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  1. Home
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  3. Supadata
Supadata logo
Health: ActiveRecent health check succeeded.Last checked 10/15/2026, 12:46:05 AM

Supadata

InstallableWe know how to install it, but have not yet seen it complete a handshake. User RatingsBe the first to rate and review this MCP server!
View Repository63 GitHub StarsTotal stargazers on GitHub for the source repository (63 stars).Visit Website
videotranscriptsweb-scrapingdata-extraction

Extracts video transcripts, media metadata, web content, site URLs, crawled pages, and structured data through MCP tools.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

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Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Configure Environment Variables (API Keys, Tokens, Options):
Add required secrets below — values are included directly in the generated snippet so you can copy and paste with confidence.
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Where:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "supadata": {
      "command": "npx",
      "args": [
        "-y",
        "@supadata/mcp"
      ],
      "env": {
        "SUPADATA_API_KEY": "YOUR_VALUE_HERE"
      }
    }
  }
}

💡 Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

Install How it works Related FAQ Claim listing Alternatives🔎 More in Search & Data Extraction Directory Badge

Overview

The Supadata MCP server connects MCP clients to Supadata for video transcripts, media metadata, web scraping, crawling, URL discovery, and AI-based extraction. It supports YouTube, TikTok, Instagram, Twitter/X, file URLs, and general web pages, with asynchronous status tools for longer jobs. Run it locally over stdio with an API key, or use the hosted Streamable HTTP endpoint with OAuth 2.1 or an API-key header. Reach for it when an agent needs to gather content from videos or websites and return text, URLs, metadata, or structured JSON.

Use cases

•Extract transcripts from supported video URLs
•Retrieve metadata from social video posts
•Discover and scrape pages across a website
•Extract structured fields from video content

Key features

•Video transcript extraction
•Media metadata retrieval
•Single-page web scraping
•Website URL mapping and crawling
•AI-based structured video extraction
•Asynchronous job status checks

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Supadata.

Extracted Tool Capabilities
Video transcript extraction
Media metadata retrieval
Single-page web scraping
Website URL mapping and crawling
AI-based structured video extraction
Asynchronous job status checks

How Supadata works

What Supadata MCP server does

The Supadata MCP server exposes Supadata’s video and web data operations through the Model Context Protocol. It belongs in the Search & Data Extraction category and can provide transcript text, media metadata, webpage content, discovered URLs, multi-page crawl results, or structured fields extracted from video content.

Video support covers YouTube, TikTok, Instagram, Twitter, and file URLs for transcript extraction. Media metadata requests support YouTube, TikTok, Instagram, and Twitter URLs. For websites, the server separates single-page scraping from URL mapping and multi-page crawling, so an agent can first identify pages and then collect content from selected or related URLs.

How it works

The Supadata MCP server offers MCP tools that clients invoke with a URL and, where applicable, language, limits, prompts, or schemas. Transcript and scrape operations return content directly in text, Markdown, or HTML-oriented formats. Metadata and structured extraction return JSON objects.

Some operations run asynchronously. Video extraction, structured extraction, and site crawling return a job ID when processing continues in the background. The corresponding status tools accept that ID and report progress or results: transcript status, extract status, and crawl status each have a dedicated operation.

The default local transport is stdio. A hosted Streamable HTTP deployment is available at https://api.supadata.ai/mcp; it uses OAuth 2.1, and the /mcp route also accepts an x-api-key header. The repository includes a local development command for the HTTP worker.

Setup and configuration

For a local client, install and start the package with npx -y @supadata/mcp. Set SUPADATA_API_KEY to a key from the Supadata dashboard, either in the process environment or in the client’s MCP configuration. The sample configuration starts the command with npx, passes the package name as an argument, and supplies the key through env.

DEBUG=true enables verbose logging. RUN_STDIO=true forces the stdio server to start when its module is imported rather than executed directly. These settings are optional; the API key is required for the stdio server.

Integration instructions are provided for Claude, ChatGPT, Cursor, Windsurf, VS Code, and other clients in Supadata’s integration guide. Hosted OAuth sessions remain active while used and expire after 30 days without use. Codex users may need to run codex mcp login supadata after an expired login stops tool access.

Tools and capabilities

The Supadata MCP server includes these operations:

  • supadata_transcript extracts a transcript from a supported video or file URL, with an optional language.
  • supadata_check_transcript_status checks an asynchronous transcript job by ID.
  • supadata_metadata returns platform, title, description, author, engagement, media, tags, and creation-date fields where available.
  • supadata_extract uses a prompt, a JSON Schema, or both to derive structured data from a video; it returns a job ID for asynchronous processing.
  • supadata_check_extract_status checks a structured-extraction job.
  • supadata_scrape retrieves content from one URL with advanced options such as language.
  • supadata_map lists indexed URLs discovered on a website.
  • supadata_crawl starts extraction across multiple related pages and accepts a page limit.
  • supadata_check_crawl_status checks a crawl job by ID.

Limitations and notes

The README identifies supported media platforms and file URLs, but does not define coverage for every URL type or describe rate limits, quotas, pricing, or extraction guarantees. Crawling and structured video extraction may require a separate status request because they are asynchronous. The hosted endpoint’s OAuth session behavior is relevant to long-lived client connections, particularly Codex sessions that stop working after expiration.

Read the full README →View source on GitHub →

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Reviews

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Frequently Asked Questions about Supadata

Supadata is an MCP server that connects AI clients to Supadata’s video and web data services. Its main tools extract transcripts, retrieve media metadata, scrape pages, map and crawl websites, and extract structured data from video using prompts or JSON Schemas. It supports YouTube, TikTok, Instagram, Twitter, and file URLs.

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Technical Specs & Signals

Category🔎Search & Data Extraction
PricingBring your own API key (usage-based cost)
More technical detailsExpand ▾
TransportSTDIO
RuntimeNode.js
AuthAPI key
LicenseMIT
ClientsClaude Desktop, Cursor, Windsurf, VS Code (GitHub Copilot), OpenAI Codex CLI
Last updatedOct 15, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars63
GitHub Star CountTotal stargazers on GitHub representing community popularity (63 stars).
41Quality signal: Fair · 41/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools17/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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