Safe Render & Vercel Deploys via MCP
Secure, guardrail-first Render deployments and service management via MCP with mandatory approval gates.
Free
Works with the AI Agents you already use
Claude Code
Cursor
Codex CLI
Muse
Dots+21 moreClaude CodeCursorCodex CLIMuseDots
Manus
Grok
Grok Bot+18 agentsSafe Render & Vercel Deploys via MCP
Example session with this skill installed
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.
- Read your context and instructions
- Compiled the safe render
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.
Connects securely to your tools. The creator never sees your data.
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.
- Requires render-mcp driver configured.
- Cannot bypass Render's internal build timeouts.
- Limited to services accessible via the provided API key.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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Requires
RenderPermissions
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.