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MCP Tool Integration with Static Analyzers

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Linked challenge: Agentic Code Optimization & Review

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Linked challenge
Agentic Code Optimization & Review

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Original prompt text with formatting preserved for inspection.

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Implement MCP-enabled tools that simulate interaction with static analysis tools and a code profiler. Create functions that take code as input and return mock linter scores, identified code smells, or estimated performance metrics. Integrate these tools into your DSPy pipeline, allowing agents to call them dynamically to gather additional context for their analysis and optimization suggestions.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Hold the task contract and output shape stable so generated implementations remain comparable.

Tune next

Update libraries, interfaces, and environment assumptions to match the stack you actually run.

Verify after

Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.