@arizeai/phoenix-mcp

--- description: >- Anthropic is an AI research company that develops LLMs, including Claude, with a focus on alignment and reliable behavior. --- # Anthropic <figure><picture><source srcset="../../.gitbook/assets/anthropic_white_logo.png" media="(prefers-color-scheme: dark)"><img src="../../.gitbook/assets/anthropic_logo.png" alt="" width="375"></picture><figcaption></figcaption></figure> **Website**: [https://www.anthropic.com/](https://www.anthropic.com/) <table data-card-size="large" data-view="cards"><thead><tr><th></th><th data-hidden data-card-cover data-type="files"></th></tr></thead><tbody><tr><td><a href="anthropic-tracing.md"><strong>Anthropic Tracing</strong></a></td><td><a href="../../.gitbook/assets/anthropic.avif">anthropic.avif</a></td></tr><tr><td><a href="anthropic-evals.md"><strong>Anthropic Evals</strong></a></td><td><a href="../../.gitbook/assets/anthropic.avif">anthropic.avif</a></td></tr></tbody></table> ### Featured Tutorials&#x20; <table data-view="cards"><thead><tr><th></th><th data-hidden data-card-cover data-type="files"></th></tr></thead><tbody><tr><td><a href="https://colab.research.google.com/github/Arize-ai/phoenix/blob/3c0ab8b33fdb3d97639fb5863643c3c32fe2d3af/tutorials/tracing/anthropic_tracing_tutorial.ipynb#L22">Tracing and Evaluating a Structured Data Extraction Service</a></td><td><a href="../../.gitbook/assets/Tutorials.jpg">Tutorials.jpg</a></td></tr></tbody></table>