Point Claude, ChatGPT, Perplexity, Gemini, Cursor, Cowork, or Codex straight at your PostSnag data and ask questions in plain English.
You've captured hundreds of Facebook posts across dozens of profiles, pages, and groups, but getting to the insight inside it means opening the dashboard, setting filters, exporting a CSV, and reading rows until your eyes cross. Meanwhile you already spend your day inside Claude or ChatGPT, and the gap between having the data and having the answer is manual labor that has nothing to do with the actual thinking.
A PostSnag MCP server: a secure connection that lets any MCP-compatible AI tool read and query your PostSnag data on demand, instead of you translating a question into filters and sorts yourself.
Your own library. Every profile, page, and group you've scanned, queryable all at once.
The wider PostSnag dataset. Opt-in, fully encrypted, aggregate-only benchmarks, never personal data.
A live scan on demand. Ask about a profile you haven't captured yet and PostSnag scans it fresh.
Connect PostSnag once inside your AI tool of choice, then just ask it questions in plain English, like comparing two pages' posting habits or naming a fitness page's most common opening lines. The AI handles the querying and comparison against your real captured data and hands you the answer inside the same conversation.
Answers in seconds to questions that used to mean an export and a spreadsheet.
Every AI tool you already use turns into a Facebook research assistant.
Benchmarks that tell you not just what a page did, but whether that's actually good.
You're prepping a pitch for a client in the pet niche. In Claude, you ask PostSnag to scan the client's page plus their three biggest competitors and summarize posting cadence, top formats, and the highest-overperforming posts for each, and ninety seconds later you have the raw material for the pitch, grounded in real data.
The MCP server turns your entire captured library into something you can interrogate in plain language, making your snapshots, benchmarks, hook library, and overperformance scores all reachable with a single question. It's the cleanest path for power users to fold PostSnag into bigger automated workflows.
Operators who already run their day inside Claude or ChatGPT, technical marketers who want answers without a dashboard tour, and agencies who need research back fast.
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In Progress
Feature Request
About 2 months ago

PostSnag
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In Progress
Feature Request
About 2 months ago

PostSnag
Get notified by email when there are changes.