Data Collection
framefetch.net
Extracts metadata, transcripts, frames, and comments from social video platforms like YouTube, TikTok, and Instagram Reels.
ENDPOINT 1
https://framefetch.net/mcp
MCP server metadata
- Name
- framefetch
- Version
- 1.9.1
FrameFetch turns any public social-video URL (YouTube incl. Shorts, TikTok, Instagram Reels, Pinterest, Reddit) 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":"you@example.com"} -> {"key":"ff_..."}, then reconnect (or retry) with header `Authorization: Bearer <key>`. Includes ~100 free calls, refreshed monthly. Costs are returned per call in micro-USD (1,000,000 = $1). Full docs: https://framefetch.net/docs
Known tools 4
framefetch_platform_capabilitiesJSON matrix of data types (metadata, insights, transcript, frames, comments) per platform — YouTube (+Shorts), TikTok, Instagram Reels, Pinterest, Reddit.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.framefetch]
url = "https://framefetch.net/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"framefetch": {
"type": "http",
"url": "https://framefetch.net/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: framefetch
Remote MCP URL: https://framefetch.net/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"framefetch": {
"url": "https://framefetch.net/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"framefetch": {
"type": "http",
"url": "https://framefetch.net/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "framefetch",
"transport": "streamable-http",
"url": "https://framefetch.net/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for framefetch.net was fetched 2026-09-11T23:11:30.935Z.
framefetch.net is assessed as Neutral: No suspicious signals found, but no strong positive signal either
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.