The Airparser MCP Node integrates securely with Airparser using a Scalekit MCP connection. It enables your AI agent to parse documents, manage inboxes, define extraction schemas, and configure post-processing rules.
Parameters
Required Parameters
- action (string): The target Airparser MCP action to run. Must be one of the enabled actions:
airparsermcp_create_inbox: Create a new document inbox.airparsermcp_generate_schema_from_document: Generate an extraction schema from a sample document.airparsermcp_get_document: Retrieve a parsed document.airparsermcp_get_extraction_schema: Retrieve an extraction schema.airparsermcp_get_extraction_schema_format_guide: Get the format guide for an extraction schema.airparsermcp_get_inbox: Retrieve inbox details.airparsermcp_get_postprocessing: Retrieve post-processing configuration.airparsermcp_get_postprocessing_runtime_rules: Get runtime rules for post-processing.airparsermcp_list_documents: List parsed documents.airparsermcp_list_inboxes: List available inboxes.airparsermcp_save_postprocessing_code: Save custom post-processing code.airparsermcp_set_postprocessing_enabled: Enable or disable post-processing.airparsermcp_test_postprocessing_code: Test custom post-processing code.airparsermcp_update_extraction_schema: Update an extraction schema.airparsermcp_update_extraction_schema_from_json_schema: Update an extraction schema from a JSON schema.airparsermcp_update_fields_meta: Update field metadata.airparsermcp_upload_document_sync: Upload a document for synchronous parsing.
Optional Parameters
- params (object): A key-value dictionary containing action-specific inputs (e.g.,
{'inboxId': 'inb_XXXXXX', 'documentUrl': 'https://example.com/document.pdf'}).
Practical Use Cases
- Document Parsing Automation: Extract structured data from invoices, forms, and other documents uploaded to an Airparser inbox.
- Schema Management: Build and refine extraction schemas programmatically from sample documents or JSON schema definitions.