# AI Agent

A lightweight MCP server that enables AI agents or MCP - compatible assistants to initiate and verify PID (Personal Identity Data) credential presentations through the OIDC4VP protocol, suitable for secure, QR - code - based wallet interactions.

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.

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.

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.

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 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.

A lightweight MCP server based on Python that interacts with local ComfyUI via WebSocket to enable programmatic image generation by AI agents.

GenPilot is a tool that simplifies the creation and management of single/multi - agent systems for generative AI. It supports the MCP protocol and provides terminal and web interfaces for rapid development and deployment.

An AI agent and task management server based on the CrewAI framework, providing functions such as agent creation, task assignment, and workflow execution.

Signal MCP is an integration tool based on signal - cli that enables AI agents to send and receive messages through Signal.

The Superset MCP Integration project enables AI agents to interact with Apache Superset, connecting and controlling Superset instances programmatically.

The Brex MCP Server is a middleware that connects AI agents with the Brex financial platform, providing secure access interfaces for financial data such as accounts, expenses, and budgets, and supporting receipt management and expense query functions.

Implementation of Novu's MCP server for AI agents to interact with the notification system

The Graphiti MCP Server is a multi - project knowledge graph server extension based on the official getzep/graphiti. It supports multi - server single - database configuration, provides a developer - friendly CLI tool, and can build temporary knowledge graphs for each project for AI agents to query through the model context protocol.

MCPJungle is a self-hosted MCP gateway used to centrally manage and proxy multiple MCP servers, providing a unified tool access interface for AI agents.

An HTTP server based on the MCP protocol, providing AGENTS.md knowledge management, structured task tracking, version history recording, and scratchpad functions, supporting multi - user collaboration and AI sub - agent calls.

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.

A conversational AI agent based on the MCP protocol, Express.js, and the Gemini API, supporting automated Twitter posting and dynamic interactions.

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.

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

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.

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.

The MCP Agent Server is a hub platform that connects AI clients with intelligent agents, supporting the creation of multi - specialized agents, combined agent workflows, and the integration of various AI tools and services.

Voicevox MCP Server is a text-to-speech server compatible with VOICEVOX, enabling interaction with AivisSpeech, VOICEVOX, and COEIROINK through the MCP protocol, and supporting text-to-speech in Claude 3.7 proxy mode in editors like Cursor.

FilDOS MCP is an AI agent file storage service based on the Model Context Protocol, supporting decentralized file management on the Filecoin network, including creating folder NFTs, uploading files, and semantic search functions

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.

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.

The Office MCP Server is a Java-based MCP protocol server used to handle requests from AI agents for files such as Word and Excel, supporting various file operation functions.

This project provides two implementations of the MCP server, connecting Claude Desktop with Azure search capabilities and supporting document and web content search through Azure AI agent service (recommended) or direct Azure AI Search integration.

This project is a simplified implementation based on the MemGPT research paper, built using Spring Boot and Spring AI, providing two integration methods: REST services and MCP servers, and including core agent functions and chatbot applications.