# Structured Data Validator & Transformer MCP Server

> Use this tool when you need to validate and transform structured data for AI processing, solving problems such as inconsistent data formats and quality issues. It takes in JSON, CSV, and text data as inputs and outputs normalized, cleaned, and merged datasets. Ideal for use cases requiring data standardization, schema validation, and preprocessing for machine learning models or data analytics pipelines.

Canonical page: https://skillsregistry.net/skills/agenson-tools-structured-data-validator-mcp  
JSON: https://api.skillsregistry.net/v1/skills/agenson-tools-structured-data-validator-mcp

## Description

Provides AI agents with data validation, transformation, and normalization capabilities, including JSON schema validation, CSV processing, data normalization, text cleaning, and dataset merging.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j7wtvywd7n)
- **Repository:** <https://github.com/agenson-tools/structured-data-validator-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "agenson-tools-structured-data-validator-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/agenson-tools-structured-data-validator-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/agenson-tools-structured-data-validator-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt