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mcpspan
Analytics for MCP servers: see how AI agents use your tools
mcpspan shows how AI agents actually use your MCP server: which tools they call and from which client, how long calls take, how they fail, and what agents ask for that your server doesn't have. It also shows what your tool list costs agents in tokens, and which tools they never use. Open source (MIT), with SDKs in eight languages: TypeScript, Python, Go,NET, Java, Rust, Ruby and PHP. Self-host it free with every feature, or let mcpspan Cloud run it.
Hello! I'm the maker of mcpspan.
Once an MCP server is live, its users are AI agents, and nothing tells you how they actually use it: which tools they pick, where they get stuck, what they ask for that isn't there.
mcpspan answers that. One line in your server, and the dashboard shows:
- tool calls, resource reads and prompt gets per client (Claude, Claude Code, Cursor, ChatGPT, VS Code and others), with latency per tool
- failures split by kind: a handler that threw, a tool that returned an error, arguments refused before the handler ran (and which argument)
- tools agents asked for that your server doesn't have, with the closest name it does have
- sessions step by step, calls an agent repeated with the same arguments, and what came right before a failure
- what your tool list costs agents in tokens, and which tools they never use
Privacy: parameter values never leave your server's process, and error messages can be turned off.
SDKs for TypeScript, Python, Go, C#, Java, Rust, Ruby and PHP, all checked against one written contract by the same test suite.
It's open source (MIT) and free to self-host with every feature: https://github.com/mcpspan/mcpspan
If you'd rather not run it, mcpspan Cloud hosts it for you, with a 14-day trial and no card.
Most features came from feedback on the first release, so I'd love to hear what you'd want to know about how agents use your server.
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About mcpspan on Product Hunt
“Analytics for MCP servers: see how AI agents use your tools”
mcpspan was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #154 on the daily leaderboard. mcpspan shows how AI agents actually use your MCP server: which tools they call and from which client, how long calls take, how they fail, and what agents ask for that your server doesn't have. It also shows what your tool list costs agents in tokens, and which tools they never use. Open source (MIT), with SDKs in eight languages: TypeScript, Python, Go,NET, Java, Rust, Ruby and PHP. Self-host it free with every feature, or let mcpspan Cloud run it.
mcpspan was featured in Open Source (69k followers), Analytics (174.3k followers), Developer Tools (521.8k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 157.3k products, making this a competitive space to launch in.
Who hunted mcpspan?
mcpspan was hunted by Kacper. 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 mcpspan stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Kacper