by SalesforceAIResearch · MCP Server · ★ 578
MCP-Universe 🎉 Latest Updates 📊 MCPMark Evaluation - MCP-Universe now supports evaluating the MCPMark tasks 🚀 MCP+ - Agentic wrapper on MCP clients which reduce token costs by up to 75% 🔬 Deep Research Agent - Scale the Width of Deep Research Agents with parallel tool calling, improving performance and efficiency What is MCP-Universe? MCP-Universe is a comprehensive ecosystem for building, optimizing, and evaluating AI agents that interact with the Model Context Protocol (MCP).
| Stars | 578 |
| Forks | 79 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 55.782/100 |
| Open Issues | 27 |
| Last Updated | 2026-04-07 |
| Created | 2025-05-02 |
| Platforms | mcp, python |
| Est. Tokens | ~278k |
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MCP-Universe is MCP-Universe is a comprehensive framework designed for RL training, benchmarking, and developing AI agents for general tool-use.. It is categorized as a MCP Server with 578 GitHub stars.
MCP-Universe is primarily written in Python.
You can find installation instructions and usage details in the MCP-Universe GitHub repository at github.com/SalesforceAIResearch/MCP-Universe. The project has 578 stars and 79 forks, indicating an active community.
MCP-Universe is released under the Apache-2.0 license, making it free to use and modify according to the license terms.