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"Full-Stack MEAN CRUD Development" matching MCP connectors:

GET /v1/connectors – MCP directory API reference

Matching Connector Tools:

  • Vigilia watches your live app, explains every problem in plain language and writes the fix prompt. Your AI fixes it; Vigilia confirms with real traffic. Vigilia watches web apps that are live with real users, including apps built with Lovable, Bolt, v0, Cursor and Claude Code. It catches errors, failed requests and downtime, explains each problem in plain language, and writes a fix prompt for it. Connect Vigilia to Claude and ask what's broken. Claude lists your open incidents worst first. For each one it reads the plain-language diagnosis, who it affects, the technical evidence (error, page, failing request, stack frames and what the visitor did right before) and Vigilia's fix prompt. In Claude Code or another coding agent, Claude can then fix the cause in your own codebase. Once you've deployed, it marks the incident fixed, and Vigilia watches real traffic to confirm the error stayed away. If it comes back, the incident reopens as a regression. You can also ask how an app is doing (uptime, open incidents, today's traffic), get the exact install snippet for a new project, and check that a live site is running Vigilia. Vigilia never reads or changes your code: the fixing happens in your session, by your AI, in front of you. The only tool that changes anything is marking an incident fixed (the install check just records its result on the app), and you can connect with read-only access. Your data is stored in the EU. Emails, tokens and card numbers are stripped from what visitors' browsers send, and only that scrubbed error context is sent to Anthropic to write the diagnosis. Requires a Vigilia account. The free plan covers one app; reporting backend errors (Supabase, Next.js routes, Workers) is part of Pro.

  • Read your Condux issues, events and stack traces (deminified with source maps). Triage optional.

  • Converra (converra.ai), not Convera, fixes the behavior, not the code. Diagnoses production agent failures, tests bounded prompt or configuration fixes head-to-head, ships what you approve, and reports a production verdict on every fix. Streamable HTTP; OAuth or API-key bearer auth. Docs: https://converra.ai/docs/mcp/coding-agents?utm_source=glama&utm_medium=referral&utm_campaign=mcp_registry_2026_10 . Full tool catalog and install commands: https://github.com/converra/converra-agent-kit/blob/main/SUBMISSION.md

  • Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.

  • Dead-man switch monitors for cron & AI agents with dependency-cascade alerts. No account needed.

  • Dead-man switch for AI agents & cron jobs: heartbeat with state capsule, alerts + resume links

  • Nephia is a brand monitoring service, and this is its remote MCP server. Claude, Cursor, ChatGPT or any MCP client can read the mentions your brand gets on 14 sources: X, Reddit (posts and comments), YouTube, TikTok, Bluesky, Hacker News, Mastodon, Lemmy, GitHub, Product Hunt, Stack Overflow, any RSS feed, Vinted, and AI answers from ChatGPT, Gemini and Perplexity. Every mention arrives already read, with its sentiment and intent, so an agent can answer plain questions: which complaints came in since Friday, what Reddit said about us this week. The source is an argument, not a tool, so one call reads every source you watch. Sign-in is OAuth in the browser: no API key to copy. The consent screen has three permissions: read your mentions and Queries, change what is running (pause, resume, retire), and spend credits (semantic search and AI passes), which arrives unticked. Every tool description states its cost, so a model can budget before it spends. The server is on every plan, Free included, and reading your own mentions through it costs nothing.

  • Hosted MCP server for RudderStack. Ask Claude, ChatGPT, Cursor or Codex why events failed, which warehouse loads broke, or where your tracking plan is violated. Write and test transformations on sample events before deploying. OAuth login, your existing permissions, PII masked.

  • Production bugs with replay, network, console and stack, ranked for your coding agent to fix.

  • The Polar Signals MCP server enables AI assistants to connect directly with performance profiling data, allowing users to analyze application performance through natural language queries. Key capabilities include querying CPU performance and memory usage, exploring profiling metadata like profile types and labels, and providing AI-driven code optimization suggestions directly within development environments like Claude Code or Cursor.

  • SEO analysis for sites you own: Google Search Console, GA4, PageSpeed, and full site audits.

  • Monitor, troubleshoot, and optimize your technology stack with Intelligent Observability.