framefetch

FrameFetch One API/MCP call gives an agent clean video data across 6 platforms — metadata + insights, a Whisper transcript, and parametric frames (pick fps or…

CommunityOnlineNo sign-inGlobalFreeCan modify data

What it can do

  • Framefetch Extract: Extract structured data from ONE public social-video URL (YouTube incl. Shorts, TikTok, Instagram Reels, Pinterest, Reddit). Purpose: turn a video link into metadata (title, author
  • Framefetch Platform Capabilities: Return a JSON matrix of which data types (metadata, insights, transcript, frames) each supported platform provides — YouTube, YouTube Shorts, TikTok, Instagram Reels,

What data it sees

Do you need an account

No: the server works without sign-in

FrameFetch

One API/MCP call gives an agent clean video data across 6 platforms — metadata + insights, a Whisper transcript, and parametric frames (pick fps or exact timestamps → pushed to S3). YouTube (incl. Shorts), TikTok, Reddit, Instagram, Pinterest.

Agent-first: typed errors, refund-on-fail, result caching. Pay per call via x402 (USDC on Base) or Stripe.

Endpoints

  • POST /v1/extract — any combination of metadata/insights/transcript/frames in one call
  • POST /v1/metadata · /v1/transcript · /v1/frames — shortcuts
  • GET /v1/platforms — capability matrix · POST /v1/keys — free key + credit

Example

curl -X POST https://framefetch.net/v1/extract -H "Authorization: Bearer " -H "Content-Type: application/json" -d '{"url":"https://youtu.be/...","fields":["metadata","transcript"]}'

https://framefetch.net

How to connect

How to connect framefetch to Claude

The server address to paste into Claude settings:

https://framefetch--reyd8777.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect framefetch to ChatGPT

The server address to paste into ChatGPT settings:

https://framefetch--reyd8777.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect framefetch to Cursor

The server address to paste into Cursor settings:

https://framefetch--reyd8777.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (2)

Raw names from tools/list. Only developers need these.

framefetch_extractExtract structured data from ONE public social-video URL (YouTube incl. Shorts, TikTok, Instagram Reels, Pinterest, Reddit). Purpose: turn a video link into metadata (title, author, duration, date), insights (views/likes/comments), a transcript (captions, or Whisper when there are none — works on TikTok/Reddit too), and/or parametrically-sampled video frames. When to use: you have a video URL and need its text, stats, or frames for analysis, summarization, or grounding a model. When NOT to use: non-video pages, private/login-walled content, or bulk crawling (one URL per call). Returns: one JSON object containing only the requested fields plus a `cost` block (micro-USD). Frames come back as time-limited signed image URLs. Cost/latency: metadata is sub-cent and fast; transcript is billed per audio-minute and frames per frame (both also incur bandwidth) — request only the fields you need and downscale frames via `width` to control cost. Billing: a free tier covers light use; agents can also pay per call with x402 (USDC) with no account. Example: { "url": "https://www.youtube.com/watch?v=...", "fields": ["metadata","transcript"], "frames": { "mode": "fps", "fps": 1, "width": 480 } }
framefetch_platform_capabilitiesReturn a JSON matrix of which data types (metadata, insights, transcript, frames) each supported platform provides — YouTube, YouTube Shorts, TikTok, Instagram Reels, Pinterest, Reddit. Purpose: check what is available for a platform BEFORE calling framefetch_extract, so you only request supported fields. No input required.