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.

Baidu Maps MCP Server is the first domestic map service compatible with the MCP protocol, offering 10 standardized API interfaces such as geocoding and route planning, supporting quick access via Python and Typescript, and enabling agents to implement map - related functions.

A CLI tool that converts OpenAPI specifications into MCP-compatible servers, supporting multiple transport protocols and authentication methods, facilitating the interaction between AI agents and REST APIs.

Janee is an AI agent key management tool based on the MCP protocol. It securely stores and injects API keys as an intermediary, enabling agents to call services without touching the original keys. It also provides complete audit logs, access policy control, and session management functions.

A high-performance MCP server implemented in Go language, providing AI agents and applications with the ability to query and access the Redfish API through natural language, enabling intelligent management and monitoring of data center infrastructure.

Yokan Board MCP is a server based on Model Context Protocol that provides a tool interface for AI agents to interact with Yokan Kanban API, supporting comprehensive management of Kanban, columns, and tasks.

A natural language form management system integrating the Google Forms API and CamelAIOrg agents

Pincer-MCP is a security-hardened MCP gateway that protects the API keys of AI agents through a proxy token architecture, ensuring that agents can only use proxy tokens and cannot access real keys. It supports various AI services and GPG signing tools.

The Copilot Studio Agent Direct Line MCP Server is a local MCP server that allows developers to directly interact with Microsoft Copilot Studio Agents in their code editors through the Direct Line 3.0 API, providing functions such as conversation management, message sending, and history retrieval.

Shipxy MCP Server is an open-source maritime location service solution that complies with the MCP protocol, providing APIs for real-time ship tracking, port data, route planning and marine weather, and supporting integration with developers and AI agents.

Laravel Vibes is a powerful Laravel package for implementing the Machine Control Protocol (MCP) server, supporting seamless integration of AI agents. It provides features such as a tool registration system, real-time communication (SSE), and API endpoints, and supports automatic discovery and type safety.

The Pega DX MCP Server is an experimental project aiming to transform Pega Infinity™ applications into an intuitive conversational experience through the Model Context Protocol (MCP). It serves as a bridge between the Pega DX API and the natural language interface, enabling GenAI agents, IDEs, and other MCP-supported tools to interact with Pega Infinity™ applications using simple human-readable commands.

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.

Ref MCP is a Model Context Protocol server that provides AI programming tools or agents with access to documentation for APIs, services, libraries, etc. It is a one-stop solution to keep agents updated on documentation in a fast and token-efficient manner.

The TMF620 MCP Server is a middleware that connects AI agents with the remote TMF620 product catalog management API, providing functions for querying and creating catalogs, product offerings, and product specifications.

The MCP server implementation of Foxit PDF API, providing Python and TypeScript versions, exposes more than 35 operations (such as creation, conversion, editing, security, OCR, etc.) of Foxit PDF services as tools available to AI agents.

An MCP server that connects to the Obsidian knowledge base. Through the REST API plugin, AI agents can perform complex knowledge discovery and analysis tasks, supporting functions such as advanced search, regular expression matching, and full - text retrieval.

The Telegram MCP Server is a server that interacts with the Telegram API through the Model Context Protocol (MCP), allowing AI agents and other MCP clients to operate Telegram features.

A lightweight Model Control Protocol (MCP) server based on Cloudflare Workers for AI agents to interact with the Vercel API

Fused MCP Agents is a Python - based tool that allows users to directly run any Python code through the Claude desktop application, enabling the connection between LLMs, APIs, and executable code.