Apex Log MCP Server - AI-powered Salesforce Apex debug log analysis. Find performance bottlenecks, slow methods, SOQL bottlenecks, and governor limit issues.

MCP server that gives AI assistants tools to analyze Salesforce Apex debug logs for performance bottlenecks, slow methods, and governor limit usage.

🚀 Debug server logs in under 30 seconds - AI-powered MCP server with rapid debugging, real-time monitoring, and actionable fixes

An MCP server for real-time Docker log monitoring and cross-container trace correlation. Helps AI assistants debug distributed systems by searching logs, identifying errors, and reconstructing request timelines across multiple containers using trace IDs.

MCP server for evidence-based debugging with runtime logs and reproduction tracking.

MCP server for Salesforce B2C Commerce Cloud development assistance including logs, debugging, and development tools

Logs, traces and LLM calls from every run, live in VS Code: terminals, debug sessions, Docker and OpenTelemetry, next to production in Datadog, CloudWatch, Loki, Elasticsearch, Cloud Logging and SQL databases. Shared with Copilot, Claude Code or Codex over MCP.

LLM-optimized MCP server for Datadog APM, logs, and metrics. Delivers structured, token-efficient trace and log insights designed specifically for AI-driven debugging—not just raw Datadog data.

BetterLogger is a supercharged macOS logging tool that extends OSLog with powerful capabilities, including MCP-enabled access to Xcode logs and multi-lane debugging for faster, clearer insight into your app’s behavior

MCP tool for Production-safe Laravel debugging for Codex CLI using an MCP (stdio) server and an SSH-based diagnostic runner—log access, health checks, curated artisan commands, and optional break-glass operations.

Audit trail database for AI agents. Tamper-evident, checksum-backed decision logs with session replay and time-travel debugging to support EU AI Act Article 12 record-keeping. Drift detection, MCP, Python & TypeScript SDKs. Self-host or cloud.

Debug Node.js from the inside, like Laravel Telescope: every error with the request, queries, logs and jobs behind it, for Express, NestJS, Fastify, Koa and Hono. A free local dashboard, and encrypted monitoring for production

MCP server for React Native runtime debugging — zero-config access to Redux state, AsyncStorage, actions, logs, network, and profiling from your running app

MCP server for React Native runtime debugging — gives Claude access to logs, errors, network, state, storage, and performance profiling from your running app

Read-only Azure MCP server for debugging Azure apps from GitHub Copilot, VS Code and other MCP clients. Logs, metrics, App Insights, App Service, Container Apps and AKS.

A Model Context Protocol (MCP) server that captures and manages stdout logs through a named pipe system. This server is particularly useful for: - Capturing logs from multiple processes or applications and making them available for debugging in Cursor IDE

MCP server for Zuul CI - debug build failures, search logs, manage pipelines, and monitor jobs from Claude, Cursor, or any MCP client

When code is written, modified, or debugged by AI agents, those changes must be validated and reasoned about using structured observability data — not unstructured logs or stdout.

Secure MCP server for Linux server management over SSH, including remote debugging, Docker operations, deployments, logs, health checks and controlled command execution.

Unreal Engine MCP plugin for AI-assisted development. Read and edit Blueprints, materials and assets; inspect logs and debug projects. Free on Fab as NexusMCP.

The only Salesforce MCP with Agentforce, OmniStudio & DevOps Center tools — 228 tools total: objects, flows, Apex (create + read), schema describe, debug logs, permissions, reports, Experience Cloud, Einstein AI.

Open-source, evidence-driven MCP server for RTL simulation debugging: correlate VCS/Xcelium logs, VCD/FSDB waveforms, SystemVerilog/UVM source, hierarchy, and connectivity to trace failures to root cause.

Give your AI agent eyes (screenshot live pages), ears (Sentry/Datadog/Rollbar errors + runtime checks), hands (verify fixes worked), and root-cause tools (source-map trace resolution, git regression blame), and debug tools (run tests, stream logs, query y

MCP server that drives the Chrome/Edge tabs you already have open and signed in — local extension pairing, no remote debugging port, no separate automation browser. Tools for AX snapshots, native click/type/fill/hover/drag/scroll, batch steps, waits, navigation, dialogs, upload, screenshots, JS evaluate and console/network logs.

**An SSH MCP server — a multitool that saves you and your AI agent time and tokens on debugging, development and server maintenance.** Run commands, move files, read logs and audit machines over SSH: a cloud VPS, a bare-metal box, or the BusyBox router in your closet. It uses the OpenSSH client already on your machine — your keys, your `~/.ssh/config`, your jump hosts, your agent forwarding. Nothing bundled, nothing to compile, no native bindings. **18 tools:** run commands and detach long ones as background jobs, move files and whole trees with sha256 verification, search and tail logs, snapshot load and disk, audit a machine in one round trip, check TLS certificates, inspect services. **Built for agents, not for humans.** Answers come back structured, a truncated result is reported as truncated instead of passing for a complete one, and destructive commands are stopped before they run. Works with Claude Code, Codex CLI, opencode, Gemini CLI, Qwen Code, Hermes and any MCP client.

