Learn how to evaluate MCP-powered LLM applications using DeepEval's open-source evaluation framework. The guide covers setting up MCP servers, tracking tool interactions, creating test cases, and measuring how well LLMs select and use tools. Includes step-by-step code examples showing how to identify issues with tool selection and argument correctness, ultimately improving app performance from 8% to 100% success rate.

3m read timeFrom blog.dailydoseofds.com
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Scrape the web based on search categoriesEvaluating MCP-powered LLM Apps

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