Why this server?

Captures browser console logs and makes them available in Cursor IDE through the Model Context Protocol (MCP).

Why this server?

A Node.js implementation of the Model Context Protocol that provides secure shell command execution capabilities, allowing AI models like Claude to run shell commands in a controlled environment with built-in security measures. Helpful for inspecting logs.

Why this server?

This server provides tools to inspect error reports, stacktraces, and other debugging information from your Sentry account, which can include console logs.

Why this server?

An MCP server that enables AI assistants to interact with Jenkins CI/CD servers, providing tools to check build statuses, trigger builds, and retrieve build logs.

Why this server?

An enhanced Windows CLI MCP server providing unrestricted system access capabilities, designed for trusted environments with full system access requirements; potentially useful for viewing logs.

Why this server?

Provides access to PyTorch CI/CD analytics data including workflows, jobs, test runs, and log analysis through an MCP interface.

Why this server?

A Model Context Protocol server that enables AI assistants to build and test Xcode projects directly through a standardized interface, with capabilities for running tests, monitoring progress, and accessing logs in real-time.

Why this server?

A collection of Laravel helper tools for integration with Cursor IDE, providing features like log viewing, error searching, artisan command execution, and model information display directly within the editor.

Why this server?

The MCP server provides an interface to the Datadog API, enabling seamless management of incidents, monitoring, logs, dashboards, metrics, traces, and hosts.

Why this server?

An MCP server that enables Large Language Models to retrieve, analyze, and query metric data from Prometheus databases through pre-defined routes.