mcp-use and sub-agents-mcp
These are complements: mcp-use provides the MCP framework and server infrastructure, while sub-agents-mcp builds task-specific agent orchestration on top of MCP-compatible tools, allowing them to be used together for hierarchical multi-agent systems.
About mcp-use
mcp-use/mcp-use
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
Provides SDKs for TypeScript and Python to build MCP Servers and interactive MCP Apps with React widgets that render consistently across Claude, ChatGPT, and other MCP clients. Features auto-discovery of widget components, built-in schema validation with Zod, and an embedded inspector for testing at `localhost:3000/inspector`. Integrates with Manufact MCP Cloud for production deployment with observability, metrics, and CI/CD from GitHub.
About sub-agents-mcp
shinpr/sub-agents-mcp
Define task-specific AI sub-agents in Markdown for any MCP-compatible tool.
Markdown-defined agents execute via pluggable CLI backends (Cursor, Claude Code, Gemini, or Codex), with built-in session management and error handling for multi-step workflows. The MCP server architecture enables teams to define reusable agents once and consume them across any MCP-compatible IDE or tool, creating portable Claude Code–style sub-agent capabilities outside Claude's environment.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work