MCP-Use offers a unified platform for building and deploying Model Context Protocol (MCP) agents. It aggregates multiple MCP servers through a single endpoint and provides an SDK for seamless integration of diverse AI models, simplifying agent development and management for AI teams.
Funding
Funding not disclosed
Founders
Product
Problem
Managing and deploying Model Context Protocol (MCP) agents can be complex, requiring the aggregation of multiple MCP servers and the integration of various AI models. This fragmentation leads to inefficient workflows and a lack of centralized control for development teams.
Solution
MCP-Use provides a unified platform for building and deploying MCP agents by aggregating MCP servers through a single endpoint, simplifying management and deployment. The platform's Software Development Kit (SDK) enables developers to seamlessly connect to remote server pools and leverage diverse AI models for agent creation. A managed gateway handles routing, authentication, and load-balancing for all MCP servers, ensuring robust, production-grade observability and operational efficiency. This approach streamlines the development lifecycle for AI-powered applications utilizing the MCP framework.
Target Audience
The primary customers are AI developers and engineering teams building applications that leverage the Model Context Protocol, seeking to simplify agent deployment and server management.
Features
- Unified platform for building and deploying MCP agents.
- Single endpoint aggregation for multiple MCP servers.
- SDK for connecting to remote server pools and integrating various AI models.
- Managed gateway for routing, authentication, and load-balancing of MCP servers.
- Built-in OAuth and Access Control Lists (ACLs) for enhanced security.
- Production-grade observability with integrated metrics and tracing.
- Support for deploying managed MCP servers, sandboxing local VMs, and proxying third-party servers.
- Python and JavaScript SDKs for agent creation and server interaction.