mcp-mistral-ocr

Provides an MCP server that performs OCR using Mistral AI’s OCR API. It can process files from a mounted local directory (images/PDFs) and can process files from URLs when the caller supplies an explicit file type; results are written as timestamped JSON files inside an OCR output directory under the configured OCR_DIR.

Evaluated Mar 30, 2026 (22d ago)
Repo ↗ Ai Ml mcp ocr mistral python docker claude-desktop documents text-extraction
⚙ Agent Friendliness
58
/ 100
Can an agent use this?
🔒 Security
50
/ 100
Is it safe for agents?
⚡ Reliability
22
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
70
Documentation
65
Error Messages
0
Auth Simplicity
85
Rate Limits
10

🔒 Security

TLS Enforcement
60
Auth Strength
45
Scope Granularity
20
Dep. Hygiene
55
Secret Handling
70

TLS enforcement for outbound calls to Mistral/OCR endpoints is not described in the README (assumed by typical HTTPS usage, but not guaranteed). Auth is a single static MISTRAL_API_KEY with no per-user/per-tool scopes described. The README instructs passing the key via environment variables, which is generally safer than hard-coding, but no guidance is given about logging/redaction or handling sensitive contents. Dependency list is small but dependency CVE hygiene cannot be confirmed from provided data.

⚡ Reliability

Uptime/SLA
0
Version Stability
35
Breaking Changes
35
Error Recovery
20
AF Security Reliability

Best When

You want a simple MCP-based OCR capability integrated into desktop/agent tooling, using Docker and a single Mistral API key.

Avoid When

You need clear, documented operational guarantees (retries, error codes, rate limit headers) or fine-grained authorization/scopes for multi-tenant deployments.

Use Cases

  • Extract text from scanned documents (PDF/image) via an MCP tool
  • OCR for documents stored in a local volume mounted into the container
  • OCR for publicly reachable documents/images via URL + explicit file_type
  • Integrating OCR into Claude Desktop workflows using MCP

Not For

  • Performing OCR without user-provided access to images/PDFs (e.g., arbitrary private URLs not reachable by the server)
  • High-volume/real-time interactive OCR where strict latency/throughput SLAs are required
  • Use cases that need strong built-in access controls per user beyond holding an API key
  • Workflows requiring documented rate-limit behavior, retries, and idempotency guarantees at the MCP layer (not specified)

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
No
Webhooks
No

Authentication

Methods: MISTRAL_API_KEY environment variable
OAuth: No Scopes: No

Authentication is via a single Mistral API key passed to the container via environment variable (no OAuth or per-tool scopes described).

Pricing

Free tier: No
Requires CC: No

The MCP server itself is open-source (MIT per metadata), but OCR calls incur Mistral OCR API costs. No cost calculator or tiers are described in the README.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • process_local_file requires the file to be present in the mounted OCR_DIR container path (mapped to /data/ocr in the README example).
  • process_url_file requires explicit file_type ('image' or 'pdf'); agents must supply it correctly.
  • Large inputs are limited by Mistral API constraints (50MB and up to 1000 pages); agents should pre-check or handle failures.

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Scores are editorial opinions as of 2026-03-30.

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