DB MCP Server is a multi-database supported server that implements the Model Context Protocol (MCP) and provides AI assistants with the ability to access databases in a structured manner. It supports MySQL and PostgreSQL, can connect to multiple databases simultaneously, automatically generates dedicated tools, and follows a clear architecture design.

The MySQL MCP Service is an API service based on Node.js that provides MySQL database connection and query capabilities for Cursor AI, supporting functions such as SQL execution and table structure query, and following the MCP protocol standard.

A local task management server based on SQLite, following the MCP protocol, providing project-based task management tools that support operations such as creating projects, adding tasks, updating statuses, and expanding subtasks.

The NASA MCP Server is a server that follows the Model Context Protocol specification, providing a standardized interface for AI models to access more than 20 public API data sources of NASA, including astronomical photos, Mars exploration data, Earth observation images, etc. The project provides unified data format conversion, parameter validation, and rate limit management, and supports multi - platform operation.

A Reddit interaction server specifically designed for AI agents, supporting content reading, creation, and sub - forum management, following the MCP protocol and integrating advanced functions such as rule compliance and intelligent replies.

An MCP service that helps technical coaches create structured learning hour meeting content, following the 4C learning model to generate a complete 60 - minute technical practice course plan including connection, concept, practice, and conclusion.

Media Gen MCP is a server that strictly follows the TypeScript and MCP specifications, focusing on generating and editing images and videos using OpenAI and Google's AI models. It provides a series of tools, including image generation/editing, video creation/remixing, file acquisition and processing, and supports intelligent resource linking and inline output. It is suitable for various MCP-compatible clients.

MCP Servers is a project hosted on GitHub, which includes workflows such as automated testing, code coverage checking, and security scanning, and follows open - source licenses and community codes of conduct.

The AI Code Toolkit provides MCP servers and tools to help AI programming agents maintain code consistency, follow conventions, and scale as the codebase expands, including scaffolding templates, architectural patterns, and validation rules

The Netlify MCP Server is a service that follows the Model Context Protocol (MCP). It allows code agents to use the Netlify API and CLI through natural language instructions to create, build, deploy, and manage Netlify resources.

Claude MCP is a server tool system that enhances Claude's code generation capabilities. By providing the latest documentation and API access, it ensures that the generated code follows the latest best practices. The system supports local or shared deployment, includes tools such as document scraping, and can expand its functions through modularization.

The FalkorDB MCP server is a middleware that follows the Model Context Protocol (MCP) and is used to connect AI models with the FalkorDB graph database to implement query and interaction functions.

The Payload CMS 3.0 MCP Server is a model context protocol server designed specifically for Payload CMS development, offering code validation, template generation, and project scaffolding functions to help developers build applications following best practices.

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 developed in Go, supporting SSE and stdio operation modes. It provides functions for querying Bilibili personal information, following lists, and video search, and helps AI select personalized video content.

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.

Open Deep Research MCP Server is an AI - driven deep research assistant that conducts iterative deep research by combining search engines, web scraping, and AI technology to generate comprehensive reports. It supports two usage methods: MCP protocol and CLI, and has functions such as reliability assessment, scope control, and automatic generation of follow - up questions.

This project demonstrates the MCP server function of GenAIScript, supporting communication with AI models, including local models, and following the Anthropic MCP protocol standard.

This is a cognitive tool project that integrates Indigenous traditional knowledge and cultural expressions. It is developed and maintained by members of the Anishinaabe tribe, following a strict cognitive process (OOReDAct cycle) and tribal sovereignty protection agreements.

The X (Twitter) MCP server is a protocol server for interacting with Twitter through AI tools, supporting functions such as getting tweets, posting tweets, searching on Twitter, and managing followers. It uses Twitter API v2 for secure authentication.

An attempt to develop an MCP server for the Goose project, following its custom extension guide, supporting the creation of a Python virtual environment and running the MCP service through the uv command.

The MCP server project of Catalysis Hub provides programmatic access to catalysis research data through a GraphQL interface, supports complex queries and variable parameterization, and follows the MCP protocol to achieve interoperability with AI agents.

The Payload CMS 3.0 MCP server is a model context protocol server designed specifically for Payload CMS, providing code validation, template generation, and project scaffolding functions to help developers build applications following best practices.

An MCP server that converts Figma designs into Vue 3 components, following the Hostinger design system and HComponents specification, supporting automatic generation of responsive components and BEM styles.

This is an MCP server project designed for n8n, providing functions such as workflow validation, NextJS integration, and workflow management to help users follow best practices and simplify the development of automation projects.

An MCP server developed in Go, supporting SSE and stdio operation modes, providing functions such as Bilibili personal information query, latest following list, and video search, and facilitating AI to select personalized video content.

Use Azure API Management as an AI gateway to achieve secure access to remote MCP servers through Azure Functions, following the latest MCP authorization specification.

MCP Jenkins is an open-source project that bridges Jenkins with AI language models, follows Anthropic's MCP specification, and supports secure and context-aware AI interactions.

MCP is an open-source AI-driven penetration testing framework that integrates multiple security tools, analyzes their outputs in real-time, strictly follows the standard penetration testing process, and provides intelligent assistance to security testers.

An MCP service that helps users discover the most interesting topics in their followed Bluesky posts daily, providing post retrieval, analysis, and caching functions.

Prompt Cleaner is an MCP server based on TypeScript, providing prompt cleaning tools and health check functions. The main functions include sensitive information desensitization, structured output, client-friendly content standardization, support for configuring LLM parameters through environment variables, and following the single model strategy to ensure behavior determinacy.

The Development Workflow MCP Server helps developers follow a standardized workflow, ensuring code quality, testing, and documentation integrity.

The Square Model Context Protocol (MCP) Server project follows the MCP standard and provides AI assistants with the ability to interact with the Square Connect API. It supports local and remote deployment and includes a complete Square API service catalog.

A Python template project for creating a VS Code MCP server, following the best practices of production-level MCP servers, providing infrastructure for configuration management, logging, and tool implementation.

An automated lead nurturing system based on the Gmail API and MCP protocol, offering 24/7 email marketing, intelligent follow-up, and response tracking capabilities

A Markdown editor server that follows the MCP 2025 standard, providing document editing tools based on semantic structure, supporting intelligent search, content replacement, element operations, and metadata management.

An AI prompt management server based on Rust, following the Model Context Protocol standard, providing prompt storage, retrieval, template variable support, and multi - backend storage functions.

This is a Model Context Protocol (MCP) server implemented for Amazon Redshift, written in TypeScript. It follows Anthropic's implementation pattern and provides rich Redshift data warehouse context information for Cursor IDE and other MCP-compatible clients, enabling LLMs to examine the database schema and execute read-only queries.

This is an MCP server implemented for Amazon Redshift, developed in TypeScript and following Anthropic's implementation pattern. It provides rich context information of the data warehouse for MCP-compatible clients such as Cursor IDE, supporting database schema inspection and read-only query execution.

An MCP protocol server implemented in Go language, providing calculator and greeting functions, following the JSON - RPC 2.0 specification and MCP protocol standard.