Official MCP server for Arize Phoenix: read traces and spans, manage prompt versions, and run and inspect datasets and experiments from an AI assistant.
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Tools for versioning, storing and iterating on prompts as first-class artifacts, so a change to a prompt is tracked and reviewable rather than buried in application code.
2 MCP servers tagged Prompt Management.
Official MCP server for Arize Phoenix: read traces and spans, manage prompt versions, and run and inspect datasets and experiments from an AI assistant.
by Langfuse
Langfuse's own MCP server for LLM observability — read traces and observations, manage prompt versions, run datasets and evaluators, and query cost and latency metrics from inside your agent.
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