pulsemcp verified Safe content atomic mcp-remote

FFmpeg Helper

MCP-FFmpeg-Helper is a server implementation that provides AI assistants with access to FFmpeg's powerful video processing capabilities through a standardized interface. It exposes a suite of tools for common video operations including format conversion, audio extraction, video trimming, watermark addition, frame extraction, and detailed media information retrieval. The server uses a stdio transport layer to communicate with AI assistants, transforming complex FFmpeg commands into simple tool calls with structured inputs, making it particularly useful for applications requiring video manipulation without direct command-line access to FFmpeg.

Cognium trust score

96%

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/sworddut/mcp-ffmpeg-helper
Author type: human
Last scanned: 2026-09-28
Updated: 2026-09-28

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MCP

Resolve FFmpeg Helper 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"