"C# Azure .NET development assistance" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Exception tracking for .NET. Let your AI coding agent search and triage errors and stack traces.
Psyche audits for AI agents: declared vs self-reported vs revealed objectives, diffed and flagged.
Dead-man switch for cron and webhooks: ingest URL, miss detection, alerts and a status feed.
{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"whoami","arguments":{}}} free no key
Read-only cloud cost and infrastructure governance across AWS, Azure and GCP. 85 tools covering cost overview and trends, cost by provider/resource/tag/team, budgets, resources, schedules, recommendations, tagging policies, audit logs, anomalies, Kubernetes resources and pod logs. Hosted remote server, nothing to install. Docs: https://zop.dev/learn/mcp-server?utm_source=glama&utm_medium=listing&utm_campaign=mcp-directory Claude setup: https://zop.dev/learn/how-to/set-up-zopnight-mcp-for-claude
Production errors and incidents for your agent: stack traces, breadcrumbs, likely causes, triage.
186 real AI agent post-mortems, 107 of them measurement failures. Free tools, paid via x402.
Connect AI assistants to AppAmbit — the command center for your mobile & desktop apps. Query real-time analytics, sessions, and crash reports; read and push remote config; send push notifications, provision and query managed per-app SQLite databases, deploy serverless Cloud Code functions; and manage a headless CMS. Also generates SDK setup snippets and runs integration diagnostics. Supports .NET MAUI, Swift, Objective-C, Android and more. Built for indie devs, mobile teams, and agencies.
Read-only web analytics from Pulse: your sites, totals, trends, breakdowns and realtime visitors.
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.
Company analytics for Deepgent workspaces: usage, conversations, quality, billing, KB status.
