The Scorecard MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Scorecard account. It provides structured and secure access to your evaluation projects and documentation, so your agent can manage testsets, organize testcases, configure metrics, track evaluation runs, and search documentation on your behalf.
- Evaluation project management: Have your agent create and maintain evaluation projects for testing your AI systems.
- Testset and testcase organization: Let the agent manage testsets and testcases that cover the scenarios you want to evaluate.
- Systems and metrics setup: Direct your agent to manage evaluated systems and define the metrics used to measure their performance.
- Run and result tracking: Instruct your agent to manage evaluation runs, records, scores, and annotations as results are collected.
- Documentation search: Have your agent search Scorecard SDK documentation for relevant methods, parameters, and usage examples.