TrackMCP
One-line analytics integration for MCP servers, showing which AI clients connect, tool adoption, and silent failures
🔗 Visit TrackMCP
Description
As more products ship an MCP (Model Context Protocol) server so AI agents like Claude or Cursor can use their tools, most of those servers run with zero visibility into who's actually calling them or what's silently breaking. TrackMCP wraps your existing server with one line of code and turns that blind spot into a dashboard.
It tracks which AI clients connect (Claude, Cursor, ChatGPT, or custom agents), groups calls into sessions to show real usage and tool-adoption patterns, and specifically hunts for silent failures and schema mismatches that wouldn't otherwise surface. Rather than raw metrics, it synthesizes the data into plain-English weekly insight reports with concrete recommendations, and ships SDKs for both TypeScript and Python.
💬 Our review
The short version: if you've shipped an MCP server and have no idea whether anyone's actually using it correctly, TrackMCP's one-line wrap is a fast way to find out — the plain-English weekly report is the actual selling point over raw dashboards.
The MCP observability space is brand new, so there isn't an established competitor with years of track record; the nearest comparisons are general APM tools like Datadog (overkill for a single MCP server) or newer MCP-specific tools like MCPcat. TrackMCP's edge is that it's purpose-built for MCP's specific failure modes (schema mismatches, silent tool failures) rather than adapted from general API monitoring, which matters because MCP's client-tool call pattern doesn't map cleanly onto typical REST API monitoring. Pricing isn't public, which is the main friction for evaluating cost before signing up — reasonable given the market is this early, but worth confirming before wide deployment.
📊 Global score
🤖 AI-enriched data
Non précisé publiquement — nécessite une inscription pour voir les tarifs.
Pros
Intégration en une ligne de code, overhead d'implémentation minimal
Rapports hebdomadaires en langage clair avec recommandations concrètes plutôt que des tableaux bruts
Détecte spécifiquement les échecs silencieux et incompatibilités de schéma propres au MCP
Cons
Tarification non publiée, nécessite une inscription pour la voir
Marché de niche : limité à l'écosystème des serveurs MCP
Produit encore jeune, peu de recul sur la fiabilité à long terme