JSON Schema, TypeScript types, mocks for AI agents
Valid MCP server (2 strong, 3 medium validity signals). 2 known CVEs in dependencies (0 critical, 2 high severity) Package registry verified. Imported from the Official MCP Registry.
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Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-rog0x-schema": {
"args": [
"-y",
"@rog0x/mcp-schema-tools"
],
"command": "npx"
}
}
}From the project's GitHub README.
MCP server providing schema validation and generation tools for AI agents.
Generate a JSON Schema from sample JSON data. Infers types, required fields, formats (email, date, URI, UUID), and detects enum patterns from multiple examples.
Generate TypeScript interfaces and types from JSON data or a JSON Schema. Handles nested objects, arrays, optional fields, enums, and union types.
Validate data against a JSON Schema with detailed error messages including JSON path, expected type, actual value, and the violated constraint keyword.
Generate realistic mock data from a JSON Schema. Smart field-name detection produces contextual values: email fields get valid emails, name fields get realistic names, phone fields get formatted numbers, etc.
Compare two JSON Schemas to find added, removed, and changed fields. Identifies type changes, constraint changes, and classifies each difference as breaking or non-breaking for backwards compatibility analysis.
npm install
npm run build
Add to your claude_desktop_config.json:
{
"mcpServers": {
"schema-tools": {
"command": "node",
"args": ["path/to/mcp-schema-tools/dist/index.js"]
}
}
}
MIT
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