Deploy agent production

Skill m00kk/agent-skills-playbook/skills/deploy-agent-production

15 production Agent Skills — MCP, LangGraph, RAG, security, Cursor SDK. MIT licensed.

Install

npx -y skills add m00kk/agent-skills-playbook --skill deploy-agent-production

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Deploys AI agents and MCP servers to production: Docker, serverless, streamable HTTP MCP, secrets, and health checks. Use when shipping agents to prod, hosting MCP remotely, or DevOps for agentic systems.

SKILL.md

1.5 KB, as published. Nobody here has run it

Deploy Agent Production

Deployment targets

Component	Common target
MCP server (stdio)	Dev only / local IDE
MCP server (HTTP)	Container + HTTPS reverse proxy
LangGraph API	LangGraph Platform or custom FastAPI
Worker agents	Queue + autoscaled workers

Workflow

- [ ] Containerize with pinned dependencies
- [ ] Secrets via vault / platform secrets (never in image)
- [ ] Health check: GET /health or MCP ping tool
- [ ] Timeouts on all outbound tool calls
- [ ] Autoscaling on queue depth or request rate
- [ ] Rollback strategy documented

MCP remote (streamable HTTP)

TLS termination at gateway
OAuth for multi-tenant
Rate limit per API key
CORS locked to known clients if browser-accessible

Docker sketch

FROM python:3.12-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
CMD ["python", "-m", "mcp_server"]
HEALTHCHECK CMD curl -f http://localhost:8080/health || exit 1

Production checklist

Resource limits (CPU/memory)
Structured logs + trace IDs
Graceful shutdown (drain in-flight)
Staging environment mirrors prod tools (sandbox APIs)

See secure-mcp-server before exposing HTTP MCP publicly.