Hey PH 👋
I kept seeing people build MCP servers, but once it went live, they had no clear view of how it is being used.
So I built TrackMCP to answer these questions:
🔸 Who is using my MCP server?
🔸 Which AI clients connect and how many are new or keep coming back?
🔸 What are they trying to do? Which tools do they use, in what order?
🔸 Does the work get done?
🔸 Where does the job stop?
Add one line to your server. TrackMCP takes care of the rest, and your data shows up in the dashboard right away.
We also has an MCP repository. If you’re building an MCP server, list it there, it’s free.
Would love to hear from people building MCP servers: what are you currently unable to see?
- Krishna
"where does the job stop" is the question I'd want answered proactively rather than by staring at a dashboard. once you're tracking tool call sequences and outcomes, does TrackMCP ever flag a regression on its own - like a tool's success rate suddenly dropping after a deploy - or is it purely pull, where you have to go looking for the dip yourself?
I helped several companies build their official MCP servers and this was always a key part of it. A very popular question product managers wanted to understand is how the usage of the MCP server differs from the usage of the product via the traditional (aka UI) interface. So this is very cool. As you said, agree that being careful about what data is pulled in is crucial though from the privacy standpoint.
Your site design and product UI are both exceptionally well done. The consistency goes beyond the visual styling; the discipline around hierarchy is especially tight. I used to lead Web UX and Visual Design at Neo4j, so I’m deeply familiar with how difficult it is to represent a complex technical product visually. The “How It Works” block on the homepage is especially strong, and the micro-interactions add a lot without distracting from the explanation. Kudos to the design team.
For the record, not AI generated. AI spellchecked. Im a terrible speller.
So is this a proxy for MCP servers, or does it read the data from the Claude desktop?
Krishna, the part that stuck with me is catching the stuff that looks fine but quietly did nothing. That kind of quiet failure is the worst because you never think to go looking. Genuinely cool.
do u log the tool arguments or only tool names? args carry a lot of user text, but where does the job stop is hard to answer without them
What I can't see is whether the result was any good. A tool returns 200 with an empty array, the agent carries on and answers anyway, so my success rate looks healthy while the answer is wrong. The signal I'd want is what happened in the next turn: did the model retry the same tool, switch to a different one, or quietly ignore what came back. That's the gap between a server that responds and one that works.
About TrackMCP on Product Hunt
“Google Analytics for MCP Servers”
TrackMCP launched on Product Hunt on September 4th, 2026 and earned 103 upvotes and 21 comments, placing #9 on the daily leaderboard. TrackMCP shows who is using your MCP server, what they are trying to do, whether the work gets done, and where to improve. All from one line of code.
TrackMCP was featured in Analytics (173.6k followers), Developer Tools (518.8k followers) and Artificial Intelligence (477.8k followers) on Product Hunt. Together, these topics include over 217.6k products, making this a competitive space to launch in.
Who hunted TrackMCP?
TrackMCP was hunted by Krishna Goyal. 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 TrackMCP stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Krishna Goyal