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mcp-use – Central platform for MCP agents, server control and AI extension🏡

mcp-use – Central platform for MCP agents, server control and AI extension🏡

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🧠 What is mcp-use?

mcp-use is a platform that enables developers and businesses to build and operate MCP agents with minimal effort. The platform provides a library, a gateway, and a collection of MCP servers that are easy to connect to. With mcp-use, you can deploy, manage, or add your own servers—all through a unified interface.

The system ensures that any external tools, data sources or APIs that your AI models should work with can be easily integrated, saving time during setup and deployment.


🔍 Features and Benefits

  • 🧩 Deploy individually or collectively – You can use fully managed MCP servers, integrate your own VMs or services, or connect third-party servers via the gateway.

  • 🚪 One endpoint for all servers – mcp-use provides a gateway that routes traffic, authenticates, loads, and monitors servers. This gives you control over security, access, and performance.

  • ⚙️ SDKs and tools – Libraries for Python and JavaScript are available so developers can quickly build agents. Simply install packages, use sample code, and get started.

  • 📊 Production-ready – authentication, access control, monitoring, metrics, and tracing are built in. This allows you to start working immediately in production environments.

  • 🔒 Flexible hosting – You can use hosted (“managed”) servers, provide short-term (“short-lived”) servers, host in your own data center or integrate external services.


🌍 Vision and Values

mcp-use aims to remove barriers to AI integration. The goal is to make the technology available in such a way that developers can focus on ideas and applications instead of infrastructure problems 💡.

The platform prioritizes security, openness, modularity, and ease of use. The goal is to deploy AI agents wherever they are needed, with minimal effort and maximum adaptability.


🔧 Usage options

  • Build production agents that access databases, documents, or APIs.

  • Interactive chat features that utilize context from external sources

  • Automation of workflows through tools such as file access, web retrieval, and computer services.

  • Prototype development without a complex setup

  • Team environments where many MCP servers are managed, with access rights, monitoring, and metrics.


📝 Brief technical details & features

  • Supports Python and JavaScript SDKs for agent building

  • "MCP Gateway" acts as a control center: routing, authentication, caching, monitoring

  • Hosting options: fully managed, short-term provisioning, self-hosted or third-party servers can be integrated.

  • Open source components are available, and the community is active.

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