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Validate JSON payloads against schemas with precise error paths and results.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "JSON Schema Validator MCP" yet — see the docs or source repo.
Use JSON Schema Validator MCP to validate whether the following API response matches the schema, and list all error paths and reasons. Schema: { "type": "object", "properties": { "id": { "type": "integer" }, "name": { "type": "string" } }, "required": ["id", "name"] } ; JSON: { "id": "12", "title": "Alice" }Returns whether validation passed, with exact paths and reasons such as wrong id type and missing name.
Use JSON Schema Validator MCP to verify whether this app configuration JSON satisfies the schema. If not, output detailed errors by field path. The schema requires port to be an integer between 1 and 65535, and env to be one of dev, staging, or prod.
Gets the validation result and precise locations for issues like port range or invalid enum values.
I am about to import a batch of JSON records. Use JSON Schema Validator MCP to validate them one by one and summarize failed records, including each error path, failure reason, and overall pass rate.
Outputs a batch validation report with pass rate, failed samples, and detailed errors for each record.
Validate JSON data against JSON Schema standards quickly and reliably.
Validate JSON, emails, URLs, and API responses to catch quality issues fast.
Generate, validate, format, and manipulate JSON data structures easily.
Validate JSON, emails, and other inputs for agents and applications.
Read JSON files and query target data with JSONPath expressions.
Query and process large Swagger/OpenAPI docs to quickly find API details.