LinkedIn Content Planner
概览
作者提供的说明(英文原文)
Draft, revise and review LinkedIn posts; a human approves each one before it goes live.
PopNx MCP 的三大支柱
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
- 用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
- 我们的基础检查i1 项中通过 1 项依据公开信息检查;尚未扫描代码
- 使用情况i非常新★ –
它能帮你做什么
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
- 连接方式: 在云端运行
- 传输方式: Streamable HTTP
- 分类: 营销与社交媒体
安装
选择你使用的 AI 应用,然后复制设置。
安装之前
- 基础检查:1 项中通过 1 项
- 在作者的服务器上运行:你向它提出的内容会经过他们的服务器。
- 注册中心没有列出需要填写的密钥。
你需要
- 在云端运行无需安装任何东西,通过互联网连接
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
- 打开 Settings → Connectors
- 点击 Add custom connector
- 粘贴下面的地址,然后点击 Add
- 如果要求登录,请登录作者的服务
https://linkedin-mcp.theona.app/mcp在终端中运行这条命令
claude mcp add --transport http linkedin-content-planner https://linkedin-mcp.theona.app/mcp或者自己复制设置
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"linkedin-content-planner": {
"url": "https://linkedin-mcp.theona.app/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
或者自己复制设置
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"linkedin-content-planner": {
"type": "http",
"url": "https://linkedin-mcp.theona.app/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
- 打开网页版 ChatGPT → Settings → Connectors (Apps)
- 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
- 粘贴下面的地址,起个名字,然后保存
- 如果要求登录,请登录作者的服务
https://linkedin-mcp.theona.app/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它能做什么
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
基础检查i
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日
- ✓ 通过
作者与仓库一致
注册名称已通过域名 theona.app 验证(注册中心会核实域名所有权)
- … 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
- … 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
- … 尚未检查
端点有响应
尚未检查;我们会轮流检查各个端点
- … 尚未检查
使用 OAuth 登录
尚未检查;我们会轮流检查各个端点
- … 尚未检查
工具描述中没有隐藏指令
尚未检查;我们会在检查端点时读取工具列表
与“营销与社交媒体”中的其他服务器比较i
- 星标数多于此分类中其他 3592 个服务器的 0%
- 发布到注册中心的时间比此分类中其他 3592 个服务器的 28% 更新
- 基础检查结果等于或优于此分类中其他 3592 个服务器的 100%
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
常见问题
LinkedIn Content Planner 安全吗?
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
它需要哪些密钥或代码?
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在我的电脑上运行还是在云端?
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
它还在维护吗?
GitHub 仓库最后更新于–,最新版本(0.1.0)于2个月前进入注册中心。
哪些应用可以使用它?
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
有什么可以替代它?
同一分类中有:MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
替代选择
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Google Analytics MCP
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
BibiGPT YouTube Video Summarizer
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
作者的 README
打开 README
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
LinkedIn Content Planner (MCP)
A LinkedIn content pipeline built for AI agents, not humans typing into a text box. Your agent (Claude Code, Claude Desktop, or any MCP-compatible client, on whatever schedule you run it — cron, an agent loop, a chat session) drafts, formats, and moves posts through a review pipeline by calling MCP tools directly: create_post, update_post_content, submit_review, and more. A human just reviews, comments, and approves/requests changes from the web UI before anything goes live — the same shape as reviewing a PR before merge, not manually operating a scheduling tool.
Multi-tenant and OAuth-secured out of the box: agents authenticate against the planner's own OAuth 2.1 authorization server (PKCE, dynamic client registration) and every MCP call is scoped to the caller's workspace.
See PLAN.md and ARCHITECTURE.md for the full design.
Local development
Requirements: Node 20+, pnpm, a Postgres 16 instance (via infra/docker-compose.yml or a local install).
# 1. Start Postgres
docker compose -f infra/docker-compose.yml up -d
(or point DATABASE_URL at any local Postgres 16 instance)
2. Install dependencies
pnpm install
3. Configure env
cp apps/server/.env.example apps/server/.env
edit DATABASE_URL if not using the default docker-compose credentials
4. Generate + run migrations, seed default workspace
pnpm --filter @linkedin-planner/db generate DATABASE_URL=postgres://linkedin_planner:linkedin_planner@localhost:5432/linkedin_planner_dev pnpm --filter @linkedin-planner/db migrate DATABASE_URL=postgres://linkedin_planner:linkedin_planner@localhost:5432/linkedin_planner_dev pnpm --filter @linkedin-planner/db seed
5. Run the server
pnpm dev:server
MCP tool surface
Posts: create_post, list_posts, get_post, update_post_content, str_replace_post_content, set_post_state, set_post_date, delete_post. Versions: list_versions, get_version_diff, revert_to_version. Review: submit_review, list_reviews. Comments: add_comment, list_comments, resolve_comment. Attachments: prepare_attachment_upload, attach_file, list_attachments. Preview: render_preview. Webhooks (subscribe to post lifecycle events): create_webhook, list_webhooks, update_webhook, delete_webhook, list_webhook_deliveries. Full tool schemas are served at the /mcp endpoint itself; see PLAN.md for the design rationale behind each.
