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Merge pull request #9892 from maestro24/add-spanlens

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Add Spanlens to Monitoring 🤖🤖🤖
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Frank Fiegel
2026-07-22 16:33:37 +02:00
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@@ -2520,6 +2520,7 @@ Access and analyze application monitoring data. Enables AI models to review erro
- [incu6us/loki-mcp-server](https://github.com/incu6us/loki-mcp-server) [![incu6us/loki-mcp-server MCP server](https://glama.ai/mcp/servers/incu6us/loki-mcp-server/badges/score.svg)](https://glama.ai/mcp/servers/incu6us/loki-mcp-server) 🏎️ 🏠 🍎 🪟 🐧 - An MCP server for querying Grafana Loki directly with a discovery-first workflow — labels, values, series, and LogQL queries without requiring Grafana.
- [rbmuller/scherlok](https://github.com/rbmuller/scherlok) [![rbmuller/scherlok MCP server](https://glama.ai/mcp/servers/rbmuller/scherlok/badges/score.svg)](https://glama.ai/mcp/servers/rbmuller/scherlok) 🐍 🏠 🍎 🪟 🐧 - Zero-config data quality monitoring across Postgres, BigQuery, Snowflake, MySQL, and DuckDB. Profile a warehouse, detect anomalies (volume, schema drift, freshness, NULLs, distribution, cardinality), with optional dbt manifest lineage. Read-only — connection resolved server-side, never passed via the model.
- [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）
- [spanlens/Spanlens](https://github.com/spanlens/Spanlens/tree/main/packages/mcp-server) [![spanlens/Spanlens MCP server](https://glama.ai/mcp/servers/spanlens/Spanlens/badges/score.svg)](https://glama.ai/mcp/servers/spanlens/Spanlens) 🎖️ 📇 ☁️ - Query Spanlens LLM observability from Claude Desktop, Cursor, or Continue: request logs, costs, agent traces, anomalies, and user analytics with a read-only API key.
- [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.
- [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`