Merge pull request #10059 from sunes26/add-spanlens

Add Spanlens to Monitoring
This commit is contained in:
Frank Fiegel
2026-07-22 11:02:27 +02:00
committed by GitHub
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@@ -2464,6 +2464,7 @@ Access and analyze application monitoring data. Enables AI models to review erro
- [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 - [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) [![Sudhan30/freshprobe MCP server](https://glama.ai/mcp/servers/Sudhan30/freshprobe/badges/score.svg)](https://glama.ai/mcp/servers/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. - [Sudhan30/freshprobe](https://github.com/Sudhan30/freshprobe) [![Sudhan30/freshprobe MCP server](https://glama.ai/mcp/servers/Sudhan30/freshprobe/badges/score.svg)](https://glama.ai/mcp/servers/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. - [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.
- [spanlens/Spanlens](https://github.com/spanlens/Spanlens) [![spanlens/Spanlens MCP server](https://glama.ai/mcp/servers/spanlens/Spanlens/badges/score.svg)](https://glama.ai/mcp/servers/spanlens/Spanlens) 📇 ☁️ 🏠 - Query your Spanlens LLM observability from any MCP client. 7 read tools for request logs, agent traces, cost stats, anomalies, model-savings, and per-user analytics across OpenAI, Anthropic, and Gemini. Open source, self-hostable. `npx -y @spanlens/mcp-server`
- [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 - [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
- [sudomichael/gizmoanalytics-mcp](https://github.com/sudomichael/gizmoanalytics-mcp) [![sudomichael/gizmoanalytics-mcp MCP server](https://glama.ai/mcp/servers/sudomichael/gizmoanalytics-mcp/badges/score.svg)](https://glama.ai/mcp/servers/sudomichael/gizmoanalytics-mcp) 📇 ☁️ - Gizmo Analytics — cookieless web analytics for AI coding agents. Framework-aware install (Next/Remix/SvelteKit/Nuxt/Astro/Vite/React/HTML), OAuth onboarding, 28 tools for setup + query + workflow operations (summarize_all_sites, explain_traffic_change, detect_anomalies). Hosted MCP at gizmoanalytics.io/mcp. - [sudomichael/gizmoanalytics-mcp](https://github.com/sudomichael/gizmoanalytics-mcp) [![sudomichael/gizmoanalytics-mcp MCP server](https://glama.ai/mcp/servers/sudomichael/gizmoanalytics-mcp/badges/score.svg)](https://glama.ai/mcp/servers/sudomichael/gizmoanalytics-mcp) 📇 ☁️ - Gizmo Analytics — cookieless web analytics for AI coding agents. Framework-aware install (Next/Remix/SvelteKit/Nuxt/Astro/Vite/React/HTML), OAuth onboarding, 28 tools for setup + query + workflow operations (summarize_all_sites, explain_traffic_change, detect_anomalies). Hosted MCP at gizmoanalytics.io/mcp.
- [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. - [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.