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 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.

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.

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.

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.

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.

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 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.

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.

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.

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 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.

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.

Lightning Wallet MCP is an MCP server and CLI tool that provides Bitcoin Lightning Network wallet functionality for AI agents, supporting L402 and X402 payment protocols. It allows AI agents to make Lightning Network payments, receive funds, manage the budgets of multiple sub-agents, and interact with paid APIs.

An open-source MCP server that allows AI agents to make Bitcoin payments via the Lightning Network, access L402 paid APIs, manage wallets, and track expenses, supporting multiple Lightning Network wallets.

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.

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 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

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.

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.

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

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.

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.

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.

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 is an MCP server for Autodesk Revit, which enables the interaction between AI agents and Revit software through natural language control. It provides more than 100 API tools, supporting functions such as document management, model creation, and view operations.

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

Search Stack is a web search and scraping middleware layer specifically designed for AI Agents, providing a unified API for multi-engine search, anti-crawler rendering, Cookie management, and main content extraction. It aims to solve problems such as quota limitations, anti-crawler interception, and lack of login states that AI encounters when accessing web pages.

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.

ComfyUI-AnimaTool is a tool that enables AI Agents to directly generate 2D anime - style images and display them natively in the chat window. It connects ComfyUI through the MCP protocol or HTTP API and supports functions such as structured prompts, multiple aspect ratios, batch generation, and LoRA loading.