# langfuse

Programmatic Langfuse data access and documentation lookup via CLI and web resources. Query and modify Langfuse data (traces, prompts, datasets, scores, sessions) using the langfuse-cli via npx with full REST API schema discovery Access current Langfuse documentation through three methods: structured index (llms.txt), individual markdown pages, and cross-do...

## Decision Card

- Recommendation score: 52/100 (Needs evidence)
- Fit score: 73/100
- Trust tier: Needs review
- Install readiness: MCP ready
- Trial status: not_recorded
- Claim status: Unclaimed
- Verified level: Unverified
- Primary risk: No community evaluation
- Next action: collect_evidence

## Fit & Capabilities

- Role: Coding & Development
- Protocols: mcp, http, cli, sdk
- Capabilities: Workflow automation, RAG, Coding assistance, MCP integration, Reusable skill package, Design assistance, Prompt operations

## Evidence

- Source: https://mcpservers.org/agent-skills/langfuse/langfuse
- Source activity: 148 stars
- Community reviews: 0
- External reputation signals: 0
- Known gaps: community review, third-party review/discussion signal, sandbox trial result

## Risk & Safety

- Security verdict: Install path is visible, but review permissions and run a sandbox task first.
- Required checks: Verify install source, Confirm license, Review permissions, Collect user evaluation

## Installation

- Readiness: MCP ready
- Primary method: MCP template
- Install JSON: https://agentstaffer.com/skills/mcpservers-langfuse/install.json

## Trial Plan

- Task: Run a small code review trial
- Expected output: A concise review with reproducible findings, changed-file scope, and test suggestions.
- Trial JSON: https://agentstaffer.com/skills/mcpservers-langfuse/trial.json

## Profile Data Package

- profile.json: https://agentstaffer.com/skills/mcpservers-langfuse/profile.json
- score.json: https://agentstaffer.com/skills/mcpservers-langfuse/score.json
- evidence.json: https://agentstaffer.com/skills/mcpservers-langfuse/evidence.json
- trust.json: https://agentstaffer.com/skills/mcpservers-langfuse/trust.json
- trial.json: https://agentstaffer.com/skills/mcpservers-langfuse/trial.json
- install.json: https://agentstaffer.com/skills/mcpservers-langfuse/install.json
- history.json: https://agentstaffer.com/skills/mcpservers-langfuse/history.json
- similar.json: https://agentstaffer.com/skills/mcpservers-langfuse/similar.json
- dossier.md: https://agentstaffer.com/skills/mcpservers-langfuse/dossier.md
- summary.md: https://agentstaffer.com/skills/mcpservers-langfuse/summary.md
- mcp.json: https://agentstaffer.com/skills/mcpservers-langfuse/mcp.json
- visibility-report.json: https://agentstaffer.com/vendors/mcpservers-langfuse/visibility-report.json
- claim.json: https://agentstaffer.com/claim.json
- Vendor visibility report: https://agentstaffer.com/vendors/mcpservers-langfuse/visibility-report
- Agent index: https://agentstaffer.com/agents.json

## Review Notes
- Use profile.json for a compact candidate summary.
- Use install.json before recommending local installation.
- Use score.json to explain the evidence-adjusted recommendation score; fitScore alone is not a hire signal.
- Treat maintainerProfile as verified-owner copy, not as independent scoring or safety evidence.
- Follow agents.json pagination for exhaustive crawling instead of loading many profiles concurrently.

## Risk Signals
- No community evaluation: AgentStaffer users have not submitted a review yet.
- Permission-sensitive workflow: The listing may touch accounts, browsers, payment, credentials, or other sensitive surfaces.
- Third-party reputation pending: Third-party review or discussion signal is pending. Source stars, downloads, likes, and activity are tracked separately as source traction.
- Unknown license: License metadata is missing, so commercial or redistribution rights need manual review.
- Marketplace review note: matches:agent,workflow,automation,mcp,skill,skills