Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
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
Search dashboards, investigate incidents and query datasources in your Grafana instance
Quality signal
45/100 (Fair)
40/100 (Fair)
Install path
npx · high
uvx · high
Engagement
0 0 0 11
3 0 0 3,323
Tools
Request logging with full prompt, response, cost, and latency dataAgent tracing for multi-step and tool-based LLM callsCost tracking and model usage analytics across providersAnomaly detection and PII scanningPrompt versioning and A/B experiment supportSelf-hostable with a single Docker command and open source MIT license
Dashboard search, summary, property extraction, patching, and full updateExecute Prometheus, Loki, InfluxDB, ClickHouse, and CloudWatch queriesRetrieve datasource lists and detailed metadataRun panel queries with time range and variable overridesManage context window usage with JSONPath and summariesSupport for multiple datasource query languages and macros
