MCP server

ffpipe — video conversion, probe & frames Official

dev.ffpipe/ffpipe

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Convert, probe, and split video into frames — real FFmpeg, paid per job with x402 on Base.

Website

At a glance

Type

MCP server

Publisher

ffpipe.dev (verified by the MCP Registry)

Status

Working at last check

Tools

6

Token cost

About 3,904 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http ffpipe https://ffpipe.dev/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.ffpipe]
url = "https://ffpipe.dev/mcp"

Gemini CLI

{"mcpServers":{"ffpipe":{"httpUrl":"https://ffpipe.dev/mcp"}}}

Cursor

{"mcpServers":{"ffpipe":{"url":"https://ffpipe.dev/mcp"}}}

VS Code

{"servers":{"ffpipe":{"type":"http","url":"https://ffpipe.dev/mcp"}}}

Antigravity

agy mcp add ffpipe https://ffpipe.dev/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"ffpipe","server_url":"https://ffpipe.dev/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"ffpipe","server_url":"https://ffpipe.dev/mcp"}

Tools

• convert_video ~508 tokens
  Queue an asynchronous video conversion: fetches sourceUrl (or, with upload: true, waits for you to PUT the bytes to the returned uploadUrl), converts to MP4 scaled to fit maxWidth x maxHeight (defaults 1920x1080, cap 4096). Returns { jobId, status: "queued" | "awaiting_upload", statusUrl, uploadUrl?
• extract_frames ~1339 tokens
  Queue an asynchronous frame extraction - the tool to reach for when you need to SEE a video: fetches sourceUrl (or, with upload: true, waits for you to PUT the bytes to the returned uploadUrl) and extracts still frames as jpeg, webp or png. mode is REQUIRED and picks the sampling (all, every_nth, in
• get_balance ~234 tokens
  Free. Reports the credit balance of the account this client is connected to, plus what one credit is worth, what each operation costs in credits, the monthly free allowance and whether a card is on file to unlock it. Takes no input: it reads the account behind the credential your client already conn
• get_job_status ~316 tokens
  Free status lookup for a job accepted by convert_video / probe_media / extract_frames. Requires the job's ownership token - the `t` query parameter of the statusUrl returned at acceptance (store the whole statusUrl; it cannot be regenerated). Status goes [awaiting_upload ->] queued -> finished | err
• leave_feedback ~465 tokens
  Tell us what you needed. If ffpipe does not offer the operation you came for - another output format, extracting a frame, a different transformation entirely - say so here: these requests are aggregated and they drive directly what gets built next, so a one-line "I wanted X" is genuinely useful to u
• probe_media ~1042 tokens
  Queue an asynchronous media inspection: fetches sourceUrl (or, with upload: true, waits for you to PUT the bytes to the returned uploadUrl) and returns its technical metadata as a downloadable file. In the default json format the result is the full raw analysis plus one added top-level "ffpipe_summa

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