mcp-use is an open-source platform providing devtools and cloud infrastructure to help dev teams quickly build and deploy custom AI agents with MCP (Model Context Protocol) servers.

What is the mcp-use SDK?

The mcp-use SDK is an open-source library that allows developers to turn any MCP call into an AI agent. It has over 5,000 GitHub stars and 100k downloads, trusted by engineers at NASA, Cisco, NVIDIA, etc.

What is the MCP Gateway?

The managed MCP gateway routes, authenticates, and load-balances all your MCP servers through a single endpoint. It offers built-in OAuth, ACLs, metrics, and tracing for production-grade observability.

Can I deploy my own MCP servers with mcp-use?

Yes, you can deploy fully managed MCP servers in the mcp-use cloud, sandbox local VMs on demand, or proxy third-party servers behind the gateway, all managed in one dashboard.

How can I get support or connect with the mcp-use community?

You can join their Discord community for developers building with MCP and mcp-use, or follow them on social media like Github, LinkedIn, and X.

mcp-use: Open-source platform for building and deploying AI agents and MCP servers.

Name: mcp-use
Rating: 5 (74 reviews)
Author: toolify

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Introduction:

Open-source platform for building and deploying AI agents and MCP servers.

Added on:

Aug 14 2025

Monthly Visitors:

5.1K

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mcp-use Product Information

What is mcp-use?

mcp-use is an open-source platform that provides devtools and cloud infrastructure to help development teams quickly build and deploy custom AI agents using MCP (Model Context Protocol) servers. It offers an SDK for creating AI agents, a registry for discovering community-built servers, and a managed gateway for routing, authenticating, and load-balancing MCP servers. The platform aims to simplify the process of building, discovering, and deploying MCP servers and AI agents, supporting various deployment environments including cloud, local VMs, and third-party services.

How to use mcp-use?

Users can get started by installing the mcp-use SDK via `pip install mcp-use` or `npm install mcp-use`. With the SDK, developers can create AI agents by connecting to MCP servers, using any model provider (e.g., Claude). The platform allows spinning up and aggregating MCP servers through a single endpoint. Users can deploy fully managed MCP servers in the mcp-use cloud, sandbox local VMs, or proxy third-party servers behind the gateway, all managed from a single dashboard. An AI-powered chat interface is also available for instant testing and interaction with MCP agents.

mcp-use's Core Features

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)

mcp-use's Use Cases

Building and deploying custom AI agents with ease

Spinning up and aggregating MCP servers through a single endpoint

Connecting to remote server pools for AI agent operations

Creating AI products (e.g., with Claude, ChatGPT) using MCP clients

Managing all MCP infrastructure from a centralized control plane

FAQ from mcp-use

What is mcp-use?
What is the mcp-use SDK?
What is the MCP Gateway?
Can I deploy my own MCP servers with mcp-use?
How can I get support or connect with the mcp-use community?

mcp-use Company

mcp-use Company name: mcp-use, Inc. .
mcp-use Login

mcp-use Login Link: https://mcp-use.com/login
mcp-use Linkedin

mcp-use Linkedin Link: https://www.linkedin.com/company/mcp-use
mcp-use Twitter

mcp-use Twitter Link: https://x.com/mcpuse
mcp-use Github

mcp-use Github Link: https://github.com/mcp-use/mcp-use

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