"C# Azure .NET development assistance" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Honeypot probe data: IP reputation, scanners, CVE probing, TLS and SSH fingerprints.
Exception tracking for .NET. Let your AI coding agent search and triage errors and stack traces.
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).
An MCP server that measures MCP client behaviour and converts EBCDIC to ASCII, which nobody needs.
Directory of remote MCP servers with daily measured reachability, tools and changes.
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
AI data intelligence platform that brings your data warehouse, dashboards, monitoring, and accumulated business knowledge into any MCP client. Connects to BigQuery, Snowflake, PostgreSQL, MySQL, ClickHouse, Redshift, Databricks, SQL Server, and Azure Synapse.
Production errors and incidents for your agent: stack traces, breadcrumbs, likely causes, triage.
Ask about AWS, Azure, GCP, OpenAI, Anthropic and Snowflake costs, budgets, and anomalies.
Live browser debugging for AI assistants — DOM, console, network via MCP.
Website carbon footprint auditor. CO2/page, grade A–F, green hosting check, and recommendations.
Google Search Console for AI assistants: traffic, rankings, indexing and page checks. Read-only.
186 real AI agent post-mortems, 107 of them measurement failures. Free tools, paid via x402.
Record agent tasks, get back how many finished without a human. Closed beta, nothing billed.
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.
Marketing intelligence MCP server providing campaign performance data and analytics tools.
MCP server (stdio): check if URLs are alive (status, redirects, latency) via the AgentForge API
