
Markaestro
com.markaestro由 markaestro.com 發布官方發布者v0.4.0更新於 Nov 4, 2026
Schedule, publish, and review social posts and analytics for a Markaestro brand.
概覽
Markaestro 的 MCP 伺服器讓 AI 助理為某個品牌草擬、排程、發佈社群貼文並檢視成效分析。
- 可以做什麼
- 列出可操作的品牌、發佈目的地,以及品牌描述、語氣與視覺風格
- 依狀態讀取貼文,編輯草稿或已排程貼文,刪除草稿或取消尚未發佈的貼文
- 建立、批次建立、改期或改狀態的貼文,並排入立即發佈
- 上傳並檢視媒體素材
- 取得品牌與單篇貼文分析、指標歷史、最佳發文時段,並重新整理平台即時指標
- 管理長青循環內容佇列並追蹤發佈工作的執行結果
- 適用情境
- 當你透過 Markaestro 管理社群媒體,希望助理在對話中草擬、排程與發佈貼文,或查看成效數據與發文時段建議時適用。
- 執行需求
- 可使用託管端點並以 OAuth 登入(無需貼上憑證),或在本地以 npx 執行 npm 套件(stdio)。無介面使用需要 Markaestro 工作區 API 金鑰,透過 MARKAESTRO_API_KEY 或 Authorization 標頭傳入;可選用 MARKAESTRO_READ_ONLY=1 僅啟用讀取工具。需要連線至 Markaestro 與各社群平台的網路。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Markaestro,將其新增到工作區。
- 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
交給代理程式安裝
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/com.markaestro%2Fmcp/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。
{
"mcpServers": {
"markaestro": {
"type": "http",
"url": "https://markaestro.com/api/public/v1/mcp"
}
}
}README
@markaestro/mcp
A Model Context Protocol server that lets AI
agents (Claude Code, Claude, Cursor, ChatGPT, Grok, Grok Bot, OpenClaw, Hermes,
and any other MCP client) schedule, publish, and review Markaestro posts
through the public API. Exact connection steps per client are on
https://markaestro.com/developers/agents (?client=cursor, chatgpt, grok,
grok-bot, openclaw, hermes, or headless opens that tab).
Every key covers either one brand or every brand in its workspace, chosen
when the key is created or at the sign-in consent. A single-brand key works on
that brand alone. An all-brands key sees every brand: list_products returns
them all, and the agent passes productId to create_post, create_posts,
list_posts, and create_evergreen_queue, and to the analytics tools to
report on one brand instead of the whole workspace.
Tools
The Evergreen tools (preview_, create_, get_, list_, update_,
activate_, pause_, and resume_evergreen_queue, list_evergreen_runs,
get_evergreen_analytics) manage proven recurring content.
Agents manage social media and nothing else: account settings, billing,
team, API keys, webhooks, and channel connections are not exposed, and no
tool deletes a published post, takes one down from a platform, or archives
an Evergreen queue. Those stay with the user in Markaestro. The same rule
holds at the REST layer for a key issued through the agent sign-in: it
cannot remove a published post, take one down from a platform, or manage
webhooks (FORBIDDEN_AGENT_CONNECTION). A key a person mints in Settings
keeps the full REST surface its scopes allow.
Also served: the markaestro://channel-rules resource and a schedule_post
prompt that walks an agent through a safe scheduling flow.
Posting is draft-first. create_post without scheduledAt never publishes;
publish_post is the only tool that publishes now, and its description tells
the agent to confirm with the user first.
Two ways to connect
Hosted (nothing to install, nothing to paste). Markaestro serves the
same tools over Streamable HTTP at https://markaestro.com/api/public/v1/mcp.
Add it with no credentials and the first tool call opens the browser: sign
in, pick the workspace and brand, click Allow. The client receives an API key
bound to that brand and refreshes it on its own.
This is standard OAuth 2.1 (PKCE, dynamic client registration, discovery at
/.well-known/oauth-protected-resource and
/.well-known/oauth-authorization-server), so claude.ai, Cursor, and other
MCP clients connect the same way. Connected agents are listed and revoked in
Settings, API.
For headless or CI use, pass a workspace API key as a bearer header instead:
Send x-markaestro-read-only: 1 as an extra header to get only the reading
tools.
Local package. Run the server on your machine over stdio, which also
lets upload_media read local files:
Setup
- Create an API key in Markaestro under Settings > API Access. Pick the brand,
the scopes the agent needs (
products.read,posts.read,posts.write,media.write, andposts.publishif it may publish), and prefer a test key while you evaluate. - Give the key to the server through
MARKAESTRO_API_KEY.
Claude Code
Claude Desktop, Cursor, and other JSON configs
Environment
What the server does for you
- Sends an
Idempotency-Keyon every mutation, minted once per call, so a retried request replays instead of double-posting. - Retries
429and transient5xxresponses using the server'sRetry-After. - Runs the three-step direct media upload (session,
PUTto storage, finalize) and never sends the API key to the storage URL. - Returns API failures as tool errors with the stable error
code, any per-channelissues, and a hint about what to change.
Claude Code plugin
The skill and the hosted server ship together as a plugin:
Deploying
Maintainers: the full release runbook (every surface, the version files, and the exact
commands) is docs/operations/mcp-release.md in the Markaestro app repository. Summary:
Development
Unit tests live in src/__tests__ and run with the repository's npm test.
The smoke script starts the built server over stdio, lists tools, reads the
brand, creates a draft, reads it back, and deletes it. Nothing is published.
來源:mcp/README.md,提交 64ae61c
工具
0版本歷史
4- v0.4.0最新Nov 4, 2026
- v0.3.4Oct 17, 2026
- v0.3.3Sep 27, 2026
- v0.3.2Sep 24, 2026
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