Support for multiple n8n environments? #141
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Hi @brown5tick, From an IT Governance perspective, this is a crucial question. Currently, a single n8n MCP server instance typically binds to one N8N_API_KEY and N8N_HOST. To support multiple environments (e.g., Development, Staging, Production), the most robust architectural approach is to deploy decoupled instances of the MCP server.
YAML docker-compose.yml example for Multi-Envservices: n8n-mcp-dev: To maintain integrity and avoid "accidental production deployments" by an AI agent, I recommend these three guardrails: Semantic Naming: Enforce a naming convention for your workflows. Use prefixes like [PROD] or [DEV]. When the LLM calls tools/list, it will immediately see the environment context in the workflow names. Scoped API Keys: Use n8n's granular API permissions (if available in your version) to ensure the DEV MCP key has no write access to critical production webhooks or credentials. Audit Logging: Since you are using an MCP bridge, ensure your MCP server logs are centralized. This allows you to audit exactly which environment the AI interacted with and what changes were triggered, maintaining a clear Audit Trail. Verdict: Don't try to multiplex one server. Use Environment Isolation via Docker. It's safer, more scalable, and follows the principle of least privilege. |
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Hey! Is it possible to configure the server against multiple n8n environments or is it just one per global/project?
Assuming it is possible, what advice would you give to ensure integrity is maintained between those environments?
Thanks!
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