MCP server

Framefetch

io.github.MarvinRey7879/framefetch

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

Any social-video URL → transcript, metadata, frames, OCR, summary, search, Q&A. MCP server + x402.

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

4

Token cost

About 1,564 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 framefetch https://framefetch.net/mcp

Claude Desktop

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

Codex (config.toml)

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

Gemini CLI

{"mcpServers":{"framefetch":{"httpUrl":"https://framefetch.net/mcp"}}}

Cursor

{"mcpServers":{"framefetch":{"url":"https://framefetch.net/mcp"}}}

VS Code

{"servers":{"framefetch":{"type":"http","url":"https://framefetch.net/mcp"}}}

Antigravity

agy mcp add framefetch https://framefetch.net/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":"framefetch","server_url":"https://framefetch.net/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"framefetch","server_url":"https://framefetch.net/mcp"}

Tools

• framefetch_account ~164 tokens
  Check this account's credit balance/usage. Read-only — never charges; works at zero balance (unlike framefetch_extract). Purpose: check balance before expensive framefetch_extract calls — at session start, periodically, or after a 402. When NOT to use: before every single framefetch_extract call in
• framefetch_extract ~1120 tokens
  Extract data from ONE public social-video URL (YouTube incl. Shorts, TikTok, Instagram Reels, Pinterest, Reddit): metadata/insights/transcript/frames/digest/comments/etc — see `fields`. When NOT to use: non-video pages, private/login-walled content, or bulk crawling (one URL per call). Returns one J
• framefetch_platform_capabilities ~93 tokens
  JSON matrix of data types (metadata, insights, transcript, frames, comments) per platform — YouTube (+Shorts), TikTok, Instagram Reels, Pinterest, Reddit. Call before framefetch_extract to confirm support. No input.
• framefetch_search ~187 tokens
  Search YouTube by keyword (yt-dlp, no login). Returns up to `limit` hits: url/title/uploader/durationSec/uploadDate(often null)/thumbnail/views. YouTube only — use framefetch_extract on a hit's url for transcript/frames/etc. Billed ~$0.002/call (metadata-tier), regardless of `limit`.

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