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.
TypeScript MCP server for the Langfuse Public API. 27 read tools covering traces, observations, sessions, scores, score-configs, prompts (with version/label), datasets, dataset items, dataset runs, metrics, models, projects, comments, media, and health. Distributed as npx -y langfuse-mcp with provenance-signed releases.
Discovery, exploration, reporting and root cause analysis using all observability data, including metrics, logs, systems, containers, processes, and network connections
Quality signal
49/100 (Fair)
51/100 (Fair)
Install path
npx · high
Remote · high
Engagement
2 0 0 1
2 0 0 80,050
Tools
27 read-only tools covering telemetry and monitoring dataSupports filtering and fetching by IDs for traces, sessions, scores, prompts, datasetsAccess to models, projects, comments, media metadataCustom metrics query execution with JSON inputHealth check endpoint for credential validation
Per-second metric collection and visualizationAnomaly detection powered by machine learningSupports metrics, logs, processes, and network connectionsZero-configuration deploymentEfficient resource usage and scalable architectureDistributed monitoring without central data collection