# Render

> Use this tool when you need to deploy and manage services on Render.com directly through AI assistants, solving problems of manual deployment and streamlining service management. It takes AI assistant inputs and outputs deployment status, providing a seamless interface for Render.com interactions. Use Render to automate deployment and management tasks, saving time and increasing efficiency.

Canonical page: https://skillsregistry.net/skills/niyogi-render  
JSON: https://api.skillsregistry.net/v1/skills/niyogi-render

## Description

Deploy to Render.com directly through AI assistants.

This MCP (Model Context Protocol) server allows AI assistants like Claude to interact with the Render API, enabling deployment and management of services on Render.com.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/niyogi-render)
- **Repository:** <https://github.com/niyogi/render-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "niyogi-render"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/niyogi-render` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/niyogi-render/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt