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.

An MCP server built on Spring AI, providing query functions for SpringOne conference agendas and speaker information, and supporting AI models such as Claude to access real - time conference data.

Think MCP is a project that implements an MCP server, providing the 'think' tool to support AI agents in performing structured reasoning in complex tasks, inspired by Anthropic's research. This tool helps AI process information, backtrack, or adhere to strategies by recording the thinking process, and is suitable for scenarios such as tool output analysis, policy-intensive environments, and sequential decision-making.

The PDF Reader MCP service provides AI agents with a secure and flexible function to extract content from PDF files, including text, metadata, and page count information. It supports local and remote PDF files and is easy to integrate into the MCP environment.

An MCP diagnostic tool developed specifically for Trae IDE, which can obtain real-time error, warning, and prompt information in the project, helping the AI Agent provide accurate code analysis and repair suggestions.

Time-MCP is an MCP server that provides current time and date information for AI agents.

AEMET-MCP is a tool that integrates with the Spanish Meteorological Agency's API through the MCP protocol, allowing users to query historical climate data and weather information from meteorological stations across Spain from clients such as Claude AI.

An MCP server implementation that connects an AI agent with Google Flights data, supporting flight information query, cheapest option search, time filtering, and best recommendations.

MCP-Odoo is a middleware that connects the Odoo ERP system and AI agents. Through the standardized Model Context Protocol (MCP) interface, AI can access and operate partner information and accounting data (such as invoices and payments) in Odoo, and perform tasks such as financial record reconciliation.

quiet - shell is an MCP server that reduces the context consumption of AI agents by intelligently filtering shell command output, focusing on displaying errors, failures, and summary information, and improving development efficiency.

This project is an MCP server that provides WHOIS query services, allowing AI agents to directly query the registration information of domain names, IPs, top-level domains, and autonomous systems without manually operating a browser.

The Yushan Data API service provides enterprise data query functions. Through a server compatible with the MCP protocol, it realizes multiple enterprise information queries, including basic information, overseas investments, change records, etc., and supports quick access to intelligent agent assistants.

The Nano Currency MCP Server is an MCP protocol server that provides Nano cryptocurrency transaction functions for AI agents, supporting sending Nano, querying account and block information.

The Zhiyan Platform is an open - source platform for agent communication and development, aiming to help AIGC enthusiasts better understand and develop Agents. The platform provides a variety of default Agent functions, such as email sending, information search, weather query, paper search, express delivery query, and document retrieval, and supports users to customize tools. The project supports quick startup and Docker deployment, and plans to add a tool store and automatic build functions in the future.

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.

Graphiti MCP Server is an enhanced knowledge graph framework specifically designed for AI agents to build and query time - aware knowledge graphs in dynamic environments. It exposes core functions through the MCP protocol, supports continuous integration of user interactions, enterprise data, and external information, and provides capabilities for incremental updates, efficient retrieval, and precise historical queries.

AEMET-MCP is a tool that integrates with the Spanish Meteorological Agency API through the MCP protocol, allowing users to query historical climate data and weather information from meteorological stations across Spain from compatible clients such as Claude AI.

The Tampere Bus MCP Server provides tools for AI agents to access real-time bus information, including functions such as bus stop search and arrival time query.

The EDUCHAIN Agent Kit provides functions for interacting with EDUCHAIN, including querying token/pool information, wallet operations, token exchanges, and arbitrage opportunity detection, and supports automated trading through the SailFish DEX.

This project demonstrates the security risks of using AI agent tools through extendable-agents, especially the potential leakage of sensitive information caused by tool sharing under the MCP protocol, and provides security usage suggestions.

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.

ChainGPT MCP is a Model Context Protocol server that can integrate ChainGPT features into AI agents and provide information query services such as cryptocurrency news, prices, and market trends.

The Godot Docs MCP server is specifically designed for searching the official documentation of the Godot engine, helping AI agents obtain the latest documentation information

A VMware Fusion virtual machine management MCP server based on FastMCP, providing functions such as virtual machine listing, information query, and power operations, and supporting integration with LLM and agent frameworks.

Claude Crew is a tool for creating autonomous coding agents, focusing on maximizing cost - effectiveness through efficient use of the context window, prioritizing operation verification through unit tests, and providing project - optimized MCP and context information.

mcp - searxng is an MCP server example designed for AI agents, which implements the external information search function through the open - source meta - search engine SearXNG. The project demonstrates how to integrate SearXNG and Microsoft's markdownify tool to convert web page content into Markdown - formatted text and communicate with MCP clients via the SSE protocol.

An MCP server for interacting with the Open eClass platform, supporting UoA's SSO authentication system, enabling AI agents to log in, obtain course information, and perform basic operations.

Fess MCP Server is a middleware server used to integrate with the Fess search engine. By configuring MCP clients (such as Claude for Desktop), agents can use Fess to obtain information.

This project provides an MCP toolkit and sample agents for obtaining public information from Data Commons, including the implementation of the MCP server and a quick - start guide.

The BrianKnows MCP server is a protocol service that connects Claude to the blockchain knowledge base, providing functions such as API status detection, blockchain information search, and intelligent agent dialogue.

This is an MCP server that provides information on the Dominican Congress, including data access functions such as legislative agendas, legislator activities, and new bills.

This project is an MCP server tool designed to enable AI agents to search for content and information on external websites through the SearXNG service.

The ENS MCP Server is a service for resolving, analyzing, and contextualizing ENS domain name activities, providing human - readable identity insights for Web3 agents. It supports resolving ENS domain names to Ethereum addresses, obtaining detailed domain name information, and retrieving domain - related event histories.

This project demonstrates an example of an AI agent - managed laboratory information management system (LIMS) based on the MCP protocol. Through the interaction between simulated experimental instrument tools and the database, it completes the complete workflow data processing of samples from registration, preparation to analysis.

Overview: The MCP server is an intermediate layer that informs the AI agent of the currently available services, APIs, and data sources. It enables the AI agent to decide whether to call a certain service based on the information provided by the Server and execute functions through Function Calling.

CodeSynapse is a server based on the MCP protocol. By integrating the LSP protocol, it provides rich semantic information of the codebase for LLM code agents, supports multiple languages, and maintains a language server configuration registry.

An experimental weather information scraping project based on the MCP protocol, using OpenAI's lightweight LLM and FastAPI to obtain and structure real-time weather data from open web sources, exploring the ability of LLM as an intelligent agent to process unstructured web data.

This project demonstrates how to combine LlamaIndex with MCP tool integration to build an intelligent agent capable of real-time weather information query through the OpenWeather API.

The Product Hunt MCP Server is a plug-and-play MCP protocol service that connects the Product Hunt API with any LLM or agent that supports the MCP protocol to obtain information about posts, collections, topics, users, etc.

The Crossref MCP Server is a bridge service that connects AI assistants with the Crossref academic database through the Model Context Protocol (MCP), supporting the search for papers, acquisition of metadata, and information on journals and funding agencies by DOI, title, or keywords.