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Plainly Videos

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.

Cognium trust score

100%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.

Scan details: Circle-IR · 2026-09-28 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: media
Source: PulseMCP
Repository: github.com/plainly-videos/mcp-server
Author type: human
Last scanned: 2026-09-28
Updated: 2026-09-28

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MCP

Resolve Plainly Videos from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"