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.

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.

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

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.

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.

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.

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 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.

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 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.

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 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.

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.

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

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.

OpenAPI-MCP is a proxy server that can dynamically convert OpenAPI specifications into standardized MCP tools, resources, and prompts, simplifying the integration process between AI agents and external APIs.

An experimental Miro MCP server that exposes Miro API endpoints as tools available to AI agents via the FastMCP protocol, supporting operations on multiple Miro board item types.

A production - ready MCP server that provides a unified interface for the WYGIWYH expense tracking API through dynamically generating 75 tools, supporting integration with AI agents and automated platforms

An implementation of the DefectDojo MCP Server, providing API interaction capabilities between AI agents and vulnerability management tools

OpenAPI-MCP is a proxy server that dynamically converts OpenAPI specifications into MCP tools, enabling AI agents to access external APIs without custom encapsulation.

An advanced Obsidian MCP server that interacts with Obsidian through the Local REST API plugin, enabling AI agents to deeply understand the knowledge base structure, links, and content, and providing functions such as file operations, search, note management, and knowledge base analysis.

The Solscan MCP Server is a middleware that provides Solana blockchain data analysis services for AI agents. It connects to the Solscan Pro API through the standard MCP protocol and supports querying of on - chain data such as tokens, transactions, and DeFi activities.

This is a lightweight Model Control Protocol (MCP) server based on Cloudflare Workers, used to connect agents (such as Cursor) with the Neon REST API, and supports developers to extend functions through tools.

A command-line tool that converts OpenAPI services into MCP servers, enabling seamless integration between AI agents and REST APIs.

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.

Webflow MCP is a Node.js-based server that implements the Model Context Protocol (MCP), allowing AI agents to interact with the Webflow API through the Webflow JavaScript SDK.

A service based on the Model Context Protocol (MCP) that provides an interface to ServiceNow, allowing AI agents to access and manipulate ServiceNow data through a secure API and supporting natural language interaction.

Neo N3 Model Context Protocol (MCP) is a standardized interface protocol for the interaction between AI agents and applications and the Neo N3 blockchain. It provides an easy - to - use server implementation, supports direct running via npx, and does not require manual environment configuration. The protocol includes functions such as blockchain information query, wallet management, asset transfer, and smart contract interaction, and additionally provides an HTTP server to expose functions in the form of RESTful APIs.

This project is a collection of OpenRewrite recipes for automatically converting Spring Web REST APIs into Spring AI's Model Context Protocol (MCP) server tools, enabling the migration of traditional APIs to tools accessible by AI agents.

The AI Agent Marketplace Index Search MCP Server provides the function of searching for AI agents by keyword or category, supports monitoring agent performance indicators, and provides API access services.

An unofficial experimental MCP service for HexDocs, based on the search API, providing document search functionality for AI agents such as Claude or Cursor.

Microsoft MCP Server for Enterprise is a publicly previewed server based on the Model Context Protocol that allows AI agents to access Microsoft Entra data through natural language queries and convert them into Microsoft Graph API calls, aiming to help developers and IT administrators integrate organizational data management into AI workflows.

The Ntropy MCP server is a service that enriches bank data and provides a convenient interface call for LLM agents processing financial data through the Ntropy API.

Fetch Browser is a powerful headless browser MCP server designed for AI agents, which can obtain web page content and perform Google searches without API keys. It supports multiple content format conversions and intelligent error handling.

The Backlog MCP Server is a middleware service that enables AI agents to interact with the Backlog API, supporting various functions such as project management, issue tracking, and Wiki editing.

OpenAPI-MCP is a Dockerized MCP server that can automatically generate MCP toolkits from Swagger/OpenAPI specification files, enabling AI agents to access any API without additional coding.

A Telegram weather bot based on the OpenAI Agents SDK that provides real-time weather information for global cities through natural language queries, integrating the Open-Meteo API and MCP protocol for data interaction.