Observability · 8 alternatives ranked of 36 in the category
Looking for alternatives to mcpsnoop? These are the observability tools that score highest on adoption, reviews, benchmarks, and public code, with what separates each one from mcpsnoop.
Ranked by adoption, review, benchmark, and repository signals. Each note below is drawn from the two products’ own catalog records, so a product with nothing to separate it from mcpsnoop carries no note.
Langfuse is freemium against mcpsnoop's open source model, exposes a public API you can build against, and carries 35k GitHub stars to mcpsnoop's 355.
Helicone is freemium against mcpsnoop's open source model, exposes a public API you can build against, and carries 6.2k GitHub stars to mcpsnoop's 355.
DeepEval carries 19k GitHub stars to mcpsnoop's 355.
MLflow exposes a public API you can build against and carries 28k GitHub stars to mcpsnoop's 355.
OpenPipe ART exposes a public API you can build against and carries 11k GitHub stars to mcpsnoop's 355.
Langfuse ranks highest among the alternatives to mcpsnoop we track. Langfuse is freemium against mcpsnoop's open source model, exposes a public API you can build against, and carries 35k GitHub stars to mcpsnoop's 355. Open-source LLM engineering platform for tracing, evals, prompt management, and metrics so teams can debug and improve production AI applications.
Langfuse, Helicone, MLflow, OpenPipe ART, Opik, Phoenix, and Portkey expose a public API. mcpsnoop does not publish one in our catalog, so these are the options if you need to build against the product programmatically.
Opik exposes a public API you can build against and carries 22k GitHub stars to mcpsnoop's 355.
Phoenix exposes a public API you can build against and carries 12k GitHub stars to mcpsnoop's 355.
Portkey is freemium against mcpsnoop's open source model, exposes a public API you can build against, and carries 13k GitHub stars to mcpsnoop's 355.