Open-source cookbook for the Stormy Social Data API and MCP server (Model Context Protocol) — one REST API for the TikTok API, YouTube API, Instagram API, LinkedIn API, X (Twitter) API and Reddit API.
Stormy Cookbook — TikTok, YouTube, Instagram, LinkedIn, X and Reddit API recipes for AI agents
Open-source, copy-pasteable recipes for the Stormy Social Data API and the Stormy MCP server (Model Context Protocol, Streamable HTTP).
One HTTP contract — search, profile, emails, jobs — across six social networks. No proxy pool, no six vendor SDKs, no scraper to babysit. Point your agent at https://stormy.ai/mcp, or curl the REST base at https://stormy.ai/api/v1.
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Every "get social data" project starts the same way: six different APIs, six auth schemes, six rate limits, six response shapes, and a scraper that breaks on a Tuesday. Then you bolt an LLM on top and discover none of it is shaped for an agent — no cost signal, no idempotency, no durable jobs, no machine-readable capability list.
Stormy is that layer, already built. This cookbook is how you use it.
The Stormy MCP server speaks Streamable HTTP at https://stormy.ai/mcp and authenticates with an HTTP bearer token. Get a key at stormy.ai/account and export it:
Tool What it does --- --- searchpeople(platform, query, limit=10, fresh=false) Search one network from a natural-language query lookupprofile(target, platform=null, fresh=false, includeposts=false) Resolve a URL / @handle / channel ID to a normalized profile findemails(platform, targets) Verified contact emails for 1–25 Instagram, TikTok or YouTube profiles estimateprice(quantity=100, includeemail=false) Rate card + a maximum estimate, spends nothing accountstatus() Plan, r
From the project README.
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TikTok MCP server by HasData: public profiles, videos, comments and keyword search as JSON, over streamable HTTP.
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