PG-MCP is a model context protocol server designed for PostgreSQL databases, providing APIs for AI agents to discover, connect, query, and understand databases. It supports multi - database connection, rich catalog information, and query explanation functions.

The Quickchat AI MCP server allows users to integrate Quickchat AI agents into various AI applications, such as Claude Desktop and Cursor, and achieve seamless connection through the Model Context Protocol (MCP). Users can easily configure and manage MCP services through the Quickchat AI dashboard without complex deployment.

A curated list of Model Context Protocol (MCP) servers, optimized for AI assistants like Claude, providing services such as file access, database connection, and API integration to extend AI capabilities.

MCPHub is an embeddable Model Context Protocol (MCP) solution for AI service integration. It provides a unified way of configuration and management, supports multiple AI frameworks (such as OpenAI Agents, LangChain, Autogen), and simplifies the connection between MCP servers and AI applications.

This project compiles a list of popular Model Context Protocol (MCP) servers based on Smithery.ai usage data. MCP is an open-source standard developed by Anthropic for establishing secure two-way connections between data sources and AI tools.

The BioContextAI Knowledge Base MCP is a model context protocol server designed for biomedical research that provides a standardized connection layer between AI systems and biomedical resources, supporting integrated access to multiple biomedical databases and tools.

The Saleor MCP Server is a Model Context Protocol service designed for the Saleor e-commerce platform, allowing AI assistants to read product, customer, and order data through an HTTP connection and providing read-only API integration functions.

The Keboola MCP Server is a Model Context Protocol server for interacting with Keboola Connection, providing tools to access Keboola storage API data and supporting use on platforms such as Claude Desktop and Cursor AI.

MCPStudio is an AI tool integration platform similar to Postman, providing a visual interface for creating, testing, and managing Model Context Protocol servers, simplifying the connection process between AI systems and external services.

This project demonstrates how to integrate an AI agent powered by Azure OpenAI with the Microsoft Fabric data warehouse through the Model Context Protocol (MCP), using GraphQL as a common data connection layer to achieve bidirectional access to enterprise data.

A model context protocol server that implements Jira integration, providing a standardized interface for AI models to interact with Jira, including REST API integration, connection pool, error handling and other functions.

A MySQL database operation server based on the Model Context Protocol, providing standardized interfaces for AI models to interact with MySQL, supporting local and remote deployment, and featuring multi - user concurrency and connection pool management.

SearXNG MCP is a model context protocol server based on the SearXNG privacy-protecting metasearch engine, providing web search functionality for AI assistants. It supports zero-configuration use of public instances or connection to private instances, with features such as customizable search parameters, multi-search engine support, and privacy-first.

The MCP portal is the official community platform for the Model Context Protocol, providing resources such as documentation, practical guides, server implementations, and tool integrations. It supports AI models to access external tools through the MCP protocol, covering a wide range of scenarios from database connections to multimodal applications.

The LangExtract MCP Server is a FastMCP - based server that extracts structured information from unstructured text through the Google Gemini model, providing text information extraction capabilities for AI assistants such as Claude Code and supporting smart caching and persistent connections.

A service that provides a standardized interface for AI models to operate MySQL databases, supporting multiple connection methods and database operation tools.

The Lara Translate MCP Server is a translation service middleware based on the Model Context Protocol (MCP), providing a bridge connection between AI applications and the Lara Translate API.

WP-CLI AI command plugin that enables AI interaction in WordPress development through the Model Context Protocol (MCP), supporting connection to local or remote MCP servers.

MCP Serve is a powerful deep learning model server tool that supports deployment through Shell execution, Ngrok connection, or Docker containers, and integrates multiple advanced AI technologies.

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.

Model Context Protocol (MCP) is an open standard that allows developers to establish a secure two-way connection between data sources and AI tools. This project provides a gem package implemented in Ruby, including full development process support and type checking functions.

The MCP PostgreSQL Server is a standardized interface service that allows AI models to interact with PostgreSQL databases through tool calls, supporting functions such as connection management, query execution, and table structure viewing.

