"Lens" matching MCP servers:

An MCP server for supply chain intelligence that enables conversational querying of eight operational KPIs and anomaly detection data through Claude. It allows users to analyze performance metrics like OTIF and inventory turnover while providing LLM-generated root-cause explanations.

A 100% local development monitoring tool that captures browser console logs, network requests, and backend server output for analysis by AI assistants via MCP. It enables LLMs to debug applications by providing structured, real-time access to full-stack log data and persistent local storage.

Enables LLM agents to search and analyze Elasticsearch logs for errors, detect recurring patterns, analyze error-rate trends, and retrieve full trace context through MCP tools.

SSH Linux metrics, baselines, anomaly detection, and plain-English infrastructure explanations.

Enables explaining Linux incidents over SSH with baseline-aware MCP tooling, including live diagnostics, SQLite history, and review-first workflows.

Provides cost analysis of AI agent usage by previewing scrubbed metadata before upload and analyzing spend, cache-hit rates, and waste recovery through a local or remote server.

Enables incident responders to query and correlate observability and DevOps evidence across Grafana, Prometheus, Loki, Uptime Kuma, CloudWatch, IAM, and PostHog from a local MCP client, with bounded reads and redacted audit records.

A local, detection-first Windows MCP server that groups Device Manager interfaces into physical devices, provides explanations, and enables read-only inspection and update auditing without modifying any devices or drivers.

Bridges AI agents to the Lenx.ai social media monitoring API, enabling task management like listing, creating, and exporting monitoring data.