OCR MCP Server
Related Servers
Alternatives to OCR MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceAn MCP server for image recognition and OCR via OpenAI-compatible vision APIs, supporting local files, URLs, and data URLs. Enables natural language image description and text extraction.12 npm2MIT
- AlicenseNot gradedqualityDmaintenanceAn MCP server that provides OCR capabilities using the EasyOCR library, supporting over 80 languages and GPU acceleration. It enables processing images from base64 strings, local files, or URLs with options for text-only or detailed coordinate and confidence output.2Apache 2.0
- AlicenseNot gradedqualityDmaintenanceHigh-performance OCR server using native Tesseract (C++) for text extraction from images, integrable with ChatGPT Desktop and other MCP clients.11MIT
- AlicenseAqualityFmaintenanceAn MCP server that adds image recognition to AI coding tools, enabling them to analyze images, extract text, and perform OCR via multimodal APIs and traditional OCR engines.324MIT
- AlicenseAqualityCmaintenanceEnables local OCR transcription of images using tesseract.js, with optional low-token AI-generated descriptions, folder batch processing, and compatibility with MCP clients like ChatGPT, Claude, opencode, and Cursor.47 npmMIT
- AlicenseAqualityBmaintenanceMCP server that analyzes images, reads code and ZIP archives, and provides text context for non-vision models.310 npm2MIT
TDQS
Scored across 2 tools
The two tools have completely distinct purposes: one lists supported languages, while the other performs OCR text recognition. There is no overlap in functionality, making it impossible to confuse them.
Both tools follow a consistent verb_noun pattern (list_ocr_languages, recognize_text) with clear, descriptive names that align well with their functions. No deviations or mixed conventions are present.
With only 2 tools, the server feels thin for an OCR domain, as it lacks operations like batch processing, format conversion, or configuration management. While the core OCR function is covered, the scope is minimal and may limit agent workflows.
The server covers basic OCR functionality (list languages and recognize text), but there are notable gaps such as no tools for image preprocessing, batch OCR, or error handling. It provides a starting point but lacks comprehensive coverage for advanced OCR tasks.