"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.

Six-layer website monitoring (uptime, performance, SSL, DNS, visual regression, content change) from Claude, Cline, and Cursor. Free tools (DNS lookup, SSL check, speed test, website checker) work without an account; monitor, incident, alert, and status-page tools use a personal API key.

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.

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

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 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.

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.

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.

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.

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 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.

Exposes VS Code diagnostic problems like errors and warnings in real-time to AI agents via the Model Context Protocol. It enables AI tools to see compilation and linting issues directly from the problems panel to provide context-aware debugging and automated fixes.