# AI Agent

The PostgreSQL MCP Server is an implementation based on the Model Context Protocol (MCP), which allows AI agents to interact with PostgreSQL databases through standardized interfaces.

A Vercel AI SDK documentation query proxy service based on the MCP protocol, providing AI-driven document search and Q&A functions, and supporting integration with MCP clients such as Claude Desktop.

An MCP server based on browser-use that allows AI agents to control web browsers via the SSE or stdio protocol, supporting real-time VNC monitoring and asynchronous task execution.

An MCP system implementation based on C++, including host, client, and server components, supporting interaction with LLM through the command line and calling various tool services.

The Chatvolt MCP Server is a TypeScript-based application designed to extend the capabilities of AI agents by providing a set of tools to enable them to interact with the Chatvolt platform. This project serves as a bridge between AI models and the Chatvolt API, supporting operations such as managing agents, querying data storage, and handling CRM scenarios, thereby automating complex workflows and providing a natural language interface for the Chatvolt platform.

SSB-MCP is an MCP server that provides a standardized interface for AI agents to conveniently access API data from Statistics Norway (SSB).

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.

An MCP server that provides WHOIS query services

A server that implements the Model Context Protocol (MCP), providing access to Exa.ai's search functionality and enabling AI agents to perform web searches through a standardized protocol.

A server that implements the Model Context Protocol (MCP) for interacting with Dust AI agents, supporting real-time streaming responses and various integration methods.

The Solana Agent Kit MCP Server is a standard interface that provides on - chain tools for Claude AI, enabling seamless interaction between AI agents and the Solana blockchain.

Alibaba Cloud Wuying AgentBay is a cloud infrastructure designed for AI Agents, providing one - click configuration tools and an execution environment, supporting rapid integration and server - based operation.

Redis MCP Server is a natural language interface service designed for Redis, supporting AI agents to query and manage Redis data through natural language, integrating the MCP protocol, and providing multiple data structures and search functions.

This project demonstrates how to use the MCP protocol to interact with OpenAI, Azure OpenAI, and GitHub models in Azure container applications. It provides a simple terminal application demonstration to interact with the to - do item agent through the toolset provided by the MCP server.

The Ultimate MCP Server is an AI agent operating system based on the Model Context Protocol (MCP), offering dozens of powerful tool capabilities, including cognitive enhancement, tool usage, and intelligent orchestration. The system exposes functions through standardized MCP tools, enabling advanced AI agents to access a rich tool ecosystem and specialized services while optimizing costs, performance, and quality.

adb - mcp is a proof - of - concept project aiming to provide an interface for LLMs through the MCP protocol to create an AI agent for controlling Adobe tools (such as Photoshop and Premiere). This project includes the MCP server, Node command proxy server, and Adobe application plugins, supporting natural language instruction operations on Adobe software and suitable for image and video editing automation.

CereBro.Unity is a model-agnostic AI agent wrapper based on CereBro, supporting the Model Context Protocol (MCP), allowing developers to write tools that can be used across AI models.

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.

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.

A WhatsApp MCP server based on TypeScript and the Baileys library that connects personal WhatsApp accounts to AI agents to enable functions such as message search and sending.

MCP Server DevOps Bridge is a bridge project connecting DevOps tools and AI assistants, providing a unified natural language interface, supporting cross - platform integration and autonomous agent workflows, including the integration of platforms such as Azure DevOps, GitHub, and Slack, as well as an intelligent memory system.

The Ultimate MCP Server is an AI agent operating system based on the Model Context Protocol (MCP), providing dozens of powerful tool capabilities, including intelligent task delegation, document processing, browser automation, Excel operations, etc. It achieves cognitive enhancement and complex task orchestration of AI agents through standardized MCP tools.

An AI agent project based on the MCP protocol, providing user management and message resource access functions, supporting interaction through REST API or MCP client.

This is a Python project based on the SSE implementation of the MCP protocol, including server and client components. It invokes LLM services through the OpenRouter.ai platform and provides book search functionality.

The Bazel MCP Server is a local service that provides AI agents supporting the MCP protocol with access to the functions of the Bazel build system. It solves the problem that Bazel cannot be used in the MCP environment due to the lack of command-line tools or incorrect environment configuration. It provides core functions such as building, querying, and testing, and supports dynamically setting the workspace path.

Integration of Spring Boot applications with the Goose AI agent to expand AI capabilities through the MCP protocol

AutoGPT is an open - source AI agent framework designed to enable everyone to easily build and use AI agents. The project provides the Forge toolchain to simplify the development process, including benchmark testing, user interface, and CLI tools. It supports compatibility through the Agent Protocol standard and has an arena leaderboard to encourage developers to optimize agent performance.

Email MCP is a simple Model Context Protocol server that adds email capabilities to AI agents, supports POP3 and SMTP protocols, and provides functions for sending, receiving, and managing emails.

The Unified MCP Tool Graph is a research - driven project that provides an intelligent infrastructure layer for large language models (LLMs) and agent AI systems to dynamically retrieve the most relevant tools by aggregating and structuring tool APIs from different MCP servers into a centralized Neo4j graph database.

automcp is a tool that can convert existing AI agent frameworks (such as CrewAI and LangGraph) into MCP protocol servers, enabling standardized interface access. It supports rapid deployment, multi - framework adaptation, and provides two transmission modes: SSE and STDIO.