# ai.dataecho/mcp

> ai.dataecho/mcp — ai-dataecho-mcp. Use this tool when you need to deploy files, sites, and Dockerfile apps to live URLs and manage private drives for agent memory, solving problems of rapid deployment and secure data storage. It takes in files, sites, and Dockerfile apps as inputs and outputs live URLs and private drive configurations. Ideal for use cases requiring swift and secure deployment of applications and data, streamlining development and testing workflows.

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

## Description

Deploy files, sites, and Dockerfile apps to live URLs + private drives for agent memory.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-07-04

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.dataecho%2Fmcp)
- **Repository:** <https://github.com/mohocp/dataecho>

## Use it

MCP endpoint published by the skill: `https://dataecho.ai/mcp`

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": "ai-dataecho-mcp"
    }
  }
}
```

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