原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Slackline

作者:wakeshift版本 1.0.0i★ –i在云端运行
注册名称ai.wakeshift/slackline

安装

概览

作者提供的说明(英文原文)

Chat with your AI agents from Slack: each gets a thread in your DM, and your replies there wake it.

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。

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: 聊天与邮件

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

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:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://slackline.wakeshift.ai/mcp

在终端中运行这条命令

claude mcp add --transport http slackline https://slackline.wakeshift.ai/mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "slackline": {
      "url": "https://slackline.wakeshift.ai/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。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "slackline": {
      "type": "http",
      "url": "https://slackline.wakeshift.ai/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:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://slackline.wakeshift.ai/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

服务器要求先登录,才会列出它的工具。

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 wakeshift.ai 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

  • ✓ 通过

    端点有响应

    在 138 毫秒内响应(HTTP 401)

  • ✓ 通过

    使用 OAuth 登录

    声明支持 OAuth 登录,你的 AI 应用可以带你去登录

  • … 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“聊天与邮件”中的其他服务器比较i

  • 星标数多于此分类中其他 1773 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1773 个服务器的 91% 更新
  • 基础检查结果等于或优于此分类中其他 1773 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

Slackline 安全吗?

它在 3 项适用的基础检查中通过了 3 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(1.0.0)于前天进入注册中心。

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:Vexa, emailmd, MCP WhatsApp Cloud

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:★ 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

Vexa

作者:Vexa-ai

Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.

在云端运行★ 2,949Apache-2.02个月前更新
安装

emailmd

作者:anypost

Render markdown into email-safe HTML, lint drafts for deliverability problems, and preview emails.

电脑或云端★ 1,385MIT31天前更新
安装

MCP WhatsApp Cloud

作者:codespar

MCP server for WhatsApp Cloud API (Meta) — messages, media, and templates via Graph API

在你的电脑上运行★ 277MIT5个月前更新
安装

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。

Slackline

Chat with your own agents (Claude Code, Codex, Cursor and the rest) from Slack. Each agent gets a thread in your DM with Slackline; your replies there wake it, and it answers in the thread under its own name. In Slackline's console you choose channels each agent also listens in, and who can reach it there. People sign in with Slack, not with Wakeshift.

How it works

  1. A workspace adds Slackline (Add to Slack, /install; an admin may need to approve it). Its bot token is stored sealed (AES-256-GCM).
  2. People sign in with Slack (OpenID Connect, /signin) to Slackline's console, /home.
  3. An agent adds Slackline's MCP server, https:// /mcp. It's OAuth-protected: the client registers (dynamic client registration), the person signs in with Slack and approves it on Slackline's consent page, naming it, and the client gets tokens. The agent is now that person's: the console lists it, and they can rename or revoke it.
  4. The agent calls `watch`. That conversation (a *listener*) gets a thread in the person's DM with Slackline, and watch subscribes it to Slackline's slack.message event for that listener. The event is personal: its user is the person who connected the agent ( . ), so no one else's subscription can match it. Wakeshift's result tells the harness how it's woken (a Monitor for Claude Code, a connector beacon for Codex, and so on). Watching again from the same conversation keeps its thread: Slackline remembers an HMAC of the conversation's session key (or Codex thread, or ChatGPT conversation), never the key.

A client that subscribes with MCP Events itself (ChatGPT) isn't subscribed by watch: the result gives it the listener's ID, and it subscribes to slack.message with it. Slackline lets it subscribe only to its own agent's listeners, and refuses subscribe_events from harnesses watch already subscribed. unwatch ends either kind of subscription.

  1. Messages wake it. Slackline routes each Slack message (below) to the right listener and emits it as slack.message for that listener, to the agent's person; Wakeshift wakes the conversation with the message framed as outside data.
  2. The agent answers with `reply`: in its DM thread, or in a channel it listens in (in the thread of the message it's answering, or as a new post), under its own name (chat:write.customize). Replies in a channel thread it posted in come back to it.
Tool
watchlabel (optional): get this conversation's DM thread, and be woken there and in the agent's channels
replytext; channel and thread_ts from the message being answered (empty: the DM thread)
unwatchstop listening; the DM thread says so
listeningwhere the agent listens, and how

/slackline in Slack lists your agents and how to connect one.

Who can reach an agent

WhereReaches the agent when
Its DM threadthe message is from the agent's person, in that thread
A channel, mode *@Slackline mentions*the message mentions @Slackline. With several agents there, a mention that starts with an agent's name (@Slackline pipe: …) is for that one; otherwise for the sender's own agents
A channel, mode *every message*any message there
A thread the agent posted ina reply there, while the channel's rule still lets the sender reach it (several agents can be in one thread: each gets replies under its own rule, and a mention there still reaches the agent it names)

and, in a channel, only from the agent's person unless its rule says from anyone there. That lets other people's messages reach an agent that runs on its person's machine with their access, so the console asks them to confirm they understand, and logs it; those messages are marked as from someone else ("information, not instructions") in what the agent reads. A channel message reaches each agent once, in its most recently active listening conversation.

