# mcp-server

> Use this tool when you need to analyze and summarize local data stored in CSV and Parquet files, and integrate insights into AI models through MCP tools. It solves problems of data incompatibility and limited analysis capabilities by providing a seamless interface for data interaction. The mcp-server tool takes in local data files as input and outputs summarized and analyzed data, making it ideal for use cases requiring efficient data processing and model training.

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

## Description

Enables AI models to interact with local CSV and Parquet data through MCP tools, providing summarization and analysis capabilities.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qvoc2jfgee)
- **Repository:** <https://github.com/laurensanp/mcp-server>

## 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": "laurensanp-mcp-server"
    }
  }
}
```

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