Langfuse
Open Source LLM Engineering Platform
mcp-use
Open source SDK and infra for MCP servers & agents
Updated February 2026
| Langfuse | mcp-use | |
|---|---|---|
| Rating | 5.0★ | 4.5★ |
| Reviews | 41 | 2 |
| Pros | 18 | 0 |
| FactScore™ | 81.2 | 21.5 |
FactScore™ Comparison
FactScore™ weighs both quality (rating) and popularity (reviews) for a fairer ranking than stars alone.
Pros & Cons
Only in Langfuse — Pros
LLM observability Open source Detailed tracing Monitoring capabilities Cost-effective Easy to integrate Free tier SDK availability Seamless integration Debugging tools Fast iterations Insightful analytics Community engagement Detailed analytics Excellent UI Flexible architecture Open API Robust telemetryBoth tools — Pros
—Only in mcp-use — Pros
No unique pros listedOnly in Langfuse — Cons
—Both tools — Cons
—Only in mcp-use — Cons
—Details
| Langfuse | mcp-use | |
|---|---|---|
| Categories | AI Infrastructure Tools, AI Metrics and Evaluation | AI Infrastructure Tools |
| Platforms | Web | Web |
| Became Popular | August 20, 2023 | August 13, 2025 |
| Website | langfuse.com | mcp-use.com |
Who Should Pick Which?
Choose Langfuse if...
- LLM observability
- Open source
- Detailed tracing
Choose mcp-use if...
- No unique pros listed
With a FactScore™ of 81.2 vs 21.5, Langfuse leads in community reception. Langfuse uniquely offers LLM observability and Open source, while mcp-use stands out for No unique pros listed.
What Users Say
Langfuse
Without Langfuse, we would have been flying blind with our drafting agent. This platform is critical not just for measuring performance, but for understanding exactly what context gets pulled into ...
So excited to see Langfuse go live — we've been a happy user for 4 weeks now. Most detailed latency and analytics in the market. Highly recommend for anyone using complex chains or with user-f...
We’ve been unsung Langfuse for 2 months now. It’s easy to integrate and makes it simpler for us to monitor & debug LLM requests during development and beyond.
mcp-use
Awesome product! Very quick and easy deployment.
I’ve been using MCP-Use for a few weeks, and it’s a total game-changer for AI development. The SDK makes it super easy to spin up custom AI agents, and the integration with MCP servers means deploy...
Related Comparisons
Frequently Asked Questions
Which is better, Langfuse or mcp-use?
Based on FactScore™, Langfuse leads with a score of 81.2 vs 21.5. Langfuse has a higher rating of 5.0★ compared to 4.5★.
What are the pros of Langfuse compared to mcp-use?
Langfuse uniquely offers: LLM observability, Open source, Detailed tracing, Monitoring capabilities, Cost-effective.
What are the pros of mcp-use compared to Langfuse?
mcp-use uniquely offers: No unique pros listed.
Is Langfuse better rated than mcp-use?
Langfuse is rated 5.0★ from 41 reviews. mcp-use is rated 4.5★ from 2 reviews.
What is the FactScore™ of Langfuse and mcp-use?
FactScore™ weighs rating and review volume together. Langfuse scores 81.2 and mcp-use scores 21.5.
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