feat: Add data extraction method to clean JSON responses from MCP, improving response handling #44
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This pull request enhances the way responses from the MCP provider are processed and returned, focusing on extracting and presenting cleaner, more usable data from complex response structures. The changes introduce a helper method for extracting JSON or text content, and improve the metadata attached to tool results for easier debugging and traceability.
Key improvements to response handling and metadata:
Response extraction and formatting:
_extract_clean_datamethod tojaf/providers/mcp.pyfor extracting and cleaning JSON or text data from complex, nested MCP responses, handling cases withTextContentwrappers and multiple encoding layers.executemethod to use the new extraction helper, ensuring that the returneddatafield contains clean, user-friendly content instead of raw or doubly-encoded data.Metadata and diagnostics:
ToolMetadataobject in theexecutemethod to include a concise summary of the MCP response (meta info, content length, presence of structured content, and error status), improving the ability to trace and debug tool executions.