Deterministic correctness testing for MCP servers

A CLI and CI tool for deterministic correctness testing of MCP servers, requiring no AI.

Deterministic Correctness Testing for MCP Servers

This tool provides a robust solution for ensuring the deterministic correctness of your MCP servers. Designed for developers, it integrates seamlessly into your workflow, offering a command-line interface (CLI) and Continuous Integration (CI) capabilities. The primary objective is to verify that your MCP server behaves predictably and consistently, without relying on any AI components for its core functionality. This ensures that your server's logic is sound and repeatable, a critical aspect for reliable software development.

What it Does

The mcp-assert tool automates the process of testing your MCP server's responses to specific inputs. It allows you to define a set of expected outcomes for given server states and inputs. By running these tests, you can identify any deviations from the expected behavior, indicating potential bugs or logic errors. This deterministic approach means tests will produce the same results every time they are run, provided the server code remains unchanged.

Key Features

CLI Tool: Execute tests directly from your terminal for quick verification.
CI Integration: Easily incorporate tests into your CI/CD pipeline to catch regressions early.
Deterministic Testing: Guarantees repeatable test results, essential for reliable debugging.
No AI Dependency: Focuses solely on the logical correctness of your MCP server implementation.
Source Available: Full transparency and flexibility with its open-source nature on GitHub.

Who it's For

This tool is specifically built for AI builders and developers working with MCP servers. If you are responsible for the development, maintenance, or deployment of MCP server infrastructure, and require a high degree of confidence in its predictable behavior, mcp-assert is an invaluable asset. It is particularly useful for projects where consistency and reliability are paramount, and where manual testing is insufficient or prone to human error. Developers seeking to establish a solid foundation of correctness for their server logic will find this tool highly beneficial.