The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Dataecho MCP listing page.
Two Agent Skills for the DataEcho platform:
| Skill | What it does |
|---|---|
dataecho | 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 | 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.
Claude Code plugin route:
No npm? Install the deploy helper scripts directly:
skills/dataecho/SKILL.md — publish handshake, Dockerfile app contract, claim contract, Drives, API-key flow
scripts/publish.sh — 3-call publish (create → upload → finalize), incremental deploys, anonymous-claim handlingscripts/drive.sh — drive CRUD, import/export, scoped share tokens, ETag-safe writesscripts/publish.ps1 — Windows PowerShell publisherskills/dataecho-memory/SKILL.md — the memory discipline (recall-first, update-don't-duplicate, forget-what's-wrong)
scripts/memory.sh — recall / remember / forget / reindex / history / restore / handoff; every mutation commits fact + index in one atomic CAS batch~/.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 (override: $ARTIFACT_BASE_URL). No telemetry, no third-party calls.~/.artifact/claims/.curl | bash installer above is a convenience mirror of install.sh; the canonical scripts are versioned in this repo.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