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MCPulse

Analytics for MCP servers

Developer Tools
Artificial Intelligence
Data & Analytics
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Hunted byLesediLesedi

Find out which of your tools agents get wrong. MCPulse shows you which tools AI agents retry, which come back empty, and which they never call at all. Two lines inside your own server. It never sees your arguments or your results.

Top comment

Hi Product Hunt

I built MCPulse because I published an MCP server and had no idea whether it worked. The directories tell you nothing — not how many people use it, not which tools get called, not whether the model can even understand your tool descriptions.

The thing that surprised me most is on the second image. One tool, search_orders, succeeds on the first try 76% of the time for Claude Desktop and 21% of the time for Cursor. Server-wide it averages out to a flat 62%, which tells you nothing to fix. The description is ambiguous, not the handler — and you cannot see that without splitting every metric by client, which is why every metrics table here is keyed by the client as well as the

tool.

Two things people ask straight away:

It is not a proxy. It is a package inside your own server, so your URL never changes and OAuth keeps working. If MCPulse is down, your server keeps running.

It never sees your data. Sizes and hashes only — there is no column for arguments or results, so it is not a policy I can quietly change later.

Ten languages, one for every official MCP SDK. Free forever and there is a live demo with no signup: app.getmcpulse.com/m/demo

Would love to know what you would want measured that isn't here yet

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About MCPulse on Product Hunt

Analytics for MCP servers

MCPulse was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #156 on the daily leaderboard. Find out which of your tools agents get wrong. MCPulse shows you which tools AI agents retry, which come back empty, and which they never call at all. Two lines inside your own server. It never sees your arguments or your results.

MCPulse was featured in Developer Tools (519k followers), Artificial Intelligence (478.1k followers) and Data & Analytics (5.8k followers) on Product Hunt. Together, these topics include over 206.3k products, making this a competitive space to launch in.

Who hunted MCPulse?

MCPulse was hunted by Lesedi. 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.

Want to see how MCPulse stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.