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web-check-mcp
Agentic wrapper over web-check: 31 OSINT checks exposed…
Agentic wrapper over web-check: 31 OSINT checks exposed as MCP tools and CLI, with caching, rate limiting and Docker support. Python, MIT licensed, standard library first — the tool reads what you point it at and sends nothing anywhere. Source, docs and issue tracker: https://gitlab.com/ameobius-ai/web-check-mcp
About web-check-mcp on Product Hunt
“Agentic wrapper over web-check: 31 OSINT checks exposed…”
web-check-mcp was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #225 on the daily leaderboard. Agentic wrapper over web-check: 31 OSINT checks exposed as MCP tools and CLI, with caching, rate limiting and Docker support. Python, MIT licensed, standard library first — the tool reads what you point it at and sends nothing anywhere. Source, docs and issue tracker: https://gitlab.com/ameobius-ai/web-check-mcp
On the analytics side, web-check-mcp competes within Security — topics that collectively have 3k followers on Product Hunt. The dashboard above tracks how web-check-mcp performed against the three products that launched closest to it on the same day.
Who hunted web-check-mcp?
web-check-mcp was hunted by Ameobius AI. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of web-check-mcp including community comment highlights and product details, visit the product overview.


Hi! web-check-mcp — Agentic wrapper over web-check: 31 OSINT checks exposed as…. Open source, MIT, standard library first. Source, docs and issue tracker: https://gitlab.com/ameobius-ai/w.... Feedback on the behaviour is welcome.