MCP-Upstage-Server

Parse a document using Upstage AI's document digitization API.

This tool extracts the structure and content from various document types, including PDFs, images, and Office files. It preserves the original formatting and layout while converting the document into a structured format.

Supported file formats include: PDF, JPEG, PNG, TIFF, and other common document formats.

Extract structured information from documents using Upstage Universal Information Extraction.

This tool can extract key information from any document type without pre-training. You can either provide a schema defining what information to extract, or let the system automatically generate an appropriate schema based on the document content.

Supported file formats: JPEG, PNG, BMP, PDF, TIFF, HEIC, DOCX, PPTX, XLSX Max file size: 50MB Max pages: 100

SCHEMA FORMAT: When auto_generate_schema is false, provide schema in this exact format: { "type": "json_schema", "json_schema": { "name": "document_schema", "schema": { "type": "object", "properties": { "field_name": { "type": "string|number|array|object", "description": "What to extract" } } } } }

Example schema_json: {"type":"json_schema","json_schema":{"name":"document_schema","schema":{"type":"object","properties":{"company_name":{"type":"string","description":"Company name"},"invoice_number":{"type":"string","description":"Invoice number"},"total_amount":{"type":"number","description":"Total amount"}}}}}

Generate an extraction schema for a document using Upstage AI's schema generation API.

This tool analyzes a document and automatically generates a JSON schema that defines the structure and fields that can be extracted from similar documents. The generated schema can then be used with the extract_information tool when auto_generate_schema is set to false.

This is useful when you want to:

• Create a reusable schema for multiple similar documents

• Have more control over the extraction fields

• Ensure consistent field naming and structure across extractions

Supported file formats: JPEG, PNG, BMP, PDF, TIFF, HEIC, DOCX, PPTX, XLSX Max file size: 50MB Max pages: 100

The tool returns both a readable schema object and a schema_json string that can be directly copied and used with the extract_information tool.

Classify a document into predefined categories using Upstage AI's document classification API.

This tool analyzes a document and classifies it into one of several predefined categories such as invoice, receipt, contract, CV, bank statement, and others. You can use the default classification schema or provide your own custom classification categories.

Supported file formats: JPEG, PNG, BMP, PDF, TIFF, HEIC, DOCX, PPTX, XLSX Max file size: 50MB Max pages: 100

DEFAULT CATEGORIES:

• invoice: Commercial invoice with itemized charges and billing information

• receipt: Receipt showing purchase transaction details

• contract: Legal agreement or contract document

• cv: Curriculum vitae or resume

• bank_statement: Bank account statement showing transactions

• tax_document: Tax forms or tax-related documents

• insurance: Insurance policy or claims document

• business_card: Business card with contact information

• letter: Formal or business letter

• form: Application form or survey form

• certificate: Certificate or diploma

• report: Business report or analytical document

• others: Other document types not listed above

CUSTOM CATEGORIES: Simply provide an array of categories in schema_json: [ {"const": "category1", "description": "Description of category 1"}, {"const": "category2", "description": "Description of category 2"}, {"const": "others", "description": "Other"} ]

Example custom schema_json: [{"const":"medical","description":"Medical records or health documents"},{"const":"legal","description":"Legal documents"},{"const":"financial","description":"Financial statements or reports"},{"const":"others","description":"Other"}]