A
licenseNot graded
qualityD
maintenanceEnables intelligent document processing by extracting text, classifying document types, and generating structured summaries from PDFs and images using vision LLMs.
MIT
Orion Vision MCP Server
Related Servers
Alternatives to Orion Vision MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityFmaintenanceEnables PDF document processing including text, image, and table extraction, as well as intelligent classification and similarity analysis across multiple languages.50MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to parse and search documents including PDF, Word, Excel, PowerPoint, and images via OCR, with support for semantic search and batch processing.2MIT
- AlicenseAqualityAmaintenanceReads passports, ID cards and driver's licences from a photo or scan and returns the printed fields and MRZ as structured JSON. One credit ($0.01) per recognised document; nothing is charged when no document is found.6106 npmMIT
- AlicenseAqualityCmaintenanceEnables AI assistants to extract and structure content from documents (PDFs, images, Office files) using Upstage AI's document digitization and information extraction APIs.23MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents and users to process documents through natural language, supporting PDF operations like text extraction, redaction, splitting, form filling, annotations, and content search.45 npm62MIT
TDQS
C2.6/5.0
Scored across 2 tools
Disambiguation1/5
The two tools have nearly identical purposes: both use Azure Form Recognizer to extract structured data from documents/forms. 'analyze-document' and 'extract-form-data' are functionally indistinguishable, with no clear boundary between them. This high ambiguity will cause agents to misselect between tools.
Naming Consistency3/5
Both tools use kebab-case naming, which is consistent. However, the verb choices ('analyze' vs 'extract') are different despite similar functionality, creating minor inconsistency. The naming pattern is readable but not perfectly aligned in purpose.
Tool Count2/5
With only 2 tools, the server feels thin for a vision/document processing domain. A typical MCP server for this scope would include more operations like text extraction, image analysis, or OCR configuration. The minimal tool count limits functionality and suggests incomplete coverage.
Completeness2/5
For a vision/document processing server, there are significant gaps: no image analysis tools, no OCR configuration, no batch processing, and no support for different document types beyond forms. The surface is severely limited, focusing only on form data extraction without broader vision capabilities.
Maintenance
ActivityInactive
ResponsivenessNo issues