The MCP-Framework is a TypeScript-based framework for elegantly building Model Context Protocol (MCP) servers. It provides an out-of-the-box architecture, supports automatic directory discovery of tools, resources, and prompts, and has multiple transmission methods and type-safe features.

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.

Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.

mcp-get is a command-line tool used to discover, install, and manage MCP servers, simplifying the connection between LLMs and external data sources.

ACI.dev is an open-source AI agent tool infrastructure that provides multi-tenant authentication, permission management, and dynamic discovery functions for over 600 pre-integrated tools. It supports calls through a unified MCP Server or a lightweight SDK, simplifying the development of production-level AI agents.

This is a server that implements the MCP code execution mode. Through a single-tool bridge and zero-context discovery mechanism, it reduces the overhead of MCP tool calls from tens of thousands of tokens to about 200 tokens and securely executes Python code in the root container, supporting data science and secure isolation.

MCPSvr is an innovative community directory project for MCP servers, originating from the 5ire project. It aims to help developers discover excellent tools and simplify the process of sharing their own MCP servers.

The dbt MCP Server is a service that provides tools for interacting with dbt. It supports features such as dbt CLI, Semantic Layer, and Discovery API, and can be integrated with multiple clients through configuration.

An MCP server that provides any AI model with the ability to intelligently search for Claude Agent Skills through vector embeddings and semantic similarity, enabling progressive skill discovery and cross-platform skill sharing.

MCPGod is a command-line tool for quickly managing MCP servers, supporting client management, tool discovery and invocation, permission control, and detailed log recording.

Skillz is an MCP server that can convert Claude-style skills into callable tools for any MCP client to use. It discovers skills in the skill directory, exposes skill descriptions and resources, and can run bundled auxiliary scripts.

A NestJS module for easily exposing AI tools, resources, and prompts via the Model Context Protocol (MCP), supporting multiple transport types and automatic discovery and registration functions.

A Node.js client for integrating remote MCP servers to provide tool support for Voiceflow agents, supporting multiple tool discoveries and Claude AI integration.

A proxy tool for centralized management of multiple MCP servers, supporting tool invocation forwarding and automatic discovery.

This project is a bridging tool that connects Claude Desktop to remote servers. It uses Node.js to convert protocols from stdio to HTTP SSE, supporting service discovery and tool calls of the MCP protocol.

A tool for extracting database schemas from PostgreSQL migration files. It discovers schema structures by running migrations on a temporary database and supports multiple schema extraction methods.

An MCP server for performing external reconnaissance activities, providing functions such as DNS enumeration, subdomain discovery, email security analysis, and SSL certificate inspection.

An MCP server based on the Ticketmaster Discovery API that provides search functions for events, venues, and attractions.

The VibeCheck Web testing tool is an AI-driven web testing agent designed to simplify the web testing process for developers. It integrates with AI programming assistants through the MCP protocol, supporting automated test recording, execution, and discovery, and helping developers quickly identify and fix code issues.

MCP Compass is an intelligent discovery and recommendation service that helps users explore and utilize Model Context Protocol (MCP) servers.

Agent MCP Gateway is a Model Context Protocol (MCP) gateway used to aggregate multiple downstream MCP servers and provide policy-based access control. Through its on-demand tool discovery mechanism, it solves the problem of context window waste caused by loading all tool definitions at startup in development environments such as Claude Code, reducing context occupation by over 90%.

This project creates an AI agent based on the n8n platform that can discover and use Model Context Protocol (MCP) server tools through the Nostr network. The agent searches for available tools by querying Data Vending Machines (DVM) in the network, sends requests, and obtains responses, thereby expanding the functionality of the LLM to use MCP tools that are not installed.

MCPRepository is an open - source Next.js project aimed at centrally managing MCP servers and simplifying the discovery, listing, and installation processes of MCP servers.

Octocode MCP is an advanced AI code assistant that provides intelligent search and discovery functions across the GitHub and npm ecosystems. It helps developers quickly understand codebases, analyze project architectures, discover security patterns, and supports enterprise-level security and cross-platform use.

Prometheus MCP Server is a protocol server that enables seamless docking between AI assistants and the Prometheus monitoring system. It supports querying, analyzing, and discovering monitoring metrics in natural language and is compatible with multiple development tool clients.

PodCrawlerMCP is an MCP service that discovers podcast content through web crawlers, helping AI assistants find podcast shows and episodes based on topics.

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.

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.

This is a production-level medical agent server template based on the AOP protocol. It can deploy multiple professional medical agents as MCP tools, supporting the discovery and invocation of various medical analysis agents (such as laboratory data interpretation, ICD-10 coding, treatment plans, drug interactions, imaging triage, and clinical note summarization) through MCP clients, and providing functions such as queue management, dynamic discovery, and batch processing.

An intelligent research assistant integrating Perplexity AI, providing functions such as search, document retrieval, API discovery, and code modernization check, supporting context tracking and efficient API management.

The Firefly MCP server is a TypeScript - based service used to seamlessly integrate with the Firefly platform to achieve discovery, management, and coding of cloud and SaaS resources.

The Earthdata MCP Server is a server implementation based on the Model Context Protocol, designed specifically for interacting with NASA Earthdata, providing efficient geospatial dataset discovery and retrieval tools.

The API-MARKET MCP Server is a model context protocol server that exposes over 200 API endpoints from API-Market as MCP resources, enabling large language models to discover and interact with them through the MCP protocol.

An MCP protocol server that provides a tool for querying the official MCP registry, helping AI assistants and applications to programmatically discover, search for, and retrieve information about published MCP servers.

A Model Context Protocol server that enables LLMs to interact with GraphQL APIs, providing schema introspection and query execution functions, allowing models to dynamically discover and use GraphQL APIs.

An advanced Proxmox Model Context Protocol (MCP) server based on Python, providing a rich set of Proxmox tools, including discovery, lifecycle management, network configuration, snapshot/backup, monitoring metrics, resource pool/permission management, and orchestration functions.

An intelligent icon search and recommendation service based on Cloudflare Workers, achieving efficient icon discovery through multi-algorithm semantic matching

The SOLx402 MCP Server is a tool that enables AI assistants to interact with the x402 payment protocol on the Solana blockchain. It provides functions for discovering and consuming x402 services, managing USDC payments, querying protocol documentation, and accessing Solana development resources through the integrated MCP client.

The Shodan MCP server is a tool that provides Shodan API and CVEDB query services, supporting functions such as network reconnaissance, DNS query, vulnerability tracking, and device discovery, and providing structured data output for platforms such as Claude Desktop.

An intelligent service for automatically discovering and configuring MCP servers. It eliminates the need for manual setup commands and API keys, enabling automatic selection and configuration of MCP servers through a single configuration file.