Schema | Structured Data Validator & Transformer MCP Server

Structured Data Validator & Transformer MCP Server

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

Features and capabilities supported by this server

Capability	Details
`tools`	{}

Functions exposed to the LLM to take actions

Name	Description
validate_json_schemaB	Validate JSON data against a schema with detailed error reporting. Perfect for agents receiving API responses or user data that needs validation before processing.
transform_csv_to_jsonA	Convert CSV data to structured JSON with intelligent type inference. Handles messy CSV data, auto-detects delimiters, infers data types (numbers, dates, booleans).
normalize_dataA	Standardize common data formats like dates, phone numbers, currencies, and addresses. Essential for agents processing user input or scraped data with inconsistent formatting.
clean_textA	Remove HTML tags, fix encoding issues, normalize whitespace, and extract clean text from messy input. Perfect for agents processing scraped web content or user-submitted text.
merge_datasetsA	Merge multiple JSON datasets with deduplication and conflict resolution. Handles overlapping data intelligently, perfect for agents combining data from multiple sources.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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