接入你的智能体
發布者自己的 URL。不是 PlugMCP 端點。
用我們的金鑰與日誌託管一份副本。
https://dataecho.ai/mcp上方的 Claude 按鈕會開啟 Claude，並填好名稱和 URL。你仍需在那裡確認。
claude mcp add --transport http ai.dataecho-mcp https://dataecho.ai/mcpRun in a terminal.
{ "mcpServers": { "ai.dataecho-mcp": { "command": "npx", "args": [ "-y", "mcp-remote", "https://dataecho.ai/mcp" ] } }}claude_desktop_config.json
遠端 URL 還是本機指令？ 兩種安裝方式的差異
來自發布者
Two Agent Skills for the DataEcho platform:
Deploy files, sites, and Dockerfile apps to live URLs + private drives for agent memory.
| 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.
# 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
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
Deploy files, sites, and Dockerfile apps to live URLs + private drives for agent memory.
{ "mcpServers": { "ai.dataecho-mcp": { "url": "https://dataecho.ai/mcp", "headers": {} } }}工具
尚無工具清單。遠端伺服器會在首次健康檢查後取得工具清單。
常見問題
在本頁複製適用於 Cursor、Claude Desktop、Claude Code 或 VS Code 的 http 設定。它使用發布者的安裝方式，而不是 PlugMCP 代理伺服器。
這筆記錄未列出必要的環境變數。
Dataecho 透過 HTTP 存取。
上次檢查時間：2026-11-07。 Deploy files, sites, and Dockerfile apps to live URLs + private drives for agent memory.