Structured Data Validator
Wire your coding agent to validate, transform, and normalize JSON or structured payloads before tools and APIs trust them.
Overview
Structured Data Validator is a MCP server for the Build phase that validates, transforms, and normalizes structured data so AI agents can trust tool inputs and outputs.
What is this MCP server?
- Validate structured payloads against expectations before agents act on them
- Transform and normalize records so downstream tools get predictable fields
- Ships as npm @agenson-horrowitz/structured-data-validator-mcp v1.0.8 with stdio transport
- Purpose-built for AI agent pipelines, not one-off CLI linting
- GitHub source at agenson-tools/structured-data-validator-mcp
- Package version 1.0.8
- npm identifier @agenson-horrowitz/structured-data-validator-mcp
- stdio MCP transport
What problem does it solve?
Agents often emit or accept JSON that looks right in chat but fails silently in production integrations.
Who is it for?
Solo builders adding agent tools that must not break on messy API or user-generated structured data.
Skip if: Teams that only need HTML scraping or full ETL pipelines without an in-agent validation step.
What do I get? / Deliverables
After install, your agent can call MCP tools to enforce shape and normalization before data hits your app or external APIs.
- Registered stdio MCP server in your agent config
- Callable validate, transform, and normalize tools for agent sessions
- Cleaner structured payloads at integration boundaries
Recommended MCP Servers
Journey fit
Structured data hygiene belongs in the build phase when you connect agents to schemas, webhooks, and third-party APIs. Integrations are where bad shapes break tool calls; this MCP server keeps agent I/O consistent at the boundary.
How it compares
MCP data-validation integration, not a standalone agent skill or spreadsheet cleaner.
Common Questions / FAQ
Who is Structured Data Validator for?
It is for indie developers and agent builders who need repeatable validate-and-normalize steps inside Claude Code, Cursor, or other MCP-capable clients.
When should I use Structured Data Validator?
Use it while building agent workflows that consume webhooks, APIs, or generated JSON and must match a schema before writes or tool chains continue.
How do I add Structured Data Validator to my agent?
Install @agenson-horrowitz/structured-data-validator-mcp from npm, configure stdio MCP in your agent, and register the server in your MCP settings per your client’s docs.