MCP SSH Agent is a server based on the Model Context Protocol for managing and controlling SSH connections. It integrates with MCP-compatible clients such as Claude Desktop to provide AI-driven SSH operations, including remote command execution, file transfer, and other functions.

A curated list of Model Context Protocol (MCP) servers optimized for AI assistants like Claude, providing various extended capabilities such as file access, database connection, and API integration.

MCPOmni Connect is a powerful and universal command-line interface (CLI) that serves as the gateway to the Model Context Protocol (MCP) ecosystem. It integrates multiple MCP servers, AI models, and transport protocols, providing a unified and intelligent interface that supports multi-protocol connection, AI-driven interaction, security and privacy protection, memory management, and advanced prompt processing. etc. capabilities.

The Quickchat AI MCP Server is a tool that allows users to integrate the Quickchat AI agent into various AI applications, supporting seamless connection through the Model Context Protocol (MCP). Users can quickly deploy and use their Quickchat AI agents in applications such as Claude Desktop and Cursor through simple configuration.

MySQL MCP Server is a service component that implements the Model Context Protocol (MCP), providing a secure and structured interaction interface between AI applications and MySQL databases. It supports functions such as listing database tables, reading table content, and executing SQL queries. Database connections are configured through environment variables, emphasizing security and the principle of least privilege.

A service that implements the Model Context Protocol (MCP), allowing AI assistants to interact with Snowflake databases through natural language queries, supporting SQL execution, automatic connection management, and multi-client integration.

A MySQL database operation service based on the Model Context Protocol, providing a standardized MySQL database interaction interface for AI models, supporting functions such as connection management, query execution, and table structure viewing.

This project is a developer documentation about the Model Context Protocol (MCP) Server, which details how to build, run, and integrate the MCP Server to achieve a secure connection between AI models and real-time data, tools, and business logic.

Awesome MCP Servers is a carefully curated list that includes various implementations of Model Context Protocol (MCP) servers. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized servers. This list covers production-ready and experimental MCP servers, extending AI capabilities through file access, database connection, API integration, and other context services.

MCP-hfspace is a server tool that simplifies the connection to Hugging Face Spaces. It supports multiple AI functions such as image generation, speech processing, and vision models, and seamlessly integrates with Claude Desktop.

The MySQL MCP Server is an open - source tool based on the Model Context Protocol that allows Claude AI to directly access and operate the MySQL database using natural language. It provides secure permission control, a Web management interface, and multiple deployment methods, supporting functions such as query execution, database exploration, and connection switching.

This project implements a Model Context Protocol (MCP) server for standardizing the connection between AI applications and data sources, supporting querying document content and providing three core capabilities: resources, tools, and prompts.

A tool server that enables interaction between AI and MySQL databases through the Model Context Protocol (MCP), providing functions such as secure querying and connection checking.

This is an MCP server project built for the Norwegian power supplier Tibber, allowing AI agents to access the Tibber API through the Model Context Protocol to query energy prices and electricity consumption data. The project provides a local running solution and supports connection through clients such as Claude Desktop.

PG-MCP is a model context protocol server designed for PostgreSQL databases. It provides APIs for AI agents to connect to, query, and understand databases, and supports multiple database connections, rich metadata extraction, and query analysis functions.

MCP is an open protocol for standardizing the context of AI applications, similar to the USB - C interface in the AI field, enabling seamless connection between LLMs and various data sources/tools. It provides preset integrations, multi - model switching, secure data processing, and a standardized interface, supporting the construction of LLM - based intelligent agents and complex workflows.

The Grasshopper MCP server enables natural language interaction between AI models and the Rhinoceros/Grasshopper parametric design tools, supporting the connection between large language models and design software through the HTTP/WebSocket protocol.

The Exa MCP Server is a server that enables AI assistants (like Claude) to conduct web searches through the Exa AI Search API, using the Model Context Protocol (MCP) to achieve secure and controllable connections to external tools.