Safe Render Deploys via MCP (v0.1.3)
Secure, guardrail-first Render deployments and service management via MCP with mandatory approval gates.
- Trigger Render deployments only after explicit human approval.
- Audit Render service status and deployment history via natural language.
- Generate living deployment records as Markdown files for every production change.
Free
See it in action
You say
The GitHub repo has a new commit 8f2a1b for the landing page. Check the 'web-api' service on Render and prepare a deployment if needed.
Your agent does
Plan: Trigger deployment for 'web-api' (srv-d84gk...) Reason: GitHub commit 8f2a1b (New landing page) detected. Risk: High Action: [PAUSED] Please type 'yes' to trigger the Render deployment. Docs: Created deployment-log-2023-10-27.md with metadata.
Safe Render Deploys via MCP (v0.1.3)
Secure, guardrail-first Render deployments and service management via MCP with mandatory approval gates.
Free
Included in download
- Downloadable skill package
- 6 permissions declared
- Instant install
See it in action
You say
The GitHub repo has a new commit 8f2a1b for the landing page. Check the 'web-api' service on Render and prepare a deployment if needed.
Your agent does
Plan: Trigger deployment for 'web-api' (srv-d84gk...) Reason: GitHub commit 8f2a1b (New landing page) detected. Risk: High Action: [PAUSED] Please type 'yes' to trigger the Render deployment. Docs: Created deployment-log-2023-10-27.md with metadata.
About This Skill
Safely Manage and Deploy Render Services
Most AI agents lack a secure, first-class method to interact with infrastructure. This skill provides a specialized MCP interface for Render, allowing your agent to discover, monitor, and deploy services with enterprise-grade guardrails. It bridges the gap between code changes and live production environments by integrating directly with the render-mcp driver.
What it does
- Discovery & Monitoring: Lists services, retrieves deployment history, and checks live status without risk.
- Gated Deployments: Implements a strict permission model where high-stakes actions like triggering a deploy or changing environment variables require explicit approval.
- Living Documentation: Automatically generates deployment records using Direct File Writing, ensuring every infrastructure change is auditable.
- Risk Classification: Automatically categorizes tasks (Low, Medium, High) to determine when to pause for human confirmation.
Why use this skill
Unlike generic prompting, this skill follows a rigorous 6-phase operating procedure. It doesn't just "try" to deploy; it detects changes, pulls live state, creates a plan, and waits for your 'yes' before executing. This prevents accidental downtime and ensures your agent acts as a responsible DevOps collaborator rather than an untrusted script.
Supported Ecosystem
Optimized for the Grok Build TUI and fully compatible with the Cross-Platform Synchronization Hub for managing complex workflows involving GitHub, Vercel, and Render simultaneously.
Use Cases
- Trigger Render deployments only after explicit human approval.
- Audit Render service status and deployment history via natural language.
- Generate living deployment records as Markdown files for every production change.
- Synchronize Render environment state with GitHub repository updates.
Known Limitations
- Requires render-mcp driver configured.
- Cannot bypass Render's internal build timeouts.
- Limited to services accessible via the provided API key.
How to install
Drop the file into your AI tool. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Security Scanned
Passed automated security review
Permissions
Allowed Hosts
File Scopes
Low-stakes discovery and draft generation can proceed with low friction. Medium and high-stakes decisions — especially any actual deployment or service metadata change — always require explicit user confirmation in the current session. This skill follows the permission model defined in the Cross-Platform Synchronization Hub with Grok and is intended to be used together with it for multi-platform workflows. PREFER_PRIMARY_TREE and STRICT_WRITE_VERIFICATION (and related variables) are defined and controlled by the Direct File Writing with Grok skill; this skill relies on them for disciplined, verifiable file operations.
Optimized for Grok in the Grok Build TUI. Works with the connected Agensi MCP tools.
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