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Implement MCP Processing and Gemini Call

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Linked challenge: Enterprise Gemini Integration with MCP for Secure AI Services

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Linked challenge
Enterprise Gemini Integration with MCP for Secure AI Services

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Original prompt text with formatting preserved for inspection.

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Develop a service that receives the MCP payload, extracts the relevant context, and uses it to construct a call to the Gemini 2.5 Pro API. Ensure that tool calls specified in the MCP context can be simulated or conceptually handled by Gemini (e.g., if 'calendar_api' is in context, Gemini can suggest a calendar summary). Demonstrate this with the 'MCPContextPropagation' task.

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.