Neura Market
mcp-use logo

mcp-use

Paid

Build and deploy MCP apps and servers

Developer ToolsContact
#youtube#twitter
Inputs: textOutputs: text
Type
Saas
Company
mcp-use
Visit Website GitHub
LinksXLinkedIn

About 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

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.

Key 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)

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

Key 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)

Pros & Cons

Pros
  • Open-source SDK with full MCP framework for faster development
  • Multi-client support out of the box (ChatGPT, Claude, Gemini, Copilot, coding agents)
  • One-command scaffold and auto-deploy simplifies deployment pipeline
  • Cloud Inspector enables testing without needing a live LLM
  • Analytics and observability help catch production regressions early
  • Enterprise-grade pricing with free tier available
Cons
  • Tightly coupled to Manufact cloud for most deployment features
  • Learning curve for developers new to MCP protocol
  • Pricing can become expensive for high-volume usage once credits are exhausted

Best For

Building and deploying custom AI agents with easeSpinning up and aggregating MCP servers through a single endpointConnecting to remote server pools for AI agent operationsCreating AI products (e.g., with Claude, ChatGPT) using MCP clientsManaging all MCP infrastructure from a centralized control plane

Alternatives to mcp-use

Chatgpt.js

Lightweight and Powerful Client-Side ChatGPT Library

RegEx Generator

Effortlessly generate regular expressions with our user-friendly RegEx generator.

Dynaboard AI

Accelerate Software Development with Dynaboard AI

Codeium

Empower Your Coding Abilities with Codeium

Coderabbit

Transform Code Reviews with CodeRabbit's AI-Powered Tools

Point-e

Boost Your Development Workflow Using OpenAI's Point-E on GitHub

FAQ

What is mcp-use?
mcp-use is an open-source SDK and cloud platform for building, deploying, and monitoring MCP (Model Context Protocol) apps and servers. It provides a fullstack framework that works with AI surfaces like ChatGPT, Claude, Gemini, and coding agents.
What is Manufact Cloud?
Manufact Cloud is the managed hosting and deployment platform for MCP servers built with the mcp-use SDK. It offers auto-deployment from GitHub, preview per branch, custom domains, analytics, and compliance checks for marketplaces.
Does mcp-use support multiple AI models?
Yes, mcp-use allows testing the same MCP server against different models (e.g., GPT, Claude, Gemini) through the Cloud Inspector. You can build once and deploy to ChatGPT, Claude, and Gemini.
Is there a free plan?
Yes, there is a Free plan that includes $5 in monthly credits, 2 projects, 7 days analytics retention, and 1 team member. Pay-as-you-go pricing applies once credits are used.
Can I use my own domain?
Yes, the platform supports custom domains with automatic SSL handling for deployed MCP servers.
How do I get started?
You can start by installing the mcp-use SDK via npm or pip, then scaffold your project with 'npx create-mcp-use-app' or equivalent. Connect your GitHub repo for auto-deployment.