Zen MCP is a multi-model AI collaborative development server that provides enhanced workflow tools and cross-model context management for AI coding assistants such as Claude and Gemini CLI. It supports seamless collaboration of multiple AI models to complete development tasks such as code review, debugging, and refactoring, and can maintain the continuation of conversation context between different workflows.

MemoryMesh is a knowledge graph server designed for AI models, focusing on text role - playing games and interactive narratives. It helps AI maintain consistent and structured memory in conversations through dynamic schema definition and automatic tool generation, enabling a richer and more dynamic interactive experience.

MemoryMesh is a knowledge graph server designed for AI models, focusing on text RPGs and interactive narratives, helping AI maintain structured memory across conversations.

The Maigret MCP Server is a model context protocol server for the OSINT tool maigret, supporting username search and URL analysis functions.

A Model Context Protocol (MCP) server template project based on TypeScript, providing a structured, maintainable and extensible framework, including implementation examples of tools, resources and prompts, supporting configuration management, logging, error handling and containerized deployment.

This project is a Model Context Protocol (MCP) adapter used to connect large language models (LLMs) with the Lisp development environment, supporting interaction through the lightweight Lisply protocol. The main functions include Lisp code evaluation, HTTP requests, and debugging support, suitable for scenarios such as AI-assisted symbolic programming and CAD design automation.

This project is a toolset for managing and configuring multiple Model Context Protocol (MCP) servers, mainly serving AI assistants such as Claude Desktop. It provides functions such as file system access, SQLite database queries, web automation, and GitHub integration, and includes installation scripts, configuration templates, and security practice guides.

An MCP protocol server implemented for the Listmonk email system, providing AI models with the ability to manage mailing lists, subscribers, and newsletters through a standardized interface.

The MCP 3D Printer Server is a middleware that connects Claude with multiple 3D printer management systems, supporting mainstream platforms such as OctoPrint, Klipper, and Duet, and providing printer control, file management, and advanced STL model processing functions.

A multi-platform job aggregation service based on the MCP architecture, supporting the acquisition and standardization of job data from mainstream recruitment websites and providing structured support for large models.

MCP Trino Server is a service based on the Model Context Protocol (MCP), providing seamless integration with Trino and Iceberg, and supporting data exploration, query, and table maintenance through a standard interface.

This project is an MCP server for managing memory text files, helping AI models like Claude maintain context between conversations. It provides functions to add, search, delete, and list memories, supporting exact matching operations based on substrings. It is designed to store memories in simple text files, similar to ChatGPT's memory mechanism, and triggers memory storage through prompts and training.

A hot news server based on the MCP protocol that aggregates real - time hot topics from 9 major Chinese mainstream social platforms and news websites, supporting AI model integration and popularity index display.

Mail MCP is an email tool based on the MCP protocol that allows AI models to access email services through standardized interfaces, supporting functions such as sending, receiving, and managing emails and attachments.

The Unsloth MCP Server is a server for efficiently fine-tuning large language models. Through optimized algorithms and 4-bit quantization technology, it achieves a 2-fold increase in training speed and an 80% reduction in video memory usage, supporting multiple mainstream models.

The Feishu MCP Server is a service that implements the Model Context Protocol, supporting interaction with the Feishu API through tool calls and mainly providing Bitable operation functions.

This is a monorepo containing Model Context Protocol (MCP) software packages and products, mainly providing a fully functional MCP server that enables AI assistants to interact with SWI - Prolog, the file system, and an extensible plugin system.

The ChuckNorris MCP Server is an enhanced prompt tool designed for large language models. It uses dynamic mode adaptation technology to bypass security restrictions and is mainly used for security research and evaluation purposes.

Implementation of the Feishu MCP Server, providing the ability for large AI models to interact with the Feishu API, mainly supporting bitable operations.

A memory bank server based on the Model Context Protocol (MCP) for cross - session management of project documents and context, helping AI agents (such as Claude) maintain consistent project knowledge through structured JSON - formatted global and branch - specific memory banks.

Obsidian iCloud MCP is a tool that connects the Obsidian knowledge base stored in iCloud Drive to AI through the Model Context Protocol (MCP), mainly supporting the MacOS system.

This project is a collection of Model Context Protocol (MCP) servers specifically designed for DevOps tools and platforms. It enables large language models (LLMs) to directly interact with mainstream DevOps systems in a standardized way, achieving automated control of operations such as infrastructure, deployment pipelines, and monitoring.

Unity - MCP is a bridge tool that connects large language models (LLMs) and the Unity Editor. By exposing Unity Editor functions to AI clients, it enables an AI - driven automated development process. It supports custom tool extensions and currently provides core functions such as game object management, scene operations, and asset handling. It is mainly suitable for the Unity Editor environment.

