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TrackMCP
See how your MCP server is being used
One-line integrationWorks with Claude, Cursor, ChatGPTOfficial TypeScript and Python SDKsReal-time dashboardDetects silent agent failures
Opportunity score
66/100
TrackMCP is a strong product insight in an emerging developer-tool niche, but revenue and distribution are unproven.
Founder verdict
MAYBE
TrackMCP is a well-positioned early entrant in a fast-growing niche, but standalone analytics has limited proven revenue and is easily copied.
What is TrackMCP?
TrackMCP is an analytics and observability layer for Model Context Protocol (MCP) servers. It wraps an existing MCP server with one line of code and captures tool calls, groups them into sessions and workflows, attributes traffic to AI clients, and detects failures such as schema mismatches or agent retries. The landing page emphasizes actionable insight over raw dashboards, showing plain-English recommendations like a tool failing 94% of calls because agents send a string but the schema expects an array. Pricing, revenue, growth, and team size are not publicly disclosed. The product appears early-stage and targets MCP server developers and maintainers in a fast-growing but still emerging AI developer ecosystem.
Get the full TrackMCP playbook
The complete reverse-engineering — what to copy, what to avoid, and exactly what to build instead.
- Full opportunity score across 8 dimensions
- The real problem & why customers pay
- Why it's winning — with evidence
- Complete business reverse-engineering
- Competitive advantages & moat analysis
- Weaknesses, risks & what to avoid
- Clone strategy — what to build instead
- Week-by-week MVP roadmap
- Recommended technical stack
- Founder verdict & highest-leverage move