mcp-use

mcp-use

mcp-use is a platform and open source library for building, deploying, and managing MCP agents and servers with zero friction. It enables developers to spin up, aggregate, and route MCP servers through a single endpoint, providing a seamless way to create AI agents and integrate various tools.

mcp-use is ai infrastructure tools software teams evaluate for software & gaming. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Contact for pricing API 70/100
#336 in AI Agents (336 tools)
Added 0 year ago
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Quick Overview

Best for: Software & Gaming

What it does

AI Infrastructure Tools software for decision-makers comparing workflow fit and alternatives.

Best fit

Software & Gaming

Pricing snapshot

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mcp-use

mcp-use is designed to simplify the deployment and management of MCP agents and servers by providing a unified gateway and SDKs for Python and JavaScript. It allows developers to spin up MCP servers, aggregate them through a single endpoint, and create AI agents with minimal setup. The platform supports hosted, ephemeral, on-premises, and third-party MCP servers, all managed through a centralized control plane. With built-in authentication, load balancing, metrics, and tracing, mcp-use offers production-grade observability and security from day one. It is ideal for developers and organizations looking to build AI-powered applications with flexible server management and integration capabilities.

Open source SDK and cloud infrastructure to help development teams quickly build and deploy custom AI agents with MCP servers, providing a unified control plane for managing MCP servers, configs, and access.

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Key Features

Single Endpoint Aggregation

Aggregate multiple MCP servers through a single endpoint for simplified access and management.

Open Source SDKs

Provides Python and JavaScript libraries to easily integrate and interact with MCP servers.

Managed MCP Gateway

Routes, authenticates, and load-balances MCP servers with built-in OAuth, ACLs, metrics, and tracing.

Flexible Server Deployment

Supports fully managed cloud servers, hosted short-lived servers, local VMs, and third-party MCP servers.

AI Agent Creation

Create AI agents with any model provider and tools using minimal code and zero setup time.

Production-grade Observability

Includes monitoring, metrics, cache, memory management, and tracing for robust server management.

Community Support

Active developer community for help, project sharing, and inspiration.

Pricing

Claim this listing to add current pricing tiers.

Use Cases

AI Agent Development

Build and deploy AI agents that interact with multiple MCP servers and tools seamlessly.

Server Aggregation and Routing

Aggregate and route requests to multiple MCP servers through a single managed gateway endpoint.

Managed and Self-hosted MCP Server Deployment

Deploy MCP servers in the cloud, on-premises, or proxy third-party servers with centralized control.

Integration with External Services

Connect MCP agents to external remote services and third-party MCP servers for extended functionality.

Integrations

Anthropic Claude

Integration with Anthropic's Claude model for AI agent interactions.

Google Drive

Supports integration with Google Drive as a tool for MCP agents.

Slack

Integration with Slack for communication and tool usage.

Third-party MCP Servers

Proxy and integrate third-party MCP servers behind the MCP gateway.

Benefits

Simplifies MCP server deployment and management with a unified gateway and control plane.
Enables rapid AI agent creation with minimal code and zero configuration.
Provides production-grade security, authentication, and observability out of the box.

Limitations

Pricing details and plans are not publicly available on the website.
Limited documentation on advanced customization and scaling options.

Frequently Asked Questions

What is mcp-use?
mcp-use is a platform and open source library for building, deploying, and managing MCP agents and servers with a unified gateway and SDKs.
How do I create an AI agent with mcp-use?
Install the mcp-use SDK, connect to your MCP server pool using MCPClient, create an MCPAgent with your model provider, and run queries through the agent.
Can I deploy MCP servers on-premises?
Yes, mcp-use supports hosted, ephemeral, on-premises, and third-party MCP servers managed through a centralized control plane.
Does mcp-use provide authentication and security?
Yes, the MCP gateway includes built-in OAuth, ACLs, and production-grade security features.

Getting Started

  1. 1 Install the mcp-use library via pip or npm.
  2. 2 Use the MCPClient class to connect to your MCP server pool.
  3. 3 Create an MCPAgent with your preferred model provider and tools.
  4. 4 Run queries through the agent to interact with MCP servers and tools.

Support

Community

Join the MCP community for help, project sharing, and inspiration.

Documentation

Open source libraries and usage examples available on GitHub.

API

Available: Yes
Documentation:

Open source SDKs available on GitHub for Python and JavaScript with example usage.

Rate Limits:

Not specified in the available information.

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