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Structured Data Validator MCP server

by agenson-horrowitz·io.github.agenson-horrowitz/structured-data-validator·v1.0.8

Validate, transform, and normalize structured data for AI agents.

B75/100grade B
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Safety scan
B75/100

full report

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If you have run it, two minutes of your experience saves the next person an afternoon.

Structured Data Validator tools (5, 1 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • clean_textwrite action

    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_datasets

    Merge multiple JSON datasets with deduplication and conflict resolution. Handles overlapping data intelligently, perfect for agents combining data from multiple sources.

  • normalize_data

    Standardize common data formats like dates, phone numbers, currencies, and addresses. Essential for agents processing user input or scraped data with inconsistent formatting.

  • transform_csv_to_json

    Convert CSV data to structured JSON with intelligent type inference. Handles messy CSV data, auto-detects delimiters, infers data types (numbers, dates, booleans).

  • validate_json_schema

    Validate JSON data against a schema with detailed error reporting. Perfect for agents receiving API responses or user data that needs validation before processing.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan3 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 178 days ago8/15
  • Maintainer identitynamespace and repository owner differ4/10
Overall 75/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Structured Data Validator compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
75/100
higher than 45% of 48,255 servers
Tools
5
the typical server has 7
Tools that change things
20%
typical: 0%. Fewer write tools means less an agent can break

What its tools let an agent do: 3 read · 2 change

Install Structured Data Validator in Claude Code, Cursor or VS Code

Runs npx -y @agenson-horrowitz/structured-data-validator-mcp on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add structured-data-validator -- npx -y @agenson-horrowitz/structured-data-validator-mcp
Add to Cursor

Structured Data Validator: common questions

Is Structured Data Validator MCP server safe?
Mostly: it is graded B (75/100). Read the Structured Data Validator safety report
How do I install Structured Data Validator?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Structured Data Validator need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Structured Data Validator maintained?
The last commit was 216 days ago (2026-04-02). The latest release is v1.0.8.
What can I use instead of Structured Data Validator?
Servers from other publishers that do the same job: Oh My Posh Validator MCP server.
How does Structured Data Validator compare with other MCP servers?
safety score 75/100 (higher than 45% of 48,255 servers); tools 5 (the typical server has 7); tools that change things 20% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Structured Data Validator

Same job from other publishers: the closest match first, then the best rated.

  • Oh My Posh Validator
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