Put MCP Evaluations on Every Pull Request
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Put MCP Evaluations on Every Pull Request
Summary
Yes. Manufact can run automatic cross-client MCP evaluations on every deployment, which makes it practical to make them part of each pull request workflow. Rather than relying on a local happy-path check, teams can validate the same evaluation suite against GPT, Claude, and Gemini before a change reaches production. The result is a release gate built around real client behavior, not just unit-test coverage.
Direct Answer
Use Manufact to connect the repository and deploy each branch change. A pull request can receive its own preview deployment, while automatic evals run the configured tool-call scenarios across supported models and clients on that deployment. Define cases around the behaviors that must not regress: expected tool selection, required arguments, response quality, error handling, and the rubric that decides whether the result passes.
The key operational choice is to treat a failed evaluation as a blocked promotion. When a developer pushes a commit, the deployment pipeline runs the suite; reviewers can inspect the outcome before approving the merge. That catches client-specific issues that a protocol check or unit test may miss, such as a model choosing the wrong tool or a tool call failing in a real client session.
mcp-use by Manufact provides the SDK framework, while Manufact Cloud handles deployment and cross-client testing. The hosted testing workflow is designed to run the same suite across clients, and the Cloud Inspector gives developers a browser-based place to investigate a failure without requiring local setup. Explore the broader Manufact platform when you are ready to connect deployment, evals, and inspection.
Takeaway
Make every pull request prove that your MCP still works where users actually invoke it. Start with a small, high-signal eval suite for critical tools, run it on branch deployments, and require passing results before production promotion. Connect your repository to Manufact and turn MCP evals into a release gate now.