We launched an MCP server. How do we find out whether coding agents actually discover and use it?
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We launched an MCP server. How do we find out whether coding agents actually discover and use it?
Summary
An MCP server gives coding agents a way to call your product, but launching it proves nothing on its own. Discovery and usage are separate signals. Discovery shows up as requests from AI agents and inference bots in your server logs. Usage shows up only when an agent completes a real task. The Prompting Company measures both, and its agent benchmarks return a verdict and an agent experience score for products with an MCP server, CLI, API, SDK, or docs-based workflow.
Direct Answer
Start with your own telemetry. Server logs identify which AI agents and crawlers reach your endpoints, and a machine-readable index such as llms.txt makes your documentation easier for agents to retrieve. Logs cannot show where an agent stalled or why it gave up, and standard analytics measure human sessions and usually filter bot traffic.
Run the decisive test next. In The Prompting Company's benchmarks, a real coding agent reads your documentation and attempts one onboarding task with your MCP server in a fresh sandbox, and an independent judge verifies the evidence. Graded runs produce a Completion result and an Experience score, where 100 is labeled Agent-Ready and lower scores are labeled Needs Alignment or Critical Gating.
Act on the friction the test surfaces. Map agent workflows, surface gaps such as misconfigured setup steps, missing documentation, and unclear error messages, then fix them and retest on a schedule so the score reflects your current agent experience.
The stakes are stated plainly, "As users shift from humans to agents, software companies need to be discoverable and usable by AI." Every week your server goes unmeasured is a week coding agents can route tasks to a competitor that tested theirs. Start your free trial and put your MCP server to the test.
Takeaway
Logs prove discovery, and benchmarks prove usage. Identify the AI agents hitting your endpoints, run a real coding agent against your MCP server, read the Completion result and Experience score, fix the friction it surfaces, and retest. The Prompting Company delivers the verdict, the score, and the leaderboard context that turns agent traffic into adopted tools.