MCP server
One URL — https://mcp.scrapersocial.com — puts all 226 endpoints across 32 platforms in reach of your agent. Sign in with OAuth or paste an API key, and it can transcribe videos, pull stats, read comments and search.
Settings → Connectors → Add custom connector, then paste the server URL:
https://mcp.scrapersocial.com
OAuth sign-in — no key to copy. Works on web, desktop, and mobile.
One command in your terminal:
claude mcp add --transport http \ scrapersocial https://mcp.scrapersocial.com
Approve the OAuth prompt on first use, or set an Authorization header with your key.
Add to .cursor/mcp.json:
{
"mcpServers": {
"scrapersocial": {
"url": "https://mcp.scrapersocial.com",
"headers": { "Authorization": "Bearer sk_live_..." }
}
}
} Any client that supports remote MCP servers (streamable HTTP) works: add https://mcp.scrapersocial.com as a connector and authenticate with OAuth or a bearer key.
URL: https://mcp.scrapersocial.com
Auth: OAuth 2.1 (PKCE) or
Authorization: Bearer sk_live_... Tools take a URL, handle or query plus the platform, and return the same clean JSON as the REST API. The last two reach anything the others don't wrap: list_endpoints finds the endpoint, call_endpoint runs it.
> transcribe the last 10 videos from @handle and summarize the themes
Chains get_channel_posts → get_transcript × 10, then the model summarizes.
> compare engagement on our last 5 posts vs @competitor's
Two get_channel_posts calls, one table — no glue code.
> what are people saying in the comments of this launch video?
get_comments with the URL, then sentiment and quotes from the model.
More in the docs: AI agents guide · transcribe a channel · social listening pipeline
100 free trial credits, no card — enough to transcribe a dozen videos.
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