Inbox Zero is an open-source AI email assistant and client that helps users manage emails efficiently and achieve an empty inbox.

Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.

Eino is an LLM application development framework designed specifically for Golang, aiming to simplify the AI application development process through concise, scalable, reliable, and efficient component abstraction and orchestration capabilities. It provides a rich component library, powerful graphical orchestration functions, complete stream processing support, and a highly scalable aspect mechanism, covering the full-cycle toolchain from development to deployment.

An intelligent task management system based on the MCP protocol, providing an efficient programming workflow framework for AI agents, with functions such as task planning, decomposition, execution, and memory.

MCpp Server is a high-performance Minecraft server written in C++. It aims to provide a fast and efficient gaming experience while maintaining compatibility with Java clients.

CICADA is an MCP server that provides structured code indexing for AI code assistants. Through AST-level indexing, call site tracking, and semantic search, it provides efficient context compression for Elixir, Python, and Erlang code repositories, reducing token usage and improving the quality of code understanding.

A gravitational wave signal detection and optimization system based on the MCP protocol, focusing on the analysis of the GW150914 event and achieving efficient signal detection through AI intelligent exploration of the parameter space.

Fastly MCP is a tool that integrates Fastly API functions into AI assistants through the Model Context Protocol (MCP), enabling secure and efficient automation of CDN management.

The PubMed MCP Server is an interface service based on the Model Context Protocol, providing comprehensive access to the PubMed biomedical literature database for AI agents and research tools. It supports functions such as literature search, metadata acquisition, citation analysis, research plan generation, and data visualization, and is efficiently integrated through the NCBI E - utilities API.

Memory Bank is a project knowledge management system based on the MCP protocol that automatically generates structured documents through AI to help teams efficiently manage project knowledge.

An intelligent research assistant integrating Perplexity AI, providing functions such as search, document retrieval, API discovery, and code modernization check, supporting context tracking and efficient API management.

The OpenRouter Agents MCP Server is a research agent server based on the Model Context Protocol (MCP). It uses Claude 3.7 Sonnet as the planning agent to coordinate multiple OpenRouter models to decompose and execute complex research tasks, providing efficient and reliable AI research services.

An optimized MCP protocol web scraping server that significantly reduces the token usage of AI processing through server - side HTML to Markdown conversion and CSS selector filtering, providing efficient content extraction functions.

An MCP server integrated with the HackerNews API, providing functions such as searching for posts, getting details, user analysis, trend tracking, and comment analysis to help AI assistants efficiently access and understand HackerNews content.

The MCP Server is an interaction system based on the Model Context Protocol standard, combining IPFS distributed storage and Claude AI processing capabilities to achieve efficient interaction between models, agents, and contextual data.

JEBMCP is a project that combines JEB and MCP tools, aiming to simplify reverse engineering tasks through Python scripts and provide efficient code analysis and operation functions.

This project implements a read-only MCP server for the Notion API, focusing on providing efficient content query and retrieval functions for AI assistants. Through optimization measures such as streamlining the toolset, parallel processing, and automatic content exploration, it significantly improves performance and solves the problem of the limited number of AI assistant tools.

The Shared Knowledge MCP Server is a middleware that provides unified knowledge base services for multiple AI assistants, enabling efficient information retrieval and sharing through RAG technology.

A project based on the mcp-server, supporting large AI models to efficiently invoke Spinq's quantum computing hardware resources. It provides one-click installation scripts for Windows and macOS, automatically detecting the Python environment and installing dependencies.

Overview: The MCP server acts as middleware, enabling AI agents to automate tasks by connecting to local data and remote services. It supports functions such as query execution and prompting to efficiently handle context. This represents a step towards fully automated AI systems capable of performing complex operations.

The LSD MCP server is a bridge connecting Claude AI with Internet data, enabling efficient querying and aggregation of web data through the LSD SQL language.

Payload MCP is an AI - assisted tool server developed specifically for Payload CMS. It provides code generation, validation, project building, and query analysis functions through the standardized Model Context Protocol (MCP) to help developers more efficiently build and manage Payload CMS projects.

Graphiti MCP Server is an enhanced knowledge graph framework specifically designed for AI agents to build and query time - aware knowledge graphs in dynamic environments. It exposes core functions through the MCP protocol, supports continuous integration of user interactions, enterprise data, and external information, and provides capabilities for incremental updates, efficient retrieval, and precise historical queries.

The Filesystem MCP Server is a Node.js-based filesystem tool server that follows the Model Context Protocol (MCP), providing AI agents with secure and efficient file access capabilities. It ensures operation security by limiting the project root directory, supports batch operations to reduce communication overhead, and offers rich file management functions such as reading, writing, editing, searching, and permission management.

An MCP server integrated with the HackerNews API, providing functions such as searching for posts, obtaining details, user analysis, trend tracking, and comment analysis to help AI assistants efficiently access and understand HackerNews content.

Cocos MCP Log Bridge is a log synchronization tool connecting the Cocos Creator editor and Cursor AI. It provides real - time log transmission, intelligent filtering, and scene management functions to help developers debug efficiently.

This project implements a document retrieval server based on the Model Context Protocol (MCP), which can dynamically obtain the latest official documentation content of Python libraries for AI assistants. It supports libraries such as LangChain, LlamaIndex, and OpenAI, conducts efficient searches through the SERPER API, and uses BeautifulSoup to parse HTML content. The project is designed to be extensible, facilitating the addition of support for more libraries.

A modern and efficient CLI tool that can convert any input file to a base64 string, supports multiple output formats and two - way conversion, and includes an MCP server optimized for AI workflows.

A powerful tool for visualizing and analyzing directory structures, supporting AI assistants to efficiently navigate project files.

A knowledge graph memory server based on Neo4j, providing efficient storage and retrieval capabilities for AI interactions

MCP-JaCoCo is a service tool that converts JaCoCo code coverage reports into a format suitable for large language models (LLMs), making AI-driven analysis more efficient

Unity Code MCP is a high - performance MCP server built on Rust, designed for AI agents to independently write Unity code, providing lightweight and efficient compilation feedback and test execution capabilities.

An intelligent task management system based on the Model Context Protocol (MCP), providing an efficient programming workflow framework for AI agents, with functions such as task planning, decomposition, dependency management, verification, and memory.

An MCP server designed for the official Dart/Flutter package repository pub.dev, providing functions such as package search, information retrieval, version management, and document access. It supports AI assistants to efficiently obtain package data.

The MCP Memory Server provides long-term memory functions for AI assistants and implements efficient vector similarity search based on PostgreSQL and pgvector.

MCP-ANY-REST is a REST API connector based on the Model Context Protocol standard. It enables secure and efficient connection between AI models and business systems through the ZML configuration language, supporting service orchestration and token authentication.

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

Fetcher MCP is a web content scraping server based on the Playwright headless browser, which uses AI technology to efficiently obtain web information.

sqlew is an MCP server that provides a shared SQL context repository across sessions for AI agents. By recording the reasons for decisions and constraint rules, it prevents context loss and duplicate work, achieving efficient team knowledge management and code consistency.

AI00 RWKV Server is an efficient inference API server based on the RWKV language model, supporting Vulkan acceleration and OpenAI-compatible interfaces.