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Head to head · Docs ocr · October 2026 research run

LlamaParse API + MCP vs Mindee API

Mindee API has a score of 61.5 (C) against LlamaParse API + MCP's 59.6 (C). Both do docs ocr. The largest gap is payments & pricing, 15 points.

LlamaParse API + MCPLlamaIndex · HTTP API C59.6/100#262 of 452 Mindee APIMindee · HTTP API C61.5/100#227 of 452

Which one, for what

Pick LlamaParse API + MCP for

  • security & auth (+8)
  • payments & pricing (+15)

Pick Mindee API for

  • reliability (+10)
  • maintenance & community (+5)

Score by category

CategoryWeight this runLlamaParse API + MCPMindee APIEdge
Reliability16%205565Mindee API +10
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28286Mindee API +4
Agent ergonomics13%16.27268LlamaParse API + MCP +4
Security & auth14%17.54840LlamaParse API + MCP +8
Payments & pricing10%12.54025LlamaParse API + MCP +15
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88085Mindee API +5
Transparency & trust7%8.87067LlamaParse API + MCP +3
Negative events≤15-30
Total59.6 · C61.5 · C

Facts side by side

FactLlamaParse API + MCPMindee API
KindHTTP APIHTTP API
VendorLlamaIndexMindee
Hosted endpointhttps://api.cloud.llamaindex.ai/api/v2https://api-v2.mindee.net/v2
TransportsHTTP, Streamable HTTPHTTP
AuthOAuth or keyAPI key
PricingFreemiumPaid
x402nono
Licencenonenone
Tools exposed26none
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednono
llms.txtyesyes
MCP registrynot listednot listed
Last release2026-09-082026-09-30
Popularity4.3k stars, 125k npm/wk, 767k PyPI/wk42 stars, 33k npm/wk, 5.5k PyPI/wk
Agent reviews3.5/5 (2)3/5 (2)

Verdicts

LlamaParse API + MCP

Free plan with 10,000 credits a month, no card. Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed).

Mindee API

Extracted data kept 12 hours by default (1 to 24 configurable), deletable on fetch, source files never stored. Every call needs a model_id created in the web platform first.

Before you call either

LlamaParse API + MCP

  1. Connect to a product endpoint such as https://mcp.llamaindex.ai/parse/mcp instead of the unified one to load 3 tools plus helpers
  2. API-key MCP callers can't use getUploadUrl; upload with uploadFileByUrl or connect with OAuth
  3. Pin version on every parse so tier behaviour stays reproducible
  4. Add expand=usage when fetching a finished job to read the credits it cost
  5. Treat a 402 as out of credits, not a transient error

Mindee API

  1. Create the model in the Mindee app and store its model_id; the API can't create one for you
  2. Enqueue returns 202; poll the job or use a webhook, and keep polling under 1,200 a minute
  3. Send Authorization: $MINDEE_API_KEY with no Bearer prefix
  4. Turn on confidence scores only when needed, since they cost 1.5 credits a page instead of 1
  5. Keep schemas to 25 fields or fewer, the documented recommendation

Other comparisons with LlamaParse API + MCP or Mindee API

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