@arizeai/phoenix-mcp

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<loc>https://arize.com/docs/phoenix/cookbook/datasets-and-experiments/analyzing-customer-review-evals-with-repetition-experiments</loc> </url> <url> <loc>https://arize.com/docs/phoenix/cookbook/datasets-and-experiments/comparing-llamaindex-query-engines-with-a-pairwise-evaluator</loc> </url> <url> <loc>https://arize.com/docs/phoenix/cookbook/datasets-and-experiments/cookbooks</loc> </url> <url> <loc>https://arize.com/docs/phoenix/cookbook/datasets-and-experiments/experiment-with-a-customer-support-agent</loc> <lastmod>2025-12-12T01:23:01.811Z</lastmod> </url> <url> <loc>https://arize.com/docs/phoenix/cookbook/datasets-and-experiments/model-comparison-for-an-email-text-extraction-service</loc> </url> <url> <loc>https://arize.com/docs/phoenix/cookbook/datasets-and-experiments/summarization</loc> </url> <url> <loc>https://arize.com/docs/phoenix/cookbook/datasets-and-experiments/text2sql</loc> <lastmod>2025-12-04T18:28:02.482Z</lastmod> </url> <url> 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<loc>https://arize.com/docs/phoenix/cookbook/human-in-the-loop-workflows-annotations/aligning-llm-evals-with-human-annotations-typescript</loc> <lastmod>2025-12-04T18:28:02.529Z</lastmod> </url> <url> <loc>https://arize.com/docs/phoenix/cookbook/human-in-the-loop-workflows-annotations/creating-a-custom-llm-evaluator-with-a-benchmark-dataset</loc> </url> <url> <loc>https://arize.com/docs/phoenix/cookbook/human-in-the-loop-workflows-annotations/using-human-annotations-for-eval-driven-development</loc> <lastmod>2025-12-04T18:28:02.530Z</lastmod> </url> <url> <loc>https://arize.com/docs/phoenix/cookbook/prompt-engineering/chain-of-thought-prompting</loc> <lastmod>2025-12-04T18:28:05.925Z</lastmod> </url> <url> <loc>https://arize.com/docs/phoenix/cookbook/prompt-engineering/few-shot-prompting</loc> <lastmod>2025-12-04T18:28:05.920Z</lastmod> </url> <url> <loc>https://arize.com/docs/phoenix/cookbook/prompt-engineering/llm-as-a-judge-prompt-optimization</loc> 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