The MCP Gateway is an advanced AI infrastructure middleware solution that acts as a proxy gateway for model context protocol (MCP) servers, providing unified interfaces, sensitive information filtering, and lifecycle management functions.

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.

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.

The plugged.in MCP Proxy Server is a middleware that aggregates multiple Model Context Protocol (MCP) servers into a unified interface, provides advanced management functions through the plugged.in ecosystem, supports multiple MCP clients, and implements intelligent request routing.

An XRP Ledger service server based on the Model Context Protocol (MCP), providing a unified interface for AI agents to interact with the XRPL MainNet, TestNet, and DevNet, supporting various blockchain services such as account management, token operations, NFT functions, DID, and AMM.

The OpenAPITools SDK is a multi - AI platform tool management library that provides a unified interface to support the integration and execution of tools for models such as Claude, GPT, and LangChain, and supports both local and API usage modes.

The plugged.in App is a comprehensive web application for managing Model Context Protocol (MCP) servers, providing a unified interface to discover, configure, and use AI tools across multiple MCP servers. It supports multi - workspaces, an interactive testing platform, tool management, resource discovery, etc., can be integrated with various MCP clients, and supports self - hosted deployment.

mcp-nexus is a Multi-Provider Model Context Protocol (MCP) server that integrates the Tavily and Brave Search search APIs, providing a unified tool interface, API key rotation management, a Web management interface, and usage monitoring functions.

LLM Bridge MCP is a standardized interface service that supports unified calling and management of multiple large language models.

Graphiti MCP Pro is a memory storage MCP service and management platform enhanced based on the Graphiti framework, providing asynchronous parallel processing, task management tools, unified configuration management, broader AI model compatibility, and a comprehensive visual management system.

PineMCP is a professional Model Context Protocol server that provides a unified and secure interface for multi-database access, supports multiple database types, and includes functions such as connection management, schema tools, data import/export, and query analysis.

A programming rule management server based on the Model Context Protocol (MCP) for unified management and provision of programming specification guides, supporting multiple storage methods and categorical organization.

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 Targetprocess MCP Server is a standard interface based on the Model Context Protocol (MCP), enabling AI assistants to interact with the Targetprocess project management platform through a unified interface, providing functions such as data query, creation and update, and model exploration.

An AI agent forwarding solution based on the MCP protocol that enables unified HTTP interface management of large model services, supporting multi-MCP Server integration and rapid deployment.

One API is an open-source project that provides a unified access interface to various large models through the standard OpenAI API format. It supports multiple large models and third-party proxy services, and has functions such as load balancing, token management, and user grouping. It is suitable for various deployment scenarios.

Go-MCP is a Go library that implements the Model Context Protocol (MCP), providing core functions for AI service development, including prompt, tool, and resource management, and supporting multiple transport protocols and unified response handling.