mcpField
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Supadata

Supadata

Remote
supadata.aiBrowser Automation63Updated 1d ago

About Supadata

Supadata is an MCP server for extracting video transcripts and metadata, scraping pages, and crawling websites. It is for AI clients that need structured information from media and web sources, including asynchronous extraction and crawl jobs.

Key features

  1. 01Extract transcripts from supported video URLs
  2. 02Retrieve media metadata
  3. 03Extract structured data from video
  4. 04Scrape single-page content
  5. 05Discover URLs and crawl multiple pages

Use cases

  1. 01Get a transcript from a video URL
  2. 02Collect metadata for a media item
  3. 03Extract content across a website

MCP support

Exposes Supadata transcript, metadata, extraction, scraping, mapping, and crawling tools to MCP clients. It runs over stdio or hosted Streamable HTTP, with OAuth 2.1 on the hosted endpoint.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://api.supadata.ai/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://api.supadata.ai/mcpAuth required

Tools

Details

From the project README

Supadata MCP Server

supadata-ai/mcp MCP server

A Model Context Protocol (MCP) server that integrates with Supadata for video transcript extraction, web scraping, crawling, and site discovery.

Features

  • Video transcript extraction from YouTube, TikTok, Instagram, Twitter, and file URLs
  • Web scraping, crawling, and URL discovery
  • Media metadata retrieval from YouTube, TikTok, Instagram, and Twitter
  • AI-powered structured data extraction from video content

Installation

For setup instructions for Claude, ChatGPT, Cursor, Windsurf, VS Code, and other clients, see the integration guide.

Running

Stdio (default)

Running the package starts an MCP server on stdio. This is what MCP clients (Claude Desktop, Cursor, VS Code, Windsurf, ...) use when they spawn the server:

SUPADATA_API_KEY=your-api-key npx -y @supadata/mcp

Example client configuration:

{
  "mcpServers": {
    "supadata": {
      "command": "npx",
      "args": ["-y", "@supadata/mcp"],
      "env": { "SUPADATA_API_KEY": "your-api-key" }
    }
  }
}
Streamable HTTP (hosted)

The same tools are served over Streamable HTTP by the Cloudflare Worker in src/worker.ts, deployed at https://api.supadata.ai/mcp with OAuth 2.1. Run it locally with npm run dev (wrangler). Direct x-api-key header authentication is also accepted on /mcp.

An OAuth connection stays alive while it is used and expires after 30 days without use. Then clients have to log in again; Codex keeps retrying the expired login instead of asking, so run codex mcp login supadata if Supadata tools stop working in Codex.

Configuration

Environment Variables
  • SUPADATA_API_KEY: Your Supadata API key (required for the stdio server). Get one at dash.supadata.ai
  • DEBUG: set to true for verbose logging
  • RUN_STDIO: set to true to force the stdio server to start when the module is imported rather than executed directly

How to Choose a Tool

Select the right tool based on your needs:

  • Transcript: Extract video transcripts from platforms and file URLs
  • Scrape: Extract content from a single page when you know the exact URL
  • Map: Discover all available URLs on a website
  • Crawl: Extract content from multiple related pages comprehensively
  • Metadata: Fetch metadata from media URLs (YouTube, TikTok, Instagram, Twitter)
  • Extract: Extract structured data from video content using AI
ToolBest forReturns
transcriptVideo transcript extractiontext/markdown
metadataMedia metadata retrievalJSON object
extractAI-powered structured extractionJSON object
scrapeSingle page contentmarkdown/html
mapURL discovery on a siteURL[]
crawlMulti-page extractionmarkdown/html[]

Available Tools

Transcript (supadata_transcript)

Extract transcripts from supported video platforms (YouTube, TikTok, Instagram, Twitter) and file URLs.

Usage:

supadata_transcript --url "https://youtube.com/watch?v=example" --lang "en"
Check Transcript Status (supadata_check_transcript_status)

Check the progress of a transcript extraction job using the job ID.

Usage:

supadata_check_transcript_status --id "550e8400-e29b-41d4-a716-446655440000"
Metadata (supadata_metadata)

Fetch metadata from a media URL on supported platforms (YouTube, TikTok, Instagram, Twitter). Returns platform info, title, description, author details, engagement stats, media details, tags, and creation date.

Usage:

supadata_metadata --url "https://youtube.com/watch?v=example"
Extract (supadata_extract)

Extract structured data from a video URL using AI. Provide a prompt for what to extract, a JSON Schema for the output format, or both. Returns a job ID for async processing.

Usage:

supadata_extract --url "https://youtube.com/watch?v=example" --prompt "Extract the main topics discussed"
Check Extract Status (supadata_check_extract_status)

Check the progress of an extract job using the job ID.

Usage:

supadata_check_extract_status --id "550e8400-e29b-41d4-a716-446655440000"
Scrape (supadata_scrape)

Extract content from a single URL with advanced options.

Usage:

supadata_scrape --url "https://example.com" --lang "en"
Map (supadata_map)

Discover all indexed URLs on a website to find relevant pages before scraping.

Usage:

supadata_map --url "https://example.com"
Crawl (supadata_crawl)

Start an asynchronous crawl job to extract content from multiple pages on a site.

Usage:

supadata_crawl --url "https://example.com/blog" --limit 100
Check Crawl Status (supadata_check_crawl_status)

Check the progress of a crawl job using the job ID.

Usage:

supadata_check_crawl_status --id "550e8400-e29b-41d4-a716-446655440000"

Development

# Install dependencies
npm install

# Build
npm run build

# Run tests
npm test
Contributing
  1. Fork the repository
  2. Create your feature branch
  3. Run tests: npm test
  4. Submit a pull request

License

MIT License - see LICENSE file for details

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

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