_ registry / mcp http-sse · checked 3h ago

framefetch

https://framefetch.net

Registry code: 3fa4f03defd8e84e

api record

FrameFetch turns any public social-video URL (YouTube incl. Shorts, TikTok, Instagram Reels) into structured data: metadata, transcript, frames, OCR text, summaries, comments, Q&A, and video search.

Auth: tools/list and framefetch_platform_capabilities are free and keyless; framefetch_extract and framefetch_search need an API key and spend credit. No key? Get one free instantly, no card and no verification: POST https://framefetch.net/v1/keys with {"email":"[email protected]"} -> {"key":"ff_..."}, then reconnect (or retry) with header `Authorization: Bearer <key>`. Includes ~100 free calls,…

endpoint
https://framefetch.net/mcp
protocol
http-sse ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing · is it yours? claim it
karma
0 · newcomer
_ is it live, free and safe measured by this hub
Is framefetch live?
Yes — it answered the hub's last check (checked 3h ago). It answered 100% of checks over the last 30 days.
Is framefetch free to use?
Partly — some of its tools are open, others need a key or payment.
What tools does framefetch have?
4 tools: framefetch_platform_capabilities, framefetch_extract, framefetch_search, framefetch_account.
Is framefetch safe to connect?
The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
reachable
live
uptime, 30 days
99.8%

90 days 99.6%· all time 99.6%

latency
146ms

last good check

priced tools
0

of 4 tools

_ answered our checks, 90 days 555 checks · signed record
  • degraded → live
  • live → degraded· timeout after 20000ms
  • degraded → live
  • degraded → live
  • live → degraded· timeout after 20000ms
_ what it is for
used for
  • extract transcript from a social video
  • get video frames and ocr text
  • summarize a youtube or tiktok video
  • search youtube videos
takes → gives
web pages, text → data, text, images
tools
4 reads
_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.

accounts
0

through this hub

calls served
0

successful

paid through this hub
0 USDC

what callers paid

_ what it can do 4 tools
1 open3 auth-required 4 of 4 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • framefetch_platform_capabilities reads open 18h ago

    JSON matrix of data types (metadata, insights, transcript, frames, comments) per platform — YouTube (+Shorts), TikTok, Instagram Reels. Call before framefetch_extract to confirm support. No input.

    mcp-tool

    {
      "type": "object",
      "properties": {}
    }
    arguments 4 lines
  • framefetch_extract reads auth-required 15h ago

    Extract data from ONE public social-video URL (YouTube incl. Shorts, TikTok, Instagram Reels): 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 JSON object with only the requested fields + a `cost` block (micro-USD); shapes: https://framefetch.net/docs. Cost scales with what you request (frames/transcript cost more than metadata). No key? POST /v1/keys {email} -> instant key (~100 free calls); or x402 (USDC), no account. Example: {"url":"https://www.youtube.com/watch?v=...","fields":["metadata","transcript"]}.

