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A newer version of the Gradio SDK is available: 5.34.0

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metadata
title: Mcp4rdf
emoji: 🔗
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 5.33.0
app_file: app.py
pinned: false
license: cc0-1.0
tag: mcp-server-track

Mcp4rdf - RDF Validation Server with AI

Space Link: https://huggingface.co/spaces/jimfhahn/mcp4rdf

This is a Gradio app that serves as an RDF validation tool and an MCP (Model Context Protocol) server. It allows users to validate RDF/XML content against SHACL schemas, and provides AI-powered suggestions and corrections for validation errors using a Hugging Face Inference Endpoint.

Track: MCP Server / Tool Tag: mcp-server-track

MCP Server in Action

The MCP server can be tested by connecting an MCP client to the Gradio app's API endpoint. The application is live and can be accessed at the Space Link above.

Features:

  • Real-time RDF/XML validation against SHACL schemas (Monograph and custom templates).
  • AI-powered error suggestions and corrections via a Hugging Face Inference Endpoint.
  • Built-in examples for valid, invalid, and BibFrame RDF.
  • Auto-validation as you type.
  • Easy-to-use Gradio interface.
  • Exposes MCP server functionality for clients like Claude Desktop.

MCP Server Tools Exposed:

  • validate_rdf_tool: Validate RDF/XML against SHACL shapes.
  • get_ai_suggestions: Get AI-powered fix suggestions.
  • get_ai_correction: Generate corrected RDF/XML.
  • get_rdf_examples: Retrieve example RDF snippets.

Setup and Deployment on Hugging Face Spaces:

  1. Hugging Face Space: This application is deployed at https://huggingface.co/spaces/jimfhahn/mcp4rdf.
  2. Inference Endpoint: The application is configured to use a specific Hugging Face Inference Endpoint for AI features.
  3. API Key: To enable AI features, the HF_API_KEY (your Hugging Face API token with access to the Inference Endpoint) must be set as a Secret in the Space settings.
    • Go to your Space → Settings → Repository secrets.
    • Add: HF_API_KEY = your_huggingface_api_key_here.
  4. Requirements: The Space automatically installs dependencies from requirements.txt.

MCP Connection:

  1. When deployed on Hugging Face Spaces, the MCP server is available at: https://jimfhahn-mcp4rdf.hf.space/gradio_api/mcp/sse (Note: The Space ID jimfhahn-mcp4rdf might vary slightly based on HF naming conventions, please verify the exact URL from your Space).
  2. Use this URL in your MCP client's configuration (e.g., Claude Desktop).

Acknowledgments:

This application utilizes concepts, code patterns, and profiles inspired by the work of the Bibframe Interoperability Group (BIG) DCTAP and The bf-demo-validation-tool.