mcp-ocr-server

Provides an MCP (Model Context Protocol) server for OCR on images using Tesseract OCR and GoCV/OpenCV, including configurable and auto image preprocessing (quality analysis, denoising, thresholding, deskew, contrast/brightness adjustments), worker pooling, and result caching keyed by SHA256.

Evaluated Apr 04, 2026 (16d ago)

Repo ↗ Ai Ml mcp ocr tesseract opencv gocv preprocessing local-ai-tooling

⚙ Agent Friendliness

/ 100

Can an agent use this?

🔒 Security

/ 100

Is it safe for agents?

⚡ Reliability

/ 100

Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality

Documentation

Error Messages

Auth Simplicity

100

Rate Limits

🔒 Security

TLS Enforcement

Auth Strength

Scope Granularity

Dep. Hygiene

Secret Handling

No auth/authorization is documented for the MCP server. The server processes images provided by users/agents; ensure you control file path access and sanitize/limit input sizes (max_image_size exists). TLS guarantees for MCP transport are not described.

⚡ Reliability

Uptime/SLA

Version Stability

Breaking Changes

Error Recovery

Best When

You want a locally run OCR capability exposed via MCP tools with preprocessing and caching for repeated inputs.

Avoid When

You need a documented authentication/authorization model, rate-limit guarantees, or a publicly hosted multi-tenant API.

Use Cases

• Extracting text from scanned documents/images
• OCR for mixed-language content (eng/chi_sim/chi_tra/jpn)
• Batch OCR for multiple images
• Integrating OCR as an MCP tool for local/desktop assistants (e.g., Claude Desktop)

Not For

• Real-time OCR at very high throughput without resource tuning
• Environments requiring strong transport/authentication controls at the MCP layer (no auth described)
• Use cases that require an HTTP/REST contract or webhooks

Interface

REST API

GraphQL

gRPC

MCP Server

Yes

SDK

Webhooks

Authentication

OAuth: No Scopes: No

No authentication/authorization mechanism is described in the provided README for the MCP server.

Pricing

Free tier: No

Requires CC: No

Self-hosted open-source project; costs are infrastructure-dependent.

Agent Metadata

Pagination

none

Idempotent

True

Retry Guidance

Not documented

Known Gotchas

⚠ Tool inputs include local file paths (image_path); agents must ensure the MCP server has access to those paths.
⚠ Base64 OCR may be large; ensure payload sizes and server-side max image limits are respected (max_image_size configurable).
⚠ OCR performance depends on worker_pool_size, cache settings, and preprocessing configuration; misconfiguration can cause latency or memory pressure.
⚠ Tesseract language data must exist at data_path/tessdata; missing languages will fail requests.

Alternatives

Run Tesseract CLI directly and build a thin wrapper Use an OCR API from a managed provider (e.g., Google Vision, AWS Textract, Azure OCR) Use existing OCR libraries/frameworks with a REST API wrapper

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Scores are editorial opinions as of 2026-04-04.