id = "ocr-mcp"
name = "OCR Document Processing"
version = "0.2.0"
schema_version = 1
authors = ["Sandra <sandraschipal@hotmail.com>"]
description = "Advanced multi-engine OCR and document analysis with FastMCP 2.14.3 conversational features"
repository = "https://github.com/sandraschipal/ocr-mcp"
[context_servers.ocr-mcp]
name = "OCR Document Processing Server"
command = "python"
args = ["-m", "ocr_mcp.server"]
env = { "PYTHONPATH" = "src" }
[context_servers.ocr-mcp.models]
path = "./models"
description = "OCR model files and configurations"
[context_servers.ocr-mcp.capabilities]
sampling = true
resources = true
prompts = true
tools = true
logging = true
conversational_responses = true
agentic_workflows = true
[context_servers.ocr-mcp.features]
fastmcp_version = "2.14.3"
conversational_returns = true
sampling_with_tools = true
sep_1577_compliant = true
persistent_storage = true
enhanced_responses = true
[context_servers.ocr-mcp.tools]
document_processing = "OCR, analysis, quality assessment operations"
image_management = "Image preprocessing and conversion operations"
scanner_operations = "Scanner hardware control operations"
workflow_management = "Batch processing, pipelines, system operations"
agentic_document_workflow = "AI-orchestrated multi-document processing (SEP-1577)"
[context_servers.ocr-mcp.prompts]
process_instructions = "Interactive OCR processing guidance"
quality_assessment_guide = "OCR quality evaluation workflow"
[context_servers.ocr-mcp.resources]
logs = "OCR processing logs and system status"
capabilities = "Available OCR backends and features"
performance_metrics = "Processing statistics and performance data"
[context_servers.ocr-mcp.dependencies]
python = ">=3.11"
fastmcp = ">=2.14.3"
torch = ">=2.0.0"
transformers = ">=4.35.0"
[context_servers.ocr-mcp.backends]
deepseek_ocr = "Advanced vision model for complex documents"
florence_2 = "Microsoft vision model for layout understanding"
pp_ocrv5 = "Industrial-grade OCR with high reliability"
tesseract = "Classic OCR with extensive language support"
easyocr = "Multi-language OCR for international documents"
[context_servers.ocr-mcp.workflows]
single_document = "Process individual documents with intelligent backend selection"
batch_processing = "Parallel processing of multiple documents"
quality_assessment = "Comprehensive OCR accuracy evaluation"
layout_analysis = "Document structure and element detection"
agentic_orchestration = "AI-powered workflow automation (SEP-1577)"
