"Debugging WebRTC SDK Implementation Issues in Visual Studio 2019" matching MCP connectors:
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Find your AI agent's likely failure mode, get runtime settings, and clarify ambiguous prompts.
Scores a business's online presence 0–100 and names the top issues to fix — search visibility, whether AI assistants can read and recommend it, speed and first impression, trust, and how easy the business is to reach. Give the scan_website tool a URL and it returns the score with the top issues, in chat. English and Arabic. By BottleTech (bottletech.net).
Ask about your Dreambooth Studio photobooths: sessions, revenue, credits, projects, device status.
Stateful WebSocket session registry with per-connection Shannon entropy delta tracking for schema di
Give AI coding agents access to your Vynix visual feedback, bug reports, and AI diagnosis.
Query analyzed WebRTC sessions: observations, deductions, experience scores, and AI summaries.
Public-site SEO/AEO readiness scans with evidence scores, issues, and clear measurement scope.
Uptime and website monitoring for AI agents. Query monitor status, incidents, heartbeats, domain expiry, and status pages in your Vantaj Uptime workspace.
Synplex provides inventory health scoring, landed cost calculation, and quick inventory diagnosis tools for Shopify merchants. It enables AI assistants to assess stock performance, calculate true product costs including duties and shipping, and instantly surface inventory issues.
Connect Google Analytics to ChatGPT. Query GA4 data in plain English and get instant insights.
Mezmo MCP is a remote Model Context Protocol (MCP) server that lets AI assistants and IDE chat agents interact with the Mezmo observability platform via the Model Context Protocol. Use it for streamlined observability, log analysis, and root-cause analysis in your favorite tools. Add Mezmo MCP and you can: 🕵️ Run advanced Root-cause analysis over recent logs 📦 List and describe Pipelines 📤 Export and filter Logs with powerful query syntax
Analyze web performance and get optimization insights from GTmetrix, directly in your AI workflow.
Third-party signed reads of how an AI agent behaved: drift, vows, and the town it works in.
Ships with 42 pre-built text processing agents (sentiment analysis, keyword extraction, SEO metadata, code explanation, grammar checking, and more) totaling 259 endpoints. All code runs sandboxed in isolated child processes. Supports Streamable HTTP and stdio transports. Includes rate limiting, caching, analytics with p50/p95/p99 latency tracking, and a web dashboard.
Live browser debugging for AI assistants — DOM, console, network via MCP.
Interact with a global network measurement platform.Run network commands from any point in the world
Enable secure connectivity between Sentry issues and debugging data, and LLM clients, using a Model Context Protocol (MCP) server.
The statistical analyst in your AI chat — validated, citable, re-runnable analysis of your data.
Query metrics, targets, entities, and team data in your Steep workspace via MCP.
Look up DNS information for any domain to troubleshoot issues and gather insights. Get fast, relia…
