framefetch
Any social-video URL → transcript, metadata, frames, OCR, summary, search, Q&A. MCP server + x402.
Should I use this
Quality & Safety
Findings (5)
- HIGHTool poisoning patterns detected
- MEDIUMTool description contains suspicious base64-like encoded stringin framefetch_extract
- MEDIUMTool description contains URL to non-standard domainin framefetch_extract
- MEDIUMTool description contains suspicious base64-like encoded stringin framefetch_search
- LOWTool 'framefetch_platform_capabilities' name length outside 3-30 rangein framefetch_platform_capabilities
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"framefetch": {
"url": "https://framefetch.net/mcp"
}
}
}Remote endpoints
https://framefetch.net/mcpstreamable-httpWhat it can do
Tool inventory
Tools (4)
🟢framefetch_extract(url, fields, frames, translate, subtitle_format, ...)
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 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"]}.
Input Schema
{
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "Public video URL from a supported platform."
},
"fields": {
"type": "array",
"items": {
"type": "string",
"enum": [
"metadata",
"insights",
"transcript",
"frames",
"text_overlay",
"digest",
"audio_digest",
"structured",
"comments",
"comment_sentiment",
"delta"
]
},
"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",
"description": "Frame-sampling spec; required when \"frames\" or \"text_overlay\" is requested.",
"properties": {
"mode": {
"type": "string",
"enum": [
"all",
"every_n",
"fps",
"range"
]
},
"n": {
"type": "number",
"description": "every_n: take every Nth source frame"
},
"fps": {
"type": "number",
"description": "fps/range: frames per second (max 60)"
},
"from": {
"type": "number",
"description": "range: start second"
},
"to": {
"type": "number",
"description": "range: end second"
},
"format": {
"type": "string",
"enum": [
"jpg",
"png",
"webp"
]
},
"width": {
"type": "number",
"description": "downscale width in px (16–7680)"
}
},
"required": [
"mode"
]
},
"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."
},
"subtitle_format": {
"type": "string",
"enum": [
"srt",
"vtt"
],
"description": "Renders transcript as subtitles in `subtitles` (srt/vtt). Requires \"transcript\" (or \"digest\"); uses translated cues if \"translate\" set."
},
"voice": {
"type": "string",
"enum": [
"alloy",
"echo",
"fable",
"onyx",
"nova",
"shimmer",
"Fritz-PlayAI"
],
"description": "Voice for \"audio_digest\": OpenAI voices (alloy/echo/fable/onyx/nova/shimmer) + Groq \"Fritz-PlayAI\"; default \"alloy\"."
},
"comments_cap": {
"type": "integer",
"minimum": 1,
"maximum": 200,
"description": "Max top-level comments (1-200, default 30); only used with \"comments\"."
},
"ask": {
"type": "string",
"minLength": 3,
"maxLength": 500,
"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 (e.g. Pinterest): falls back to frames, `based_on`:[\"frames\"]."
},
"cache": {
"type": "boolean",
"description": "false forces a fresh, billed extract."
}
},
"required": [
"url"
]
}🟢framefetch_platform_capabilities
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.
Input Schema
{
"type": "object",
"properties": {}
}🟢framefetch_search(query, limit, platform, cache)
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`.
Input Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "2-200 chars."
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 25,
"description": "Default 10."
},
"platform": {
"type": "string",
"enum": [
"youtube"
]
},
"cache": {
"type": "boolean",
"description": "false = fresh, billed search."
}
},
"required": [
"query"
]
}🟢framefetch_account
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.
Input Schema
{
"type": "object",
"properties": {}
}Community
Evidence