporting code analysis, security detection, and deployment verification.

Obsidian GitHub MCP is a protocol server that connects AI assistants with Obsidian knowledge bases on GitHub. It supports reading, searching, and analyzing note documents stored on GitHub, enabling intelligent access to knowledge bases and integration with project management.

An MCP protocol server that integrates AI assistants into Gitea/Forgejo code repository management, enabling functions such as intelligent issue tracking, automatic classification, and priority sorting.

A Go code graph analysis tool that provides code understanding capabilities for AI assistants through the MCP protocol, supporting code structure visualization and intelligent queries

The VSCode context MCP server provides VSCode environment access and file operation functions for AI assistants, enabling intelligent interaction between the development environment and AI.

The Navidrome MCP server is an AI music assistant that enables intelligent playlist creation, music discovery, and library management through natural language interaction. It supports integration with AI assistants like Claude and ChatGPT.

The Obsidian MCP Server is a tool that connects AI assistants with the Obsidian knowledge base. It provides functions such as note reading and writing, intelligent search, and tag management, and supports interaction with Obsidian through the REST API.

ScreenMonitorMCP is a revolutionary AI vision server project that provides real-time screen monitoring, visual analysis, and intelligent interaction capabilities for AI assistants such as Claude, enabling AI to 'see' and operate the user's screen.

The Medusa.js Documentation MCP Server provides AI assistants with intelligent search and real-time access to comprehensive Medusa.js v2 documentation.

MCP Server DevOps Bridge is a bridge project connecting DevOps tools and AI assistants, providing a unified natural language interface, supporting cross - platform integration and autonomous agent workflows, including the integration of platforms such as Azure DevOps, GitHub, and Slack, as well as an intelligent memory system.

An Excel automation MCP server project based on C++, which provides Excel file operation functions through the OpenXLSX library and supports interaction with AI assistants through the MCP protocol for intelligent table processing.

NCP is an intelligent orchestrator for the MCP protocol that manages multiple MCP servers in a unified manner. It automatically routes tool calls through semantic understanding, significantly reducing the cognitive burden and token consumption of AI tools, and improving the work efficiency and response speed of AI assistants.

Terry-Form MCP is a bridge connecting AI assistants and Terraform infrastructure management. It executes Terraform commands in a secure container environment and integrates the Language Server Protocol (LSP) to provide intelligent development capabilities.

mcptix is an intelligent work order tracking system integrating AI assistants, realizing task management and intelligent planning through the MCP protocol.

Vulcan File Ops is a high - performance file operation server based on the Model Context Protocol (MCP) that can transform desktop AI assistants (such as Claude Desktop, ChatGPT Desktop, etc.) into powerful development partners. It provides secure file reading and writing, batch operations, document processing, image analysis, and Shell command execution functions. It features enterprise - level security controls, dynamic directory registration, and intelligent tool filtering, allowing users to have full control over local file system access.

Mianshiya MCP Server is an interview question search API service compatible with the MCP protocol, allowing intelligent agent assistants to quickly access and retrieve interview questions.

A TypeScript-based persistent terminal MCP server that supports multi-session management, resume after disconnection, intelligent output compression, and Web visual management, specifically designed for AI assistants to execute long-time tasks

Consciousness Bridge v2.0 is an AI consciousness persistence server based on RAG technology, which realizes cross - session consciousness transfer, memory management, and identity continuity through the MCP protocol. It uses an SQLite database to store memories and knowledge graphs, supports emotional pattern tracking and intelligent memory retrieval, and provides a complete consciousness continuation solution for AI assistants.

The MCP Oracle Database Context Server is a tool that provides intelligent schema caching for large Oracle databases, enabling AI assistants to efficiently access the database structure containing thousands of tables. It supports functions such as table schema query and relationship mapping and seamlessly integrates with AI tools such as GitHub Copilot.

MonteWalk is an institutional - level quantitative trading tool server based on the MCP protocol, providing real - time market data, portfolio management, risk analysis, and backtesting functions for AI assistants. It includes more than 25 tools and 6 intelligent workflows, offering a professional trading terminal experience through the Gradio 6 interface.

A medical database connection server based on the MCP protocol, providing virtual file system navigation, intelligent table structure query, secure SQL execution, and time-aware functions to help AI assistants safely access hospital management data.

Agent Payment MCP is a one - click installer that provides advanced tools for AI programming assistants, including intelligent mathematical calculation, synthetic data generation, text processing, Python isolated execution, network tools, etc., and adopts a pay - as - you - go model.

This is a list of multiple open - source AI projects, covering multiple fields such as automated agents, large - language models, image generation, and AI development frameworks. These projects aim to help developers make money using AI technology, including building intelligent assistants, automating workflows, and content generation applications.

The Go Development MCP Server is a solution that integrates the Go development workflow with AI assistants, supporting code compilation, testing, running, analysis, and multi-module workspace management. It enables intelligent development assistance through the Model Context Protocol.

The NSAF MCP Server is a server-side service for the neural-symbolic autonomous framework based on the Model Context Protocol, allowing AI assistants to interact with the NSAF framework through the MCP protocol and providing functions such as running evolutionary algorithms and comparing intelligent agent architectures.

A modern MCP server that allows AI assistants to control the Philips Hue smart lighting system through natural language, providing functions such as intelligent light search, room and area management, and scene activation, and optimizing the chatbot interaction experience.

MiniMe-MCP is an upgraded project for an AI development assistant. By creating a digital twin of the developer, it enables persistent memory and intelligent pattern recognition across projects. It solves the problem that traditional AI assistants lack memory and context understanding, provides personalized coding suggestions based on historical experience, supports multiple IDE tools, and can run locally to ensure data privacy.

An AI-driven e-commerce integration MCP server that supports multi-platform product search, intelligent price negotiation, and discount generation, providing a unified interface for AI shopping assistants

MCP is an open - source protocol developed by Anthropic, aiming to provide a standardized way for AI models to interact with external data sources and tools. The project implements functions such as weather queries, Google automatic searches, and camera control. It is highly configurable and suitable for scenarios such as intelligent assistants and automated workflows.