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MCP Use

🚀 mcp-use is a TypeScript library that makes it easy to connect LangChain.js-compatible LLMs with MCP servers. Build powerful, flexible AI agents with dynamic tool access and multi-server support.

A collection of tools that enhance MCP-based workflows with caching, retry logic, batch operations, and rate limiting capabilities.

A comprehensive utilities library for building Model Context Protocol servers, providing standardized tools for response formatting, caching, rate limiting, logging, and WebSocket management.

A lightweight AI agent that fetches real-time weather alerts for any U.S. state using the National Weather Service API.

Implements a Model Control Protocol server integrated with Google Gemini LLM, providing a flexible framework for building AI-powered applications.

Enables AI assistants to interact with WooCommerce stores through 37 specialized tools for managing products, orders, customers, categories, and coupons. Includes n8n webhook integration for automated e-commerce workflows and is optimized for Docker deployment on EasyPanel.

Enables AI agents to programmatically inspect, test, and validate other MCP servers by exposing MCP Workbench capabilities as structured tools. It supports automated test spec generation, execution, and detailed failure analysis to ensure server reliability.

Enables WhatsApp automation through MCP protocol, allowing users to manage sessions, send messages, handle groups/communities, and access contacts through natural language interactions with AI agents.

Enables LLM agents to control a Philips XL30 ESEM microscope by exposing tools for imaging, beam adjustment, and vacuum chamber operations. It features a safety envelope to regulate sensitive parameters like high tension and stage motion.

MCPX is a remote-first MCP aggregator that enables zero-code integration, unified access, and dynamic routing across multiple MCP servers. It offers tool-level access controls, usage visibility, and customization to streamline and secure agentic workflows.

Mcpx Py

Python client library for

Markdown collaboration for AI workflows. Share markdown via public links with four permission levels, inline comments, and real-time sync. AI agents can read docs, review comments, incorporate feedback, and resolve threads. Free, no login.

A protocol server that enables programmatic interaction with Medium's content ecosystem, allowing for intelligent content retrieval and context-aware analysis.

Medical terminology MCP server — ICD-10, MedDRA, RxNorm, CTCAE for AI agents

A multi-agent system that analyzes meeting transcripts to generate summaries, extract key points, and identify actionable tasks through an easy-to-use web interface.

MCP protocol server exposing Mem0 AsyncMemory API for AI agent context retention

Enables AI applications to add, search, update, and delete long-term memories using the Mem0 Memory API, allowing agents to persistently remember user preferences, conversation history, and contextual information across sessions.

Enables AI agents to store and retrieve memories with user-specific context using Mem0, allowing them to maintain conversation history and make informed decisions based on past interactions.

Typed semantic memory for Claude. Memory with opinions, designed for regulated B2B agents.

Persistent note storage for AI agents. Memex lets your assistant save, search, and retrieve memories across sessions — acting as a durable second brain that outlives any single conversation.