MCPInsight — Monitoring & Evaluation for MCP Servers

Help developers see how AI clients use their MCP servers and evaluate performance.

Problem

When users interact via AI clients like ChatGPT or Claude, developers can't see what users prompted, how the agent interpreted it, or whether their MCP server helped achieve the desired result. This makes optimization and user experience improvement difficult.

Solution

Provides a lightweight SDK or proxy to capture interactions between MCP servers and AI clients, including requests, responses, latency, and errors. A dashboard shows common query patterns, success rates, and supports A/B testing of response strategies.

Users

Indie developers building MCP servers, small AI product teams.

MVP

An embeddable logging library compatible with major MCP frameworks; basic dashboard showing request volume, error rates, and response times; anonymized query intent logging; data export.

Revenue

Free basic tier; premium tiers by event volume, starting at $29/month.

Why now

MCP adoption is growing rapidly but observability tools are lacking. Indie developers can fill this gap early.