Uploading an attachment
attach_file takes base64 inline, which is only practical for small files: a 160 KB image is ~217,000 base64 characters, more context than most agents can spend and more than any of them can retype without a silent corruption. Anything larger goes through a ticket instead:
prepare_attachment_upload(postId, filename, mimeType)
-> { uploadUrl, method: "PUT", expiresAt, maxBytes }
curl -T ./carousel.pdf ' ' # bytes never enter the conversation list_attachments(postId) # confirm it landed
The URL embeds an HMAC-signed ticket scoped to that one post, valid 15 minutes, and rejected afterwards. Both paths converge on the same attachFile service, so the 25 MB per-file and 250 MB per-workspace caps apply identically. Set ATTACHMENT_UPLOAD_SECRET when running more than one instance — unset, each process signs with its own random key and a ticket minted by one instance will not verify on another.
Access keys
Some MCP clients cannot run the OAuth flow — an Apify Standby Actor, for one, whose Authorization header already carries the caller's Apify token. For those, a signed-in user creates a long-lived access key on the Connect page (/connect?label=Apify prefills the form) and the client sends it as Authorization: Bearer planner_mcp_….
A key opens /mcp for one workspace as the user who created it, and /mcp still re-checks that membership on every request. Only the key's sha256 is stored, so it is shown once and can only be revoked afterwards. When the key store cannot be reached, /mcp answers 503 rather than 401, so a client holding a working key is not told to replace it.
Discovery
Two unauthenticated documents let a client — or an MCP registry — learn what this server is and how to authenticate before it holds any credential:
| Path | What it says |
|---|---|
/.well-known/mcp.json | Server card: name, description, version, source repo, and the streamable-http endpoint at /mcp. Shaped to the MCP registry's server.json schema, so the bytes served here are the bytes submitted when publishing to a registry. The auth scheme rides in _meta under the registry's reverse-DNS key, since server.json has no first-class field for it. |
/.well-known/oauth-protected-resource/mcp | RFC 9728 Protected Resource Metadata: the resource identifier, the authorization server, and the single planner:agents scope. This is what /mcp's 401 WWW-Authenticate header points at, and it stays authoritative — the card only signposts it. |
The card is served in every configuration; with AUTH_ENABLED unset it advertises authorization: { type: "none" } and the PRM is not registered at all, because the OAuth authorization server it would name is not mounted either. Both documents are built from APP_PUBLIC_BASE_URL, the same value the token check validates aud against.
The server's name and version live in apps/server/src/mcp/identity.ts and feed both the card and the serverInfo block of the MCP initialize response, so a registry listing cannot drift from what a connected client sees.
Publishing to the registry
Listed in the official MCP registry as app.theona/linkedin-content-planner. The namespace is the reverse DNS of theona.app and is proved by an Ed25519 TXT record on that domain's apex; the private half is MCP_REGISTRY_DNS_KEY and exists nowhere else. Rotation is one new key pair, one edited TXT record, one replaced secret — which is why the key needs no escrow and why any doubt about it should be answered by rotating rather than investigating.
It is an *environment* secret on mcp-registry, not a repository secret. A repository secret is readable by any workflow that anyone with write access adds; this one is released only to a job that names the environment and clears its rules — a required reviewer, and deployments restricted to v* tags. So pushing a tag does not publish: it opens a run that waits for a human.
Releasing is pushing a v tag once the new version is deployed. The Publish to MCP Registry workflow fetches /.well-known/mcp.json from production and submits those bytes; nothing in this repository restates the card, so there is no second copy to drift. The order matters and the workflow enforces it: a tag whose version does not match what the deployed server reports fails the run rather than publishing the previous release's card under the new version's name. Deploy, then tag.
Monorepo layout
apps/server— REST API + MCP server (Streamable HTTP at/mcp), same process, same core logic.apps/web— React UI: backlog, calendar, post review.packages/core— domain types and service layer shared by REST and MCP.packages/formatting— markdown-subset ⇄ LinkedIn Unicode formatting.packages/db— Drizzle ORM schema and migrations.
License
PolyForm Noncommercial License 1.0.0. Source-available, not OSI open source: free to use, modify, and self-host for any noncommercial purpose; any commercial or paid use requires a separate license from Theona, Inc.