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Add freshprobe MCP server to Monitoring section

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Sudhan30
2026-04-02 05:50:44 +00:00
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@@ -1547,6 +1547,7 @@ Access and analyze application monitoring data. Enables AI models to review erro
- [Higangssh/homebutler](https://github.com/Higangssh/homebutler) [![homebutler MCP server](https://glama.ai/mcp/servers/Higangssh/homebutler/badges/score.svg)](https://glama.ai/mcp/servers/Higangssh/homebutler) 🏎️ 🏠 - All-in-one homelab management MCP server. Monitor system resources, manage Docker containers, Wake-on-LAN, scan networks, check open ports, and run alerts — across multiple servers via SSH. Single 10MB binary, zero dependencies.
- [gsmethells/preflight-mcp](https://github.com/gsmethells/preflight-mcp) [![gsmethells/preflight-mcp MCP server](https://glama.ai/mcp/servers/gsmethells/preflight-mcp/badges/score.svg)](https://glama.ai/mcp/servers/gsmethells/preflight-mcp) 🐍 ☁️ - TrustPilot for APIs — independent reliability ratings for APIs and MCP servers, powered by synthetic probes and crowdsourced agent telemetry.
- [seekrays/mcp-monitor](https://github.com/seekrays/mcp-monitor) 🏎️ 🏠 - A system monitoring tool that exposes system metrics via the Model Context Protocol (MCP). This tool allows LLMs to retrieve real-time system information through an MCP-compatible interface.（support CPU、Memory、Disk、Network、Host、Process）
- [Sudhan30/freshprobe](https://github.com/Sudhan30/freshprobe) 🏎️ ☁️ 🏠 - Data freshness verification for AI agents. Probes endpoints for HTTP cache staleness, latency percentiles, content fingerprinting, TLS health, DNS timing, and redirect chains. Returns deterministic FRESH/STALE/UNKNOWN verdicts with NIST AI RMF mapping. CLI + MCP server + HTTP API with Prometheus metrics and YAML policy engine.
- [shibley/apistatuscheck-mcp-server](https://github.com/shibley/apistatuscheck-mcp-server) [![apistatuscheck-mcp-server MCP server](https://glama.ai/mcp/servers/shibley/apistatuscheck-mcp-server/badges/score.svg)](https://glama.ai/mcp/servers/shibley/apistatuscheck-mcp-server) 📇 ☁️ - Check real-time operational status of 114+ cloud services and APIs (AWS, GitHub, Stripe, OpenAI, Vercel, etc.) directly from AI assistants. Published on npm.
- [speedofme-dev/speedofme-mcp](https://www.npmjs.com/package/@speedofme/mcp) 📇 ☁️ 🍎 🪟 🐧 - Official SpeedOf.Me server for accurate internet speed tests via 129 global Fastly edge servers with analytics dashboard and local history
- [TANTIOPE/datadog-mcp-server](https://github.com/TANTIOPE/datadog-mcp-server) 📇 ☁️ 🍎 🪟 🐧 - MCP server providing comprehensive Datadog observability access for AI assistants. Features grep-like log search, APM trace filtering with duration/status/error queries, smart sampling modes for token efficiency, and cross-correlation between logs, traces, and metrics.