mcp-use: Open-Source Platform for AI Agents and MCP Servers

baoshi.rao

Introduction

mcp-use is an open-source platform designed to help development teams build and deploy custom AI agents using MCP (Model Context Protocol) servers. It provides a comprehensive suite of tools, including an SDK, cloud infrastructure, and a managed gateway, to streamline the process of creating and managing AI agents.

What is mcp-use?

mcp-use is a platform that offers devtools and cloud infrastructure to facilitate the quick development and deployment of AI agents. It includes:

Open-source SDK for building custom AI agents
Cloud infrastructure for deploying and managing MCP servers
Managed MCP Gateway for routing, authentication, and load balancing
Registry for discovering community-built MCP servers
Support for various deployment options (cloud, VM, third-party)

How to Use mcp-use?

To get started with mcp-use:

Install the SDK via pip install mcp-use or npm install mcp-use.
Use the SDK to create AI agents by connecting to MCP servers.
Deploy MCP servers in the cloud, local VMs, or proxy third-party servers.
Manage all infrastructure from a centralized dashboard.

Core Features

Open-source SDK: Build custom AI agents with ease.
Cloud Infrastructure: Deploy and manage MCP servers efficiently.
Managed Gateway: Handle routing, authentication, and load balancing.
Registry: Discover and use community-built MCP servers.
Flexible Deployment: Supports cloud, VM, and third-party services.

Use Cases

Building and deploying custom AI agents.
Spinning up and aggregating MCP servers through a single endpoint.
Connecting to remote server pools for AI agent operations.
Creating AI products using MCP clients (e.g., Claude, ChatGPT).
Managing all MCP infrastructure from a centralized control plane.

FAQ

What is mcp-use? A platform for building and deploying AI agents using MCP servers.
What is the mcp-use SDK? A toolkit for creating AI agents and connecting to MCP servers.
What is the MCP Gateway? A managed service for routing, authentication, and load balancing.
Can I deploy my own MCP servers? Yes, mcp-use supports various deployment options.
How to get support? Connect with the community via LinkedIn, Twitter, or GitHub.

Analytics

Monthly Visits: 21.3K
Avg. Visit Duration: 00:00:34
Top Regions: United States (69.46%), Taiwan (7.84%), India (7.57%)
Traffic Sources: Direct (66.18%), Referrals (28.50%), Search (3.87%)

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