"Debugging WebRTC SDK Implementation Issues in Visual Studio 2019" matching MCP servers:

A server that enables retrieval of Sentry issues through two simple tools - get a specific issue by URL/ID or get a list of issues from a project.

Enables AI agents and Amazon Alexa+ skills to orchestrate desktop load-testing workflows hands-free, including launching closed-loop or ramp-up traffic campaigns, streaming live RPS and P50/P95/P99 telemetry, gracefully halting runs, and retrieving bilingual executive capacity audits. Tools are Zod-validated and exposed over stdio with built-in circuit-breaker safety monitoring.

Website monitoring for AI assistants. Visual Sentinel catches pages that look broken even when the site is up. DNS, SSL, speed and website checks need no account; monitors, incidents and alerts need an API key (Business and Agency plans).

Helps debug conversion tracking issues across GoHighLevel, Meta CAPI, webhooks, and GTM by providing tools to fetch events, contacts, logs, and perform full analysis.

Paid remote MCP for AI Studio Workspace with approval gate, structured receipts, audit logs, and reviewer-ready evidence, enabling workspace change checks, model run approval, spend estimation, and audit export.

A stateless MCP server for incident lab operations, exposing MCP and health endpoints, with conformance testing.

LLM benchmark rankings, score history, drift status, incidents and provider status from AI Stupid Level, plus route previews and answers through its OpenAI-compatible Smart Router.

Enables AI assistants to query and analyze AI agent sessions from observability providers like Shepherd (AIOBS) and Langfuse, allowing users to debug agent runs, compare sessions, track performance, and analyze LLM usage patterns.

Enables AI clients speaking MCP over stdio to query a self-hosted Sencho hub read-only, listing nodes, stacks, container health, update and rollback readiness, and fleet health with no write, log, file, or shell tools.

Enables state-aware Terraform/OpenTofu plan evaluation against live AWS topology and CloudWatch telemetry, detecting reliability blast radius and FinOps waste before merge.

Enables AI assistants to answer operators' questions about their Dreambooth Studio booths via a read-only API wrapper, providing session, project, revenue, credit, and wallet data with OAuth device flow authentication.

Enables managing and debugging Azure Logic Apps through natural language, with tools for listing, debugging, creating, updating, and deleting workflows.

Tracks AI agent token usage and spending in real time, with budget alerts, per-task cost breakdown, and a visual dashboard.

aimdb-mcp provides an MCP server implementation that enables Large Language Models to interact with running AimDB instances for introspection, debugging, and monitoring.

Enables interaction with Glitchtip error tracking platform through natural language. Provides access to issues, events, projects, teams, and organization management for comprehensive error monitoring and debugging.

A Model Context Protocol server that enables retrieving and analyzing Sentry issues, including stacktraces and debugging information.

Offline Python MCP server that audits Zapier, Make and n8n lead pipelines and lists where inbound leads are silently dropped.

An AI-powered server that provides rapid debugging of server logs with actionable fixes in under 30 seconds, featuring real-time monitoring and root cause analysis through Google Gemini integration.

Honeycomb MCP (Model-Controller-Presenter) Server implementation

A Model Context Protocol server that retrieves and analyzes Sentry.io issues, allowing users to inspect error reports, stacktraces, and debugging information from their Sentry account.

The Octri CLI's MCP server. Push OpenAPI specs, build SDKs in ten languages, publish API docs, and triage production SDK errors from your AI assistant.

An MCP server implementation for accessing Google Analytics 4 (GA4) data, built using the Model Context Protocol TypeScript SDK.

An implementation of the Model Context Protocol that provides AI clients with intelligent diagnosis and analysis capabilities for StarRocks databases. It enables users to execute SQL queries, monitor storage health, and analyze performance issues through natural language interfaces.

Enables read-only, stack-aware diagnostics for microservices on Kubernetes, turning debugging runbooks into conversational tools that investigate slow requests, changes, leaks, and in-pod conditions without exposing cluster credentials.

A smart debugging agent that remembers errors, automatically diagnoses issues, and accumulates solutions for faster resolution.

Connects AI assistants to the Invariance observability platform, enabling natural language queries of traces, monitors, and signals to investigate issues and analyze agent behavior. Supports debugging, monitoring, and evaluation dataset management through Claude Desktop, Cursor, and Claude Code.

Enables Pi to connect to Sentry's MCP endpoint, allowing an agent to search issues, events, and traces after OAuth sign-in.

Enables coding agents to control and inspect a live Chrome browser for reliable automation, in-depth debugging, and performance analysis via Chrome DevTools.

Enables AI assistants to retrieve and analyze Sentry issues, including error reports, stacktraces, and debugging information from Sentry.io.

MCP server for visual monitoring: take screenshots of URLs and detect visual changes against stored baselines.