UiPath Coder Eval: Test your AI agents and MCPs in production

YAML test suite to validate Claude skills, MCP servers, and agent CLIs in a sandboxed environment.

UiPath Coder Eval: Test Your AI Agents and MCPs in Production

UiPath Coder Eval is a critical tool for developers building with AI agents and MCP servers. It provides a robust YAML-based testing framework designed to validate your AI skills, MCP server deployments, and agent command-line interfaces (CLIs) within a controlled, sandboxed environment. This ensures your AI components function as expected before deployment to live production systems, minimizing risks and accelerating your development lifecycle.

What It Does

This tool automates the testing of your AI agents and their associated infrastructure. By leveraging YAML configurations, you can define comprehensive test cases that simulate real-world interactions with your AI models and services. UiPath Coder Eval executes these tests in an isolated environment, allowing you to identify and rectify issues related to skill logic, server responsiveness, and agent CLI behavior without impacting your production environment. It's built to integrate seamlessly into your CI/CD pipelines.

Key Features

YAML-based Test Suite: Define tests using a clear and structured YAML format, making it easy to write, read, and maintain your test cases.
Sandboxed Environment: Execute tests in an isolated environment to prevent unintended side effects on your production systems.
Validation of Claude Skills: Specifically designed to test the functionality and output of Claude-based AI skills.
MCP Server Testing: Verify the performance and reliability of your MCP server deployments.
Agent CLI Verification: Ensure your agent CLIs are functioning correctly and interacting as expected.
Production-Ready Testing: Facilitates testing that closely mirrors production conditions, leading to more reliable deployments.

Who It's For

UiPath Coder Eval is an essential tool for AI developers , ML engineers , and DevOps professionals working on AI-powered applications. If you are developing or deploying AI agents, custom skills, or managing MCP server infrastructure, this tool will significantly enhance your testing capabilities. It's particularly beneficial for teams aiming to achieve robust, reliable, and production-ready AI solutions.