by SalesforceAIResearch · MCP Server · ★ 592
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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). Beyond our industry-leading benchmark for real-world MCP server interactions, MCP-Universe provides production-ready tools for agent development includi
| Stars | 592 |
| Forks | 85 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 69.4947285752662/100 |
| Open Issues | 30 |
| Last Updated | 2026-06-23 |
| Created | 2025-05-02 |
| Platforms | mcp, python |
| Est. Tokens | ~19k |
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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 592 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 592 stars and 85 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.