# AI agent

An AI agent server based on the Model Context Protocol, providing system prompt and tool management functions

The MCP iCal Server is a macOS calendar management tool based on an AI agent. It enables natural language interaction through a single interface and supports functions such as event creation, schedule query, and intelligent update.

Create an intelligent agent based on OpenAI to automatically generate Twitter post content.

The Azure AI Agent Service MCP Server integrates the functions of Azure AI Foundry, supports connecting to existing Azure AI agents, and provides capabilities such as security authentication, session memory, and multi-tool invocation.

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 LINE Bot MCP Server is a server that implements the Model Context Protocol (MCP), used to connect an AI agent to a LINE official account and supports sending text and flexibly laid-out messages.

Intelligent product search system based on MCP service and OpenAI Agent SDK

This project implements an adapter between Langchain and the Box MCP server, integrating AI capabilities through tools and agents, supporting dynamic tool loading, creating React-style agents, and providing a friendly console interaction interface.

MCP BatchIt is a batching server for MCP tool calls. By aggregating multiple MCP tool calls into one request, it significantly reduces the communication overhead and token consumption of AI agents.

The Ultimate MCP Server is an AI agent operating system based on the Model Context Protocol (MCP), providing a rich toolset and intelligent task delegation function, supporting multi-LLM provider integration, optimizing cost and performance, and automating complex workflows.

MCP Server is an AI agent tool designed specifically for macOS that improves work efficiency through system-level control, is compatible with MCP models, and integrates AI functions.

This is an MCP server implementation project based on SearXNG, providing privacy - protected search capabilities for AI agents. The project is deployed through Docker containerization, supports two transport protocols, SSE and Stdio, and can be easily integrated into MCP - compatible clients.

AI agents interact intelligently through the MCP server and use the model context protocol tool to execute operations input by the user.

The ThingsBoard MCP Server is a service that provides a natural language interface for LLMs and AI agents, allowing interaction with the ThingsBoard IoT platform through natural language commands to achieve functions such as device management, data query, and analysis.

A Django application that implements a Firebase Model Context Protocol (MCP) server, enabling AI agents to interact with Firebase services through a standardized protocol. It provides 14 Firebase tools covering authentication, database, and storage functions, supporting quick testing and full integration.

BoostSecurity MCP is a security tool for protecting the AI agent development workflow. It prevents supply chain attacks by verifying the security of third - party software packages and supports multiple programming languages and package ecosystems.

BNBChain MCP is a server based on the Model Context Protocol (MCP), providing secure interaction between AI agents and applications with the Binance Smart Chain (BSC) ecosystem. It integrates functions such as wallet management, token transfer, PancakeSwap decentralized exchange operations, Meme token trading, and GoPlus security analysis. It is developed using TypeScript and supports seamless integration with Claude Desktop.

Xcatcher is a high - performance X (Twitter) data scraping service based on the remote MCP protocol. It supports pay - as - you - go with USDC on the Base and Solana chains via the x402 protocol, provides OpenAPI specifications for easy integration of AI agents, and focuses on the rapid collection of the latest posts of a large number of users.

Templonix Lite is a locally - prioritized personal AI agent infrastructure that extends the functions of Claude Desktop through the MCP protocol, providing local memory, knowledge base, dynamic workflows, and integration of various tools.

The Baozi MCP Server is a tool that provides trading functions in the Solana prediction market for AI agents. It includes 68 tools, supporting functions such as market creation, betting, claiming, and whitelist management. It uses a secure mode of user-signed transactions.

CamoFox MCP is an AI-driven anti-detection browser automation tool that provides browser control functions for AI agents through the MCP protocol, supporting navigation, interaction, data extraction, and multi-tab workflows, and built-in anti-detection mechanisms.

This is an AI intelligent agent project that integrates the Kali Linux Docker environment and the local Windows host, providing unrestricted security testing and control capabilities.

The privateGPT MCP Server is a server implementation based on the Model Context Protocol (MCP), allowing users to interact with privateGPT through an MCP client and supporting functions such as chat, knowledge source management, and permission control.

TEN Agent is a multi-functional AI agent framework that integrates real-time vision, voice recognition, and screen sharing detection capabilities, and supports rapid expansion and development.

An AI agent server based on the Model Context Protocol (MCP), providing system prompt management and tool expansion functions, supporting the creation, management, and version control of AI agents.

MemCP is an extensible memory MCP server designed for AI programming agents. It is extended based on Zep AI's Graphiti project, supports building, maintaining, and querying temporal knowledge graphs, and provides entity extraction, persistent storage, and support for multiple transport protocols.

A browser automation service based on Puppeteer and Steel, providing web page interaction capabilities for LLMs

The Dumpling AI MCP Server is a model context protocol service integrating multiple functions, providing capabilities such as data scraping, content processing, knowledge management, AI agents, and code execution, and supporting a rich set of API interfaces and tools.

MCPlite is a Python MCP service framework similar to FastAPI, which allows developers to easily define and expose server-side capabilities (such as tools, functions, or resource access) for programmatic calls by AI agents in host applications.

Demonstrate connecting the Keboola Registry API to the MCP server through the CrewAI wrapper, enabling AI agents to call registered skills.