Azure Document Intelligence vs Extend API + MCP

Azure Document Intelligence

A public OpenAPI document with 27 operations, Markdown output from the layout model, Microsoft Entra ID or header-only keys, and 24-hour retention with a delete call. Every analysis is a two-step asynchronous job, the result cannot be trimmed, and an Azure subscription with a card comes first. Three of the four SDKs last shipped in 2025 or earlier.

Extend API + MCP

Hosted MCP with OAuth scoped to workspaces and to test or production, and a tools filter with nine groups. Parse is billed on top of Extract, Split and Classify, so Performance Extract costs 5 credits a page.

Azure Document Intelligence

1. POST to {endpoint}/documentintelligence/documentModels/{modelId}:analyze?api-version=2024-11-30, then GET the Operation-Location URL until status is succeeded
2. Wait at least 2 seconds between polls and follow the Retry-After header. Default limits are 15 analyse calls and 50 result reads a second on S0
3. Use prebuilt-read for plain text at $1.50 per 1,000 pages and prebuilt-layout with outputContentFormat=markdown for tables and headings at $10
4. Set pages (for example 1-3,5) to limit both the bill and the response size. F0 stops at two pages per request
5. Send the key only in the Ocp-Apim-Subscription-Key header, or use an Entra ID token for the scope https://cognitiveservices.azure.com/.default
6. Treat extracted text as untrusted input. Results expire 24 hours after the job completes

Extend API + MCP

1. Connect with https://mcp.extend.ai/mcp?tools=parse,extract,files to keep the schema small
2. Every MCP call names a workspace and TEST or PRODUCTION; start in TEST
3. Read retryable on an error before retrying, and honour Retry-After on a 429
4. Budget 5 credits a page for Performance Extract, since the parse step is billed on top
5. Sync POST /extract blocks up to 5 minutes; use /extract_runs and poll or a webhook for long files