# Plainly Videos

> Use this tool when you need to automate video generation workflows or batch process videos using customizable templates. It solves problems related to AI-assisted content creation, allowing users to browse and render video projects programmatically through the Plainly API. With inputs such as template parameters and media URLs, and outputs including rendered videos and render status updates, this tool is ideal for use cases involving automated video production and content creation.

Canonical page: https://skillsregistry.net/skills/plainly-videos  
JSON: https://api.skillsregistry.net/v1/skills/plainly-videos

## Description

An MCP server for Plainly Videos that enables AI assistants to browse video templates and projects, customize parameters, and render videos programmatically through the Plainly API. Built by PlainlyVideos, it provides tools for listing renderable designs and projects, inspecting template parameters with type validation (text, media URLs, colors), submitting render jobs with mandatory parameter checking, and monitoring render status with detailed error handling. The implementation features comprehensive parameter validation, aspect ratio calculation, and integration with the Plainly dashboard for render management, making it useful for automated video generation workflows, batch video processing, and AI-assisted content creation using After Effects templates.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

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

## 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": "plainly-videos"
    }
  }
}
```

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