ocr-mcp
Related Servers
Alternatives to ocr-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceEnables parsing and extraction of content from various document formats (PDF, Word, Excel, PowerPoint) into Markdown format using the Niutrans document API.15MIT
- FlicenseNot gradedqualityCmaintenanceProvides OCR (Optical Character Recognition) capabilities through MCP, including text extraction and document layout parsing to Markdown. Supports multiple PaddleOCR models like PP-OCRv5, PP-OCRv6, and PP-StructureV3.-
- FlicenseNot gradedqualityDmaintenanceEnables OCR on images and PDFs, including full-page OCR, region OCR by description or bounding box, and caching with summary capabilities.-
- FlicenseNot gradedqualityBmaintenanceEnables conversion between PDF/Office documents and structured JSON, supporting extraction and generation of document content.-
- FlicenseNot gradedqualityDmaintenanceEnables integration between MCP clients and the Handwriting OCR service, allowing users to upload images and PDF documents, check processing status, and retrieve OCR results as Markdown.17-
- AlicenseNot gradedqualityAmaintenanceEnables document conversion and processing through MCP, including Office/PDF/Markdown conversions, OCR, and PDF operations like split, rotate, encrypt, and extract.MIT
TDQS
Scored across 7 tools
The tools are well-differentiated: parse_document submits, get_task_status checks status, list_tasks lists, and the three getter tools retrieve different result formats (markdown, content blocks, full result) with clear boundaries.
All tools follow a consistent verb_noun snake_case pattern (e.g., get_markdown, list_tasks, parse_document). Only reprocess_task slightly deviates as a compound verb but still fits the pattern.
With 7 tools, the server covers the essential OCR workflow (submit, status, retrieve results, list, reprocess) without unnecessary redundancy, making the count appropriate for its purpose.
The tool set covers the core lifecycle: submission, status polling, result retrieval in multiple formats, listing, and reprocessing. Minor gaps like deletion or batch operations exist but are non-essential for typical OCR tasks.