"How to view console logs in a development environment" matching MCP servers:

CI health reports for GitHub Actions: flaky tests named from logs, wasted compute priced in dollars, zombie crons, PR feedback time, plus 21 lint rules with safe auto-fixes. Read-only MCP tools wrap the same Go binary.

Read-only MCP server for aggregate HitKeep analytics and official documentation, including traffic, events, goals, funnels, ecommerce, Search Console, and AI visibility reporting.

SuperDev is a local-first desktop app + MCP server that gives AI coding agents (Claude Code, Codex, Cursor — anything MCP-compatible) access to the runtime: live and historical logs across services, breakpoints in already-running processes (same PID, no restart), real browser control, and DAG deploy pipelines — with human approval and an audit trail on protected writes.

Seamlessly bring real-time production context—logs, metrics, and traces—into your local environment to auto-fix code faster.

Enables AI assistants and LLMs to query SigNoz observability data (metrics, traces, logs, alerts, dashboards) using natural language.

The official Hostim MCP server, built into the hostim CLI. An agent can deploy a Docker image or a Git repository, create managed Postgres, MySQL and Redis, add volumes and custom domains, and read app status, logs and events. Hostim runs on EU bare metal in Falkenstein, Germany. Read-only by default; tools that create, change or delete need --allow-write.

MCP Server for Kubernetes Audit Logs.

A command-line interface and MCP server for managing and monitoring multiple development services through a unified terminal UI. It enables users to interact with service logs, filter messages, and control development environments directly via Model Context Protocol integration.

Enables AI assistants to inspect a Crossplane control plane read-only, discovering managed, composite and claim resources, tracing composition trees, and explaining failures with events and reasons. It also surfaces package health, composition definitions and validation, environment and runtime configs, and overall diagnostics across multiple clusters.

Enables AI agents to send HTML documents to a local viewer, where they are stored and displayed in a live web UI for browsing and searching.

An MCP server to create secure code sandbox environment for executing code within Docker containers.

A high-performance Model Context Protocol (MCP) server for Trino implemented in Go.

A modern community hub with forum and knowledge base. Native MCP built-in, ready for the next era of internet culture.

MCP server that provides 25 tools for AI agents to query and modify a dependency graph, enabling impact analysis and provenance tracking for AI-assisted development.

LLM Optimizer is an AI visibility intelligence platform. It analyzes how large language models and AI search engines perceive, cite, and recommend brands; then provides research-backed optimization strategies to improve that visibility.

This is a Model Context Protocol (MCP) server implemented in Go, providing a tool to analyze Go pprof performance profiles.

Enables coding agents to debug backend requests by providing tools to list, view, wait for, diagnose, and clear request traces.

A Model Context Protocol (MCP) server that enables LLMs to run ANY code safely in isolated Docker containers.

Manages multiple development services with colored logs, filtering, and MCP integration for Claude Code.

https://gopls-mcp.org/ MCP server for golang projects development: Expand AI Code Agent ability boundary to have a semantic understanding and determinisic information for golang projects.