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ai.dataecho/mcp

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

Links

README

From the repo.

DataEcho — agent skills

license: MIT

Two Agent Skills for the DataEcho platform:

SkillWhat it does
dataechoDeploy 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-memoryPersistent 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

# 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:

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

What's inside

  • skills/dataecho/SKILL.md — publish handshake, Dockerfile app contract, claim contract, Drives, API-key flow
  • skills/dataecho-memory/SKILL.md — the memory discipline (recall-first, update-don't-duplicate, forget-what's-wrong)
    • scripts/memory.shrecall / 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.
  • 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; the canonical scripts are versioned in this repo.

Links

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

License

MIT

Config for your environment

Use the endpoint URL below in your config. No API key — you connect directly.

Tool

OS

Config file: ~/.cursor/mcp.json

{
  "mcpServers": {
    "mcp-server": {
      "url": "https://dataecho.ai/mcp"
    }
  }
}

Paste into mcpServers in the config file. Restart Cursor after saving.

If this MCP is also published on mcpchannel.ai, you can subscribe from Browse and use the gateway config there instead.