Safe Render Deploys via MCP (v0.1.3)

    by Markus Isaksson

    3

    Secure, guardrail-first Render deployments and service management via MCP with mandatory approval gates.

    Free

    4 installsSecurity scanned

    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    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.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Installs4
    Listed3 months ago

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