# Data Processing MCP Server

> Use this tool when you need to efficiently process and analyze data in various formats, such as CSV, JSON, and text, to extract insights and statistics. It solves problems related to data parsing, summarization, filtering, conversion, and analysis, providing users with a robust interface to input data and receive output in a usable format. Ideal for use cases requiring rapid data processing and analysis, such as data science, research, and business intelligence applications.

Canonical page: https://skillsregistry.net/skills/felipevandevelde-mcp  
JSON: https://api.skillsregistry.net/v1/skills/felipevandevelde-mcp

## Description

A FastMCP server for data processing tasks including CSV, JSON, text analysis, and numeric statistics, enabling users to parse, summarise, filter, convert, and analyze data through MCP tools.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t5acro9a33)
- **Repository:** <https://github.com/FelipeVandevelde/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": "felipevandevelde-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/felipevandevelde-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/felipevandevelde-mcp/pull`

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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