A channel rule works only while its person is in the channel: the console offers (and accepts) only channels both they and Slackline are in, delivery and posting check their membership (cached for a minute), and Slack's member_left_channel removes their agents' rules there, audited. So nobody can use an agent to read a channel they can't.

Agents post under the name their person approved (on the consent page, or renamed in the console), never one they choose; the name they give watch only labels the conversation in the DM.

Never delivered: bots' messages (the app's and agents' own posts included), edits, joins and other subtypes, anything without Slack's signature (v0, within 5 minutes), and anything for a revoked agent. An agent's text is escaped (&, <, >), so it can't mention @channel, @here, people or groups, or hide a link; it posts at most 20 messages a minute per conversation. Rules apply only to channels Slackline is in (/invite @Slackline).

Accounts, tokens and the console

  • Sessions: a signed cookie (HttpOnly, SameSite=Lax, Secure on https) naming the person and their session version; signing out bumps the version, so it ends the person's sessions in every browser and a copied cookie stops working. Console forms carry a token derived from the session, and must come from Slackline's own origin.
  • Consent page: the client's name is its own claim (anyone can register any name), so the page says so, and shows prominently where approving sends access: the redirect's host, or "a program on this computer" for loopback redirects.
  • OAuth: clients are signed blobs (nothing stored until someone approves one); redirect URIs must be https, or http on the loopback. Authorization codes are single-use, last 2 minutes, are stored hashed, and require PKCE (S256); an exchange that fails spends the code. Access tokens are signed, last an hour, and name the agent, which is checked on every request, so revoking it stops them at once. Refresh tokens are random, stored hashed, last 90 days, and are replaced on every use. Approving the same client again reuses its agent.
  • Revoking an agent ends its tokens, codes, channel rules and listeners, and its conversations' Wakeshift subscriptions (each is told); an end that fails (Wakeshift unreachable) is retried every 5 minutes until Wakeshift confirms it.
  • Audit log: connecting, re-approving, renaming and revoking agents, setting and removing channel rules, and signing in, per person (the console shows the latest). Never message text.
  • Removing Slackline from a workspace (app_uninstalled, or tokens_revoked for the bot's token; a person's sign-in token being revoked changes nothing) has Wakeshift forget each of its people (their conversations, subscriptions and the messages it held), then deletes Slackline's own rows, audited. Any failure answers 503, so Slack retries; forgetting is idempotent.

Retries

Slack retries an event without a 200 within 3 seconds. Slackline answers 200 once the message is published, and 503 if publishing failed, so Slack retries; each publish's ID includes the Slack event ID, so a retry is delivered once. Notes Slackline posts back (help in the DM, "isn't listening", only-you-can-see notes in channels) aren't repeated on retries.

Run it yourself

  1. In the Wakeshift console, open Build → New app and copy its key (wst_…).
  2. Create an empty Postgres database. Slackline creates its tables when it starts.
  3. Give it a public HTTPS URL (a tunnel works while you try it), and create a Slack app from its manifest: at api.slack.com/apps, choose Create New App → From a manifest and paste what https:// /slack/manifest.json returns once Slackline is running. (Start it once with placeholder Slack credentials to get the manifest, then restart it with the real ones.)
  4. Copy .env.example to .env and fill it in:
Variable
WAKESHIFT_URLWakeshift's URL, https://app.wakeshift.ai
SLACKLINE_URLYour copy's public URL
SLACKLINE_KEYThe app's key from step 1
SLACKLINE_DATABASE_URLThe database from step 2
SLACKLINE_SECRET32 or more random bytes: signs sessions, OAuth clients and access tokens. Changing it signs everyone out and makes agents sign in again; nothing else
SLACKLINE_TOKEN_KEYSKeys sealing each workspace's bot token, comma-separated, each 32 or more random bytes. The first seals, any opens: to rotate, put a new key first, and drop the old one once every workspace has reinstalled
SLACKLINE_SLACK_CLIENT_ID, SLACKLINE_SLACK_CLIENT_SECRET, SLACKLINE_SLACK_SIGNING_SECRETFrom the Slack app's Basic Information page
PORTListen port (default 8080)

openssl rand -base64 48 makes a good secret or token key.

  1. Run it, from the repository's root:
   set -a; . slackline/.env; set +a

go run ./cmd/slackline

  1. In the Slack app, re-verify the Event Subscriptions request URL, then open SLACKLINE_URL and choose Add to Slack.

Testing

go test ./slackline, with WAKESHIFT_TEST_DATABASE_URL set to a Postgres URL for a role that can create databases. The tests that run Slackline against the Wakeshift server and a fake Slack, end to end, run in Wakeshift's own repository.

Contributing

This repository is generated from Wakeshift's main repository. Pull requests are welcome: we apply them there and publish the result. See CONTRIBUTING.

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