MCP Log Server
Node.js MCP HTTP log ingester enabling AI agents (e.g., Cursor IDE) to analyze live/historical logs and propose fixes.
Project Description
🔧 Project: AI-Assisted Log Ingester with MCP Integration
You’re building a Node.js-based log ingestion server that exposes log analysis tools via the Model Context Protocol (MCP), using HTTP transport. The goal is to enable AI agents like the Cursor IDE to connect, observe live or historical logs, and proactively suggest improvements — such as detecting recurring errors, missing context, or performance bottlenecks.
This creates a feedback loop where AI can “watch” logs in real time, analyze them, and propose code or config fixes on the spot, making debugging and optimization more autonomous.
🧠Core Components:
Log ingester that stores structured log entries (e.g. in SQLite)
MCP server exposing tools like get_recent_logs
HTTP interface for AI agents to query logs
Cursor IDE integration to enable agentic improvement suggestions
Prior Work
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