# mix_server

> Use this tool when you need to analyze or retrieve information from local CSV and Parquet data files using natural language queries. It solves problems like data summarization and information retrieval, allowing AI assistants to interact with local data files. The mix_server tool takes natural language queries as input and returns relevant data or summaries as output, ideal for use cases where data insights are needed quickly and efficiently.

Canonical page: https://skillsregistry.net/skills/hassenamri005-mcp-server-example  
JSON: https://api.skillsregistry.net/v1/skills/hassenamri005-mcp-server-example

## Description

Enables AI assistants to interact with local CSV and Parquet data files through natural language queries, facilitating tasks like summarizing datasets or retrieving specific information.

## 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:** productivity
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/prq2g69uq2)
- **Repository:** <https://github.com/Hassenamri005/mcp-server-example>

## 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": "hassenamri005-mcp-server-example"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hassenamri005-mcp-server-example` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hassenamri005-mcp-server-example/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