🔍 RDF Validation Server with AI

� Documentation & Resources:

📖 MCP4BibFrame Documentation - Complete BibFrame ontology reference with examples

This validator integrates with the MCP4BibFrame Documentation API to provide authoritative BibFrame ontology information during AI-powered corrections.

🚀 Quick Start:

1. Paste your RDF/XML in the input box above
2. Click "Validate RDF" to check for errors
3. Review AI suggestions for plain-language fixes (enhanced with BibFrame documentation)
4. Copy the corrected RDF from the output

�🚀 Deployment Instructions for Hugging Face Spaces:

1. Create a new Space on Hugging Face
2. Set up your Hugging Face Inference Endpoint and get the endpoint URL
3. Set your tokens in Space settings (use Secrets for security):
   • Go to Settings → Repository secrets
   • Add: HF_API_KEY = your_huggingface_api_key_here
   • Endpoint is now hardcoded to your specific Inference Endpoint
4. Upload these files to your Space repository
5. Install requirements: The Space will auto-install from requirements.txt

🔧 MCP Server Mode:

This app functions as both a web interface AND an MCP server for Claude Desktop and other MCP clients.

Available MCP Tools:

• validate_rdf_tool: Validate RDF/XML against SHACL shapes
• get_ai_suggestions: Get AI-powered fix suggestions (with BibFrame docs)
• get_ai_correction: Generate corrected RDF/XML (with BibFrame docs)
• get_rdf_examples: Retrieve example RDF snippets
• validate_rdf_interface: Complete validation with AI suggestions and corrections (primary tool)

MCP Configuration (Streamable HTTP): Add this configuration to your MCP client (Claude Desktop, etc.):

{
  "mcpServers": {
    "rdf-validator": {
      "url": "https://jimfhahn-mcp4rdf.hf.space/gradio_api/mcp/"
    }
  }
}

Alternative SSE Configuration:

{
  "mcpServers": {
    "rdf-validator": {
      "url": "https://jimfhahn-mcp4rdf.hf.space/gradio_api/mcp/sse"
    }
  }
}

💡 Features:

• ✅ Real-time RDF/XML validation against SHACL schemas
• 🤖 AI-powered error suggestions and corrections (enhanced with BibFrame ontology docs)
• 📚 Built-in examples and templates
• 🔗 Integrated with MCP4BibFrame Documentation API
• 📋 Copy results with one click

BibFrame Documentation Integration: AI corrections now use authoritative BibFrame ontology information from the MCP4BibFrame Documentation API to ensure accuracy and compliance with official specifications.

🔗 Related Resources:

• MCP4BibFrame Documentation - BibFrame ontology reference
• BIG DCTAP Documentation
• BIBFRAME Ontology
• SHACL Specification

Note: AI features require a valid Hugging Face API key (HF_API_KEY) set as a Secret. Manual suggestions are provided as fallback.