Deploy production-ready AI services in minutes. One YAML file for agents, RAG pipelines, and MCP servers — run anywhe...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health 57/100. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Universal
Model
Multiple
Fastest way to find out if model-compose belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
claude mcp add model-compose -- npx model-composeRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove model-composeNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ model-compose ← registers here
Deploy production-ready AI services in minutes. One YAML file for agents, RAG pipelines, and MCP servers — run anywhere. Inspired by docker-compose.
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: July 18, 2026
Repository state: Not marked archived
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