# mcp [Health: Active]

**Category:** 🧠 Knowledge & Memory  
**Repository:** https://github.com/mohocp/dataecho  
**GitHub Stars:** 0  
**Views:** 0  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/mcp-9

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

## Claude Desktop Quick Installation
Install path detected from listing signals. Uses `npx` (confidence: high):

```json
"mcpServers": {
  "mcp": {
    "command": "npx",
    "args": ["-y","skills"]
  }
}
```

## Documentation & README

# DataEcho — agent skills

[![license: MIT](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE)

Two [Agent Skills](https://agentskills.io) for the **[DataEcho](https://dataecho.ai)** platform:

| Skill | What it does |
|---|---|
| [`dataecho`](skills/dataecho/SKILL.md) | **Deploy anything to a live URL in seconds** — a single file, a static site, or a full server-side app (any stack, via Dockerfile). Anonymous publish with a claim flow, incremental deploys, private Drives with scoped share tokens. |
| [`dataecho-memory`](skills/dataecho-memory/SKILL.md) | **Persistent memory for agents** — durable across sessions, machines, sandboxes, and platforms. A ~1 KB index + one fact per file on a private versioned drive; atomic concurrent-safe writes, full history/undo, one-command handoff to another agent. |

Both are plain `SKILL.md` + self-contained scripts (bash + python3 stdlib, zero dependencies), so they work in **any agent that supports the open Agent Skills format** — Claude Code, OpenAI Codex, Gemini CLI, Cursor, GitHub Copilot / VS Code, Goose, opencode, Qwen Code, Amp, Cline, Kilo, Hermes, OpenClaw, and more.

## Install

```bash
# both skills, any supported agent (global; drop -g for project-local)
npx skills add mohocp/dataecho -g

# just one of them
npx skills add mohocp/dataecho --skill dataecho -g
npx skills add mohocp/dataecho --skill dataecho-memory -g
```

Claude Code plugin route:

```
/plugin marketplace add mohocp/dataecho
/plugin install dataecho@dataecho
```

No npm? Install the deploy helper scripts directly:

```bash
curl -fsSL https://dataecho.ai/install.sh | bash        # macOS / Linux
```
```powershell
irm https://dataecho.ai/install.ps1 | iex               # Windows PowerShell
```

## What's inside

- [`skills/dataecho/SKILL.md`](skills/dataecho/SKILL.md) — publish handshake, Dockerfile app contract, claim contract, Drives, API-key flow
  - [`scripts/publish.sh`](skills/dataecho/scripts/publish.sh) — 3-call publish (create → upload → finalize), incremental deploys, anonymous-claim handling
  - [`scripts/drive.sh`](skills/dataecho/scripts/drive.sh) — drive CRUD, import/export, scoped share tokens, ETag-safe writes
  - [`scripts/publish.ps1`](skills/dataecho/scripts/publish.ps1) — Windows PowerShell publisher
- [`skills/dataecho-memory/SKILL.md`](skills/dataecho-memory/SKILL.md) — the memory discipline (recall-first, update-don't-duplicate, forget-what's-wrong)
  - [`scripts/memory.sh`](skills/dataecho-memory/scripts/memory.sh) — `recall / remember / forget / reindex / history / restore / handoff`; every mutation commits fact + index in one atomic CAS batch

## Security & privacy

- **Credentials**: the API key (obtained via an email one-time code) is stored at `~/.artifact/credentials` (`chmod 600`), or passed via `$ARTIFACT_API_KEY`. Nothing else is written outside the project. Revoke keys any time from the [dashboard](https://dataecho.ai/dashboard).
- **Network**: scripts talk only to `https://dataecho.ai` (override: `$ARTIFACT_BASE_URL`). No telemetry, no third-party calls.
- **Anonymous publishes** need no account; they expire in 24 h unless claimed. Claim tokens are saved locally under `~/.artifact/claims/`.
- **Memory is private storage**, scoped to your account; share access is via revocable, prefix/TTL-scoped drive tokens. Don't store secrets in memories — it's not a vault.
- The `curl | bash` installer above is a convenience mirror of [`install.sh`](https://dataecho.ai/install.sh); the canonical scripts are versioned in this repo.

## Links

Docs: https://dataecho.ai/docs · Agent context: https://dataecho.ai/llms.txt · [llms-full.txt](https://dataecho.ai/llms-full.txt) · OpenAPI: https://dataecho.ai/openapi.json · Discovery: https://dataecho.ai/.well-known/agent.json

## License

[MIT](LICENSE)