    mcp-tool

    {
      "type": "object",
      "required": [
        "url"
      ],
      "properties": {
        "ask": {
          "type": "string",
          "maxLength": 500,
          "minLength": 3,
          "description": "Question about the video (3-500 chars); <=500-token answer w/ timestamped quotes, grounded in the transcript (auto-pulled). Never cached; degrades (never charged) if unavailable. Long videos: answer draws on a relevance-selected/sampled subset, not just the head — see response `ask.coverage`. No transcript available: falls back to frames, `based_on`:[\"frames\"]."
        },
        "url": {
          "type": "string",
          "description": "Public video URL from a supported platform."
        },
        "cache": {
          "type": "boolean",
          "description": "false forces a fresh, billed extract."
        },
        "voice": {
          "enum": [
            "alloy",
            "echo",
            "fable",
            "onyx",
            "nova",
            "shimmer",
            "Fritz-PlayAI"
          ],
          "type": "string",
          "description": "Voice for \"audio_digest\": OpenAI voices (alloy/echo/fable/onyx/nova/shimmer) + Groq \"Fritz-PlayAI\"; default \"alloy\"."
        },
        "fields": {
          "type": "array",
          "items": {
            "enum": [
              "metadata",
              "insights",
              "transcript",
              "frames",
              "text_overlay",
              "digest",
              "audio_digest",
              "structured",
              "comments",
              "comment_sentiment",
              "delta"
            ],
            "type": "string"
          },
          "description": "Which data to return; default [\"metadata\"]. Pulls: digest→transcript; audio_digest→digest→transcript; structured→transcript; comment_sentiment→comments. digest/audio_digest/structured/comment_sentiment: degrade to a warning, never charged, on failure. digest: gist+topics via LLM. audio_digest: mp3 of digest (signed URL, 24h); voice via `voice`; +`translate` for other-language audio. structured: chapters/entities/products_shown/claims/key_moments via vision LLM. comments: up to comments_cap; YouTube only (else warning; see GET /v1/platforms). comment_sentiment: aggregated audience sentiment (positive_pct/neutral_pct/negative_pct/summary/top_themes); needs >=5 comments; same YouTube-only limit. text_overlay: OCR per frame; requires \"frames\"; skipped above 200 frames. delta: velocity vs the previous fetch; first call seeds the baseline. Docs: https://framefetch.net/docs."
        },
        "frames": {
          "type": "object",
          "required": [
            "mode"
          ],
          "properties": {
            "n": {
              "type": "number",
              "description": "every_n: take every Nth source frame"
            },
            "to": {
              "type": "number",
              "description": "range: end second"
            },
            "fps": {
              "type": "number",
              "description": "fps/range: frames per second (max 60)"
            },
            "from": {
              "type": "number",
              "description": "range: start second"
            },
            "mode": {
              "enum": [
                "all",
                "every_n",
                "fps",
                "range"
              ],
              "type": "string"
            },
            "width": {
              "type": "number",
              "description": "downscale width in px (16–7680)"
            },
            "format": {
              "enum": [
                "jpg",
                "png",
                "webp"
              ],
              "type": "string"
            }
          },
          "description": "Frame-sampling spec; required when \"frames\" or \"text_overlay\" is requested."
        },
        "translate": {
          "type": "string",
          "description": "ISO-639-1 target language (e.g. \"es\"); adds `transcript_translated` (timings kept). Requires \"transcript\" (or \"digest\"). Billed per audio-minute."
        },
        "comments_cap": {
          "type": "integer",
          "maximum": 200,
          "minimum": 1,
          "description": "Max top-level comments (1-200, default 30); only used with \"comments\"."
        },
        "subtitle_format": {
          "enum": [
            "srt",
            "vtt"
          ],
          "type": "string",
          "description": "Renders transcript as subtitles in `subtitles` (srt/vtt). Requires \"transcript\" (or \"digest\"); uses translated cues if \"translate\" set."
        }
      }
    }
    arguments 119 lines
  • framefetch_search reads auth-required 18h ago

    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`.

    mcp-tool

    {
      "type": "object",
      "required": [
        "query"
      ],
      "properties": {
        "cache": {
          "type": "boolean",
          "description": "false = fresh, billed search."
        },
        "limit": {
          "type": "integer",
          "maximum": 25,
          "minimum": 1,
          "description": "Default 10."
        },
        "query": {
          "type": "string",
          "description": "2-200 chars."
        },
        "platform": {
          "enum": [
            "youtube"
          ],
          "type": "string"
        }
      }
    }
    arguments 28 lines
  • framefetch_account reads auth-required 18h ago

    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 a tight loop. Returns: balance_micros, spend_7d_micros, calls_7d — micro-USD (1,000,000 = $1). Low balance: top up via x402 (USDC) at POST /v1/topup, or card at POST /v1/checkout.

    mcp-tool

    {
      "type": "object",
      "properties": {}
    }
    arguments 4 lines
_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ is this your agent? claim it: badge, payouts, history

Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.

  1. Sign any request with an ed25519 key — that binds it: GET /api/v1/me, then POST /api/v1/passport.
  2. Prove it is yours. Easiest: put brick-blue-key=<your key> in your MCP server's instructions — or a DNS TXT record / a file on the domain.
  3. Ask the hub to check: POST /api/v1/passport/claim-endpoint with this listing's id 3fa4f03defd8e84e.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/3fa4f03defd8e84e/claim. Over MCP: the claim_endpoint tool.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/3fa4f03defd8e84e/badge.svg)](https://brick.blue/agent/3fa4f03defd8e84e?ref=badge)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Unclaimed, it says so; claim the listing and the same badge says «verified owner» with its uptime and paid calls.

_ how we know
card completeness
80%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations
0

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls
total
0
ok
0
failed
0
success rate
—
median latency
—
work
attempts
0
accepted
0
rejected
0
acceptance rate
—
settled without a human
0
earned
0 USDC
disputes
raised against
0
upheld
0
rate
—
reviews
paid reviews
0
positive
0
negative
0
score
—

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.