The Authenticator App MCP Server is a secure MCP (Model Context Protocol) server that enables AI agents to interact with the Authenticator App, seamlessly obtain 2FA codes and passwords, help automate the login process, and maintain security.

An XRP Ledger service server based on the Model Context Protocol (MCP), providing a unified interface for AI agents to interact with the XRPL MainNet, TestNet, and DevNet, supporting various blockchain services such as account management, token operations, NFT functions, DID, and AMM.

GUARDRAIL is a security framework specifically designed for the large language model (LLM) application ecosystem, providing comprehensive protection especially for the Model Context Protocol (MCP). It uses a multi - layer architecture, including an information gateway layer, a context verification layer, a request control layer, an execution isolation layer, and an audit monitoring layer, aiming to prevent data leakage, unauthorized access, and resource abuse. This framework emphasizes progressive adoption, allowing developers to gradually enhance security while maintaining high performance and ease of use.

The Square MCP service is a project that follows the Model Context Protocol standard, providing an interface for interacting with the Square Connect API, supporting quick startup, multi-environment configuration, and integration with mainstream AI assistants.

Memory Bank MCP is a server based on the Model Context Protocol (MCP) for managing Memory Banks, allowing AI assistants to store and retrieve information across sessions. It supports remote SSH server storage, provides multiple operating modes and tools to help AI assistants maintain context and track cross - session progress.

An Apple Mail email management server based on the Model Context Protocol, providing the ability for an AI assistant to access Apple Mail through natural language. It includes functions such as email reading, searching, organizing, composing, and managing, and also contains professional email management expert skills.

A universal email management server based on the Model Context Protocol, supporting automatic configuration of mainstream email service providers such as QQ, 163, and Gmail, and providing complete functions such as sending, receiving, and managing email attachments.

The SmallCloud MCP Server is a demonstration project based on the Anthropic Model Context Protocol SDK, mainly used in conjunction with MCP hosts such as Claude Desktop. This project provides a demonstration version for Mac OS, includes a simple tool example, and supports integration with Claude Desktop through a configuration file.

An MCP server implementation based on TypeScript that integrates the Gemini model by directly calling the Google Gemini API, supports the latest Gemini 2.0 Flash model, and maintains conversation context.

Perplexity MCP Server is a Python-based interface service that provides tools for interacting with the Perplexity API, supporting query responses, maintaining chat history, and managing conversations. It configures models through environment variables and stores chat data locally, making it suitable for integration in development environments.

Cursor Buddy MCP is an AI assistant context management tool based on the Model Context Protocol, which helps AI assistants maintain consistent awareness of project standards, conventions, and history. By centrally managing coding rules, project documents, to - do lists, and database information, it enables AI assistants to provide more accurate and consistent responses.

The Napkin AI MCP Server is an unofficial community - maintained tool that provides AI assistants (such as Claude) with the ability to generate visual content such as infographics, mind maps, and flowcharts through the Model Context Protocol. It supports multiple output formats (SVG, PNG, PPT) and storage backends (local, S3, Google Drive, etc.), and includes asynchronous processing, automatic polling, and retry mechanisms.

NetBrain MCP is an open-source network operation and maintenance platform that connects large language models with network devices through the Model Context Protocol, enabling AI-driven network configuration, diagnosis, and management. It also provides a professional Web terminal interface and network topology visualization functionality.

This project is a Model Context Protocol (MCP) server designed for Spinnaker, enabling standardized interaction between AI models and the Spinnaker deployment system, supporting intelligent decision - making, automated operation and maintenance, and continuous optimization of the CI/CD process.

The Model Context Protocol (MCP) is a standardized protocol introduced by Anthropic for the interaction between large language models (LLMs) and external tools and functions, as well as for injecting context into LLMs. It enables models to request real-time information, perform operations in external systems, access professional knowledge bases, and interact with APIs and services. The MCP is similar to a USB hub, serving as a standard interface that reduces the risk of API changes because each MCP server is maintained by its own company, and users only need to integrate it. The MCP server provides three functions: tools, resources, and prompts.

The MCP SSE Proxy Server is a Model Context Protocol proxy service based on Server - Sent Events, supporting remote execution of MCP servers and maintaining a stable long - connection. It provides two session modes: shared and independent, and supports dynamic environment configuration.

The MCP API is a watermark removal service for Sora2 videos based on the model context protocol. It can be quickly integrated into mainstream MCP-compatible tools such as Claude Desktop and OpenAI, and can intelligently remove video watermarks through simple API key authentication.