Independent review. IonBin has no partnership with Langfuse and was not paid for this page. Our evaluation is our own, based on public documentation and our research. Product names are trademarks of their owners and are used for identification only. How disclosure works.
A tracing and evaluation platform for inspecting AI application behavior and testing changes on datasets. Useful when production failures should become reviewable test cases. Documentation checked; not hands-on tested.
Best for
Tracing an instrumented AI application
Comparing experiments and collecting human review scores
Not for
Automatic proof that a source or answer is true
Top use cases
Inspect application traces and observations source ↗
Import input and expected-output pairs from CSV source ↗
In depth
Evaluation loop
Add reviewed production examples to a dataset, compare changes and use human scores to calibrate automated grading. Instrumentation and dataset quality determine what you can evaluate. source ↗
MCP access
The project-scoped MCP server exposes read and write operations. Its documentation gives Claude Code, Codex and Cursor configurations. Limit write tools in the client when the task only needs inspection. source ↗
Plan choice
The cloud pricing page offers a free Hobby plan with usage and history limits, alongside paid plans. Check retention, hosting and evaluator API costs for the intended workload; this record does not promise unlimited free production use. source ↗
How to use it with AI
How Langfuse connects to each AI platform: native connector or MCP, API through code the agent writes, browser control, or file upload.
Not documentedClaude (incl. Claude Code): Claude Code edits files and runs commands Langfuse publishes an API, but this pairing still needs network, authentication and execution-scope checks.Langfuse API ↗Claude (incl. Claude Code) docs ↗
InferredClaude Code with the Claude in Chrome extension (Chrome, Edge and other Chromium browsers). Langfuse is a web app; the pairing itself is not documented.Claude (incl. Claude Code) browser docs ↗
Not documentedVerify which side exports and which imports, supported formats and permissions. Langfuse's recorded upload/import status is yes; Claude (incl. Claude Code)'s file status is yes. These flags do not establish a file-transfer route.Langfuse file docs ↗Claude (incl. Claude Code) file docs ↗
Not documentedOpenAI Codex: Edits files and runs commands locally; cloud tasks run in isolated workspaces Langfuse publishes an API, but this pairing still needs network, authentication and execution-scope checks.Langfuse API ↗OpenAI Codex docs ↗
InferredOnly in the ChatGPT desktop app; not in the Codex CLI or IDE extension. Langfuse is a web app; the pairing itself is not documented.OpenAI Codex browser docs ↗
Not documentedVerify which side exports and which imports, supported formats and permissions. Langfuse's recorded upload/import status is yes; OpenAI Codex's file status is yes. These flags do not establish a file-transfer route.Langfuse file docs ↗OpenAI Codex file docs ↗
Not documentedLangfuse has an official MCP server and Google Antigravity supports MCP, but Langfuse's docs don't name this pairing. Auth setup may differ.Langfuse MCP docs ↗Google Antigravity MCP docs ↗
Not documentedGoogle Antigravity: Agents edit code and run tasks Langfuse publishes an API, but this pairing still needs network, authentication and execution-scope checks.Langfuse API ↗Google Antigravity docs ↗
InferredThe /browser guide documents App and CLI support through Chrome DevTools MCP; the overview comparison conflicts on CLI availability. IDE browser features are separate. Langfuse is a web app; the pairing itself is not documented.Google Antigravity browser docs ↗
Not documentedVerify which side exports and which imports, supported formats and permissions. Langfuse's recorded upload/import status is yes; Google Antigravity's file status is yes. These flags do not establish a file-transfer route.Langfuse file docs ↗Google Antigravity file docs ↗
Confirmed is reserved for evidence of the specific connection route. The current named integrations include plugins, skills and CLIs, so a named platform alone does not confirm MCP or a native connector. Inferred means each side documents a relevant capability, but no document describes the pairing. Code execution still needs network and credential access; file handling still needs a compatible format and transfer direction. Not documented means the records do not establish the route. IonBin has not tested these pairings. Recorded Oct 18, 2026.
Automation hubs to assess for a custom API connection: Gumloop, Make, n8n, Zapier. Verify credentials, supported requests, limits and error handling; no configured integration is implied.
A CLI and library for comparing prompts and models against your own cases. Useful for repeatable regression checks in CI; the rubric and test coverage still need human review. Documentation checked; not hands-on tested.
MCPAPI/CLIFile import
Evals
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