A
licenseA
qualityC
maintenanceComprehensive MCP server for Langfuse, enabling AI assistants to access and manage traces, observations, scores, datasets, and sessions for observability.
24
10 npm
1
MIT
langfuse-mcp
by avivsinai
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TDQS
C2.9/5.0
Scored across 48 tools
Disambiguation3/5
Most tools map to a distinct resource+action, but the error/exception cluster (get_error_count, find_exceptions, find_exceptions_in_file, get_exception_details) and route-decision tools have overlapping analytical purposes. An agent can distinguish them only by carefully reading descriptions, and with 48 tools the misselection risk is elevated.
Naming Consistency3/5
All tools use snake_case, but verb conventions are mixed across list/get/fetch/query/find/summarize/create/update/delete, and _v2 suffixes appear in list_scores_v2 and get_score_v2. The pattern is readable but not consistently predictable.
Tool Count2/5
48 tools is well above the typical 3–15 range. Although Langfuse is a broad platform, the inclusion of many niche CRUD and route-decision tools makes the surface heavy and increases selection burden.
Completeness3/5
Core read/query workflows for traces, observations, sessions, metrics, prompts, and datasets are covered. However, management coverage has notable gaps: datasets lack update/delete, annotation queues lack update/delete, and scores have no create/delete surface.
Maintenance
ActivityActive
ResponsivenessUsually handled