SAP ABAP MCP is a local-first Model Context Protocol server that enables AI coding agents to develop, test, analyze, and operate SAP ABAP systems through the official ABAP Development Tools HTTP services. It supports repository search and source editing, structured DDIC workflows, enhancement inspection, paged package navigation, source-backed object creation, semantic services, activation, ABAP Unit and ATC, transports, abapGit, RAP generation, debugging, bounded class and executable-program profiling, runtime dumps, traces and feeds, cross-system comparison, dependency analysis, guarded refactoring, and an opt-in same-origin Screen/GUI Status bridge. Curated compact, development, and assurance presets reduce tool-schema token use without removing capabilities from the default surface. The default local stdio mode can be extended with governed self-hosted Streamable HTTP, API-key roles, OIDC/JWT authentication, request-scoped SAP bearer forwarding, per-session isolation, rate limits, structured audit logs, or a side-effect-free embeddable Node.js API. It also includes browser OAuth Authorization Code with PKCE, a read-only transport assurance CLI and GitHub Action, BTP service-key profile import, and live-SAP evidence tooling. SAP profiles and credentials remain on the user's computer, with passwords and OAuth credentials protected by macOS Keychain or Windows DPAPI. SAP-dependent capabilities are validated against the user's own SAP release, configuration, and authorizations.

Query Kubernetes resources, logs, and events using SQL like query language — as a CLI and an MCP server for AI assistants.

A tiny, read-only MCP adapter for structured logs you already have.

MCP server for streaming macOS Console.app and iOS device logs — works with Claude, Copilot, and any MCP-compatible AI assistant

Observability engine for AI coding agents. Custom columnar log store, MCP-native, self-hosted on a $4/mo VM. No dashboards — your AI assistant sees production.

Tokenectomy Sentinel — Cut 95% of useless framework noise and token bloat from error logs in Claude & Cursor

MCP server and GitHub Copilot plugin that gives your AI assistant the four views of a local AEM bug: the rendered page, the components and content behind it, that request's logs and the JVM state, joined per HTTP request, without pausing AEM.

Find out what your app did, from its logs to its threads, and ask AI about it (GitHub Copilot or Claude Code, MCP): multi-GB logs, live tail, filters, request tracing, exceptions, thread dumps, GC logs, heap and crash dumps, JVM profiling, SSH. Windows, macOS, Linux.

Standalone connector for BrowserTools MCP. Only needed when several MCP clients must share one browser session — browser-tools-mcp now embeds this automatically.

JetBrains IDE plugin for Seq structured logs: search events, run Seq SQL, inspect signals and dashboards, and expose 15 tools through the built-in MCP server.

MCP server that exposes browser console, error, and network events streamed from the MCP Browser Console Chrome Extension.

MCP server for iOS app testing — see inside your running app: network calls, WebSocket frames, logs, storage, screen layout, and API mocking. Works with Claude Code, Cursor, Codex, Windsurf.

A Model Context Protocol (MCP) server that provides web development tools for AI assistants. Enables browser automation, DOM inspection, network monitoring, and console analysis through Playwright.

MCP Server for Chrome Developer Console Log monitoring via Chrome DevTools Protocol

Read-only MCP server that lets AI diagnose your Python backend: Postgres, Celery, Redis and logs in one call.

MCP for working with laravel-debugbar logs

Android log viewer & logcat analyzer for Windows, macOS and Linux — crashes, ANRs, adb bugreports, DLT.

MCP server for AI coding agents - process management, reverse proxy with traffic logging, browser instrumentation, and sketch mode

Autonomous M2M MCP server that scrubs framework noise & redacts secrets from AI agent error logs before they hit your context window

Inspect a running Flutter app from an AI agent or the CLI: HTTP traffic, logs, exceptions, queries and events captured in memory, read over MCP.

面向人与 AI 协作的共享串口工作台：网页实时日志、交互终端、快捷脚本、操作回溯与人工接管，支持 CLI/MCP。Shared serial workbench for humans & AI: live logs, terminal, scripts, command history, CLI & MCP.

React Native AI devtools: MCP server giving AI agents eyes and hands in your running app (logs, network, state inspection, tap, screenshot). Published as ExecBro.

Give AI hands to touch silicon — an MCP server for SEGGER J-Link, OpenOCD and Black Magic probes. Flash, halt, step, stream RTT logs and decode ARM Cortex-M faults. Verified against real hardware.