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.
MCP-native agent evaluation and observability server with trace logging, output quality evaluation, cost tracking, 12 built-in eval rules, real-time dashboard, and PII detection.
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.
Quality signal
48/100 (Fair)
49/100 (Fair)
Install path
npx · high
npx · high
Engagement
0 0 0 7
2 0 0 1
Tools
Hierarchical span trace logging with latency, token usage, and cost13 built-in evaluation rules including PII and prompt injection detectionCost aggregation and budget threshold alertsReal-time dark-mode web dashboard for trace and evaluation visualizationSQLite storage for instant querying of trace dataCustom evaluation rules via Zod schemas
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