Which is more popular, MCP Inspector or Langfuse?

Langfuse has more GitHub stars (35,301 vs 11,007).

Which is more actively developed, MCP Inspector or Langfuse?

Langfuse had more commits in the last 90 days (2,007 vs 1,750).

Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.

Side-by-side comparison of two AI agent tools

Langfuse is growing faster: +1,812 GitHub stars in the last 30 days vs +282 for MCP Inspector.
Pick MCP Inspector for: visual testing tool for MCP servers. Pick Langfuse for: open-source LLM engineering platform for observability, evaluation, prompt and dataset management.

From GitHub data refreshed daily.

Visual testing tool for MCP servers

Langfuseopen-source

Open-source LLM engineering platform for observability, evaluation, prompt and dataset management

+Open source with MIT license allowing full customization and transparency, plus active community support
+Comprehensive feature set combining observability, prompt management, evaluations, and datasets in one platform
+Extensive integrations with major LLM frameworks and tools including OpenTelemetry, LangChain, and OpenAI SDK

•Production LLM application monitoring to track performance, costs, and identify issues in real-time
•Prompt engineering and management for teams collaborating on optimizing model prompts and tracking versions
•LLM evaluation and testing to measure model performance across different datasets and use cases

Which is more popular, MCP Inspector or Langfuse?: Langfuse has more GitHub stars (35,301 vs 11,007).
Which is more actively developed, MCP Inspector or Langfuse?: Langfuse had more commits in the last 90 days (2,007 vs 1,750).
Should I use MCP Inspector or Langfuse?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.