# arpeio-mcp

> Use this tool when you need to streamline data management tasks, such as database export, transfer, and migration, and build high-performance data commands. The arpeio-mcp server enables AI assistants to preview and execute these commands, solving problems related to data integration and workflow automation. It accepts data commands as input and outputs executed results, making it ideal for use cases that require efficient data processing and pipeline management.

Canonical page: https://skillsregistry.net/skills/arpe-io-arpeio-mcp  
JSON: https://api.skillsregistry.net/v1/skills/arpe-io-arpeio-mcp

## Description

Unified MCP server for Arpe.io data tools enabling AI assistants to build, preview, and execute high-performance data commands including database export, transfer, pipeline, and migration.

## Trust

- **Trust score (0–1):** 0.59
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/luqlgwiec8)
- **Repository:** <https://github.com/arpe-io/arpeio-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": "arpe-io-arpeio-mcp"
    }
  }
}
```

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