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Structured Data Validator & Transformer MCP Server

@agenson-tools

代码仓库主页

基本信息

分类

数据与分析

许可证

MIT

传输方式

stdio

作者

agenson-tools

提交者

agenson-horrowitz

关于 Structured Data Validator & Transformer MCP Server

Professional MCP server for validating, transforming, and normalizing structured data - built specifically for AI agents

Structured Data Validator & Transformer MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "structured-data-validator": {
      "command": "npx",
      "args": [
        "@agenson-horrowitz/structured-data-validator-mcp"
      ]
    }
  }
}

Structured Data Validator & Transformer MCP Server 工具

5

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

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

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

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

概览

What is Structured Data Validator & Transformer?

Structured Data Validator & Transformer is an MCP server that provides AI agents with data validation, transformation, and normalization capabilities. It handles messy, inconsistent data from APIs, web scraping, user uploads, and other agents, returning clean, validated, normalized data.

How to use Structured Data Validator & Transformer?

Install via npm (npm install -g @agenson-horrowitz/structured-data-validator-mcp) or add to Claude Desktop or Cline configuration. Invoke tools like validate_json_schema, transform_csv_to_json, normalize_data, clean_text, and merge_datasets with JSON arguments.

Key features of Structured Data Validator & Transformer

  • JSON Schema validation with detailed error reporting
  • Intelligent CSV to JSON conversion with auto-type inference
  • Data normalization for dates, phone numbers, currencies, and emails
  • Text cleaning: remove HTML, fix encoding, normalize whitespace
  • Dataset merging with configurable conflict resolution strategies
  • Sub-2-second response times for typical agent workloads

Use cases of Structured Data Validator & Transformer

  • Validate API responses before processing
  • Ensure user input matches expected format
  • Clean and normalize scraped web data
  • Merge multiple datasets with smart conflict resolution
  • Standardize date, phone, and currency formats across records

常见问题

1

How do I authenticate with the server?

Authentication is handled via MCPize (one-click deployment with built-in billing), direct API keys from agensonhorrowitz.cc, or crypto micropayments using USDC on Base chain.

2

What are the pricing plans?

Free tier: 500 calls/month. Pro tier: $9/month for 10,000 calls/month. Scale tier: $29/month for 50,000 calls/month. Overage: $0.02 per call beyond plan limits.

3

What are the data limits and performance characteristics?

Maximum request size is 10 MB. Average response time is under 2 seconds. Scale tier guarantees 99.5% uptime SLA. Rate limit is 10 calls/second (configurable).

4

Can I run this server locally?

Yes, you can clone the repository, install dependencies, build, and test locally. The server is also available via npm and can be run with npx.

5

What data formats are supported?

The server supports JSON, CSV (with automatic delimiter detection), and common text formats. It can normalize dates, phone numbers, currencies, and email addresses.

评论

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