A straightforward JSON Schema validator that works with draft 7, 2019-09, and 2020-12 specs. You can validate JSON documents against schemas and generate schemas from example JSON, which is handy when you're reverse-engineering APIs or need to formalize data structures on the fly. Built by MEOK AI Labs with pip or npx installation. The repo emphasizes EU AI Act compliance features like bias detection and transparency tracking, so if you're building in regulated spaces or need audit trails around data validation, that's baked in. MIT licensed and part of their broader governance-focused MCP ecosystem.
JSON Schema validator MCP — validate against draft 7/2019-09/2020-12, generate schemas from examples
JSON Schema validator MCP — validate against draft 7/2019-09/2020-12, generate schemas from examples. MIT.
# Install via pip
pip install schema_validator_ai_mcp
# Or install via Smithery
npx -y @smithery/cli@latest install schema-validator-ai-mcp --client claude
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|---|---|
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MIT © CSOAI-ORG
Built with 💜 by MEOK AI Labs · UK Companies House 16939677
MIT © [MEOK AI Labs](https://meok.ai)Build something that touches users? You need compliance. MEOK ships 38 governance MCPs that drop in alongside this tool — EU AI Act, DORA, NIS2, CRA, GDPR, ISO 42001, FDA SaMD, MDR, Basel, MiFID II, MiCA, COPPA, and more.
# One-shot install of the governance pack
npx meok-setup --pack governance
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|---|---|---|---|
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Add to your claude_desktop_config.json (Claude Desktop) or your MCP client config:
{
"mcpServers": {
"schema-validator-ai-mcp": {
"command": "uvx",
"args": ["schema-validator-ai-mcp"]
}
}
}
Or: pip install schema-validator-ai-mcp then run the schema-validator-ai-mcp command (stdio transport).
Once configured, ask your assistant, for example:
validate_json_schema to …"generate_schema to …"convert_openapi to …"