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@iflow-mcp/theycallmeholla-schema-org-mcp

v0.1.0

Published

MCP server for schema.org vocabulary

Readme

Schema.org MCP Server

An MCP (Model Context Protocol) server that provides access to schema.org vocabulary for structured data.

Features

  • Get Schema Type: Retrieve detailed information about any schema.org type
  • Search Schemas: Search for schema types by keyword
  • Type Hierarchy: Explore inheritance relationships between types
  • Type Properties: List all properties available for a type (including inherited)
  • Generate Examples: Create example JSON-LD for any schema type

Installation

# Clone the repository
git clone https://github.com/yourusername/schema-org-mcp.git
cd schema-org-mcp

# Install dependencies
npm install

# Build the project
npm run build

# Run the server
npm start

Usage

With Claude Desktop

Add this to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "schema-org": {
      "command": "node",
      "args": ["/path/to/schema-org-mcp/dist/index.js"]
    }
  }
}

Available Tools

1. get_schema_type

Get detailed information about a schema.org type.

{
  "typeName": "Person"
}

2. search_schemas

Search for schema types by keyword.

{
  "query": "article",
  "limit": 10
}

3. get_type_hierarchy

Get the inheritance hierarchy for a type.

{
  "typeName": "NewsArticle"
}

4. get_type_properties

Get all properties available for a type.

{
  "typeName": "Organization",
  "includeInherited": true
}

5. generate_example

Generate an example JSON-LD for a type.

{
  "typeName": "Recipe",
  "properties": {
    "name": "Chocolate Chip Cookies",
    "prepTime": "PT20M"
  }
}

Development

# Run TypeScript compiler in watch mode
npm run dev

# Run tests
npm test

# Build for production
npm run build

How It Works

The server downloads and caches the complete schema.org vocabulary in JSON-LD format. It then provides various tools to:

  1. Query type definitions and their properties
  2. Navigate the type hierarchy
  3. Generate valid JSON-LD examples
  4. Search through the entire vocabulary

The data is fetched from the official schema.org JSON-LD file and indexed in memory for fast access.

Examples

Finding Types for a Website

User: "What schema types should I use for a blog post?"

Assistant uses: search_schemas with query "blog"
Then: get_type_hierarchy for "BlogPosting"
Finally: generate_example for "BlogPosting"

Understanding Type Properties

User: "What properties can I use for a Product?"

Assistant uses: get_type_properties for "Product" with includeInherited: true

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT License - see LICENSE file for details.