COTAL actions (cotal.ai)
概览
作者提供的说明(英文原文)
cotal.ai actions: product overview, site search, build log, feedback, Cloud waitlist, updates, calls
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: 搜索与 AI 记忆
安装
选择你使用的 AI 应用,然后复制设置。
通过 5/5 项检查 · 你的提问会经过开发者的服务器(cotal.ai)
第一步:你用哪个 AI?
选择你用的应用,步骤会显示在下方。
可连接 Claude · 约 2 分钟
不需要密钥,不用安装程序 · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个
打开 Claude 的 Connectors 页面
CustomizeConnectors
点击“+ Add” → “Add custom connector”,填写这 2 项
把这里的内容复制到 Claude 中同名的输入框,然后点击 Continue
Name · 名称COTAL actions (cotal.ai)Remote MCP server URL · 地址https://cotal.ai/mcpAuthentication 保持 Claude 检测到的设置,然后点击 Add
在聊天中开启
+ConnectorsCOTAL actions (cotal.ai)
试一试
用 COTAL actions (cotal.ai) 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude 说正在使用 COTAL actions (cotal.ai),或回答中出现 COTAL actions (cotal.ai) 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
仅企业版 ChatGPT 可连接
适用于网页版 ChatGPT Business、Enterprise 或 Edu,需由工作区管理员或所有者添加 · 使用 Free、Plus 或 Pro:你的 ChatGPT 方案暂时无法自行连接 MCP
在网页版 ChatGPT 打开添加 MCP 的页面
Plugins+Add custom MCP server
填写名称和地址
输入名称,在 Connection 下粘贴地址,勾选风险提示,然后点击 Create as a plugin
Name · 名称COTAL actions (cotal.ai)Connection · 地址https://cotal.ai/mcp在聊天中选择 COTAL actions (cotal.ai)
开启新聊天,输入前先从插件列表中选择 COTAL actions (cotal.ai)
试一试
用 COTAL actions (cotal.ai) 告诉我你能帮我做什么,然后做一件给我看✓ 如果 ChatGPT 说正在使用 COTAL actions (cotal.ai),或回答中出现 COTAL actions (cotal.ai) 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 OpenAI 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Claude Code · 约 2 分钟
不需要密钥,不用安装程序
打开终端
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
粘贴这条命令并按 Enter
claude mcp add --transport http cotal https://cotal.ai/mcp在 Claude Code 中输入 /mcp
应能看到 COTAL actions (cotal.ai) 在列表中并显示已连接
试一试
用 COTAL actions (cotal.ai) 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude Code 说正在使用 COTAL actions (cotal.ai),或回答中出现 COTAL actions (cotal.ai) 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Cursor · 约 2 分钟
不需要密钥,不用安装程序
在 Cursor 中以 Agent 模式打开 AI 聊天
试一试
用 COTAL actions (cotal.ai) 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Cursor 说正在使用 COTAL actions (cotal.ai),或回答中出现 COTAL actions (cotal.ai) 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同
可连接 VS Code · 约 2 分钟
不需要密钥,不用安装程序
在 VS Code 中以 Agent 模式打开 AI 聊天
试一试
用 COTAL actions (cotal.ai) 告诉我你能帮我做什么,然后做一件给我看✓ 如果 VS Code 说正在使用 COTAL actions (cotal.ai),或回答中出现 COTAL actions (cotal.ai) 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同
其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看
通过网页连接的应用使用的地址
https://cotal.ai/mcpJSON 设置在下方“开发者专用”中
开发者专用:终端命令和 JSON 设置
通过网页连接
Claude Code
claude mcp add --transport http cotal https://cotal.ai/mcpCursor (~/.cursor/mcp.json)
{
"mcpServers": {
"cotal": {
"url": "https://cotal.ai/mcp"
}
}
}VS Code (mcp.json)
{
"servers": {
"cotal": {
"type": "http",
"url": "https://cotal.ai/mcp"
}
}
}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。
一览
哪些应用可以使用它
依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。
通过互联网连接,适用于
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
它能做什么
工具名称和描述与服务器在 2026年11月10日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。
cotal_submit_feedbackFiles feedback (bug, idea, friction, praise, other) with the Cotal team on behalf of the user. The same log the site's feedback widget writes to. Requires the user's email so the team can follow up.
cotal_join_waitlistReserves a seat on the waitlist for Cotal Cloud, the hosted Cotal mesh (closed alpha), for the user's email. Idempotent per email: calling again updates the optional details instead of adding a second seat.
cotal_subscribe_newsletterSubscribes the user's email to release updates from the Cotal team. Idempotent: an already-subscribed email is a no-op.
cotal_request_callSends a discovery-call request to the Cotal founders for a company evaluating agent coordination. The team replies by email. Requires the user's work email and company.
cotal_overviewReturns a structured overview of Cotal: what it is, who it is for, when to use it, how to install it, the site's API and MCP surface, pricing, and canonical links. Call this first when a user asks what cotal.ai does. Pass `section` to get one part only.
cotal_searchKeyword search over the Cotal build log (blog posts) and the key documentation and site pages. Returns ranked results with canonical and markdown URLs. Use it to find the page that answers a question before reading it.
cotal_list_postsLists posts from the Cotal build log (blog), newest first, with cursor pagination. Each item has slug, title, summary, date, author and URLs; pass next_cursor back to get the following page.
cotal_get_postReturns one build-log post as markdown (title, summary, date, author, full body) by its slug. Get slugs from cotal_list_posts or cotal_search.
cotal_draft_postStages a new article for the Cotal build log (cotal.ai/blog). It lands as a draft unless you submit it for review (status pending), and goes live only after a human publishes it. Returns the slug and a preview URL. Requires a team key on the connection.
cotal_update_postImproves an article staged with cotal_draft_post. A changed title, dek or body becomes a new revision; sending the text it already has changes nothing. Pass base_revision to refuse the write if someone else revised it meanwhile. A published post keeps its live text until a human
cotal_list_my_postsThe review state of the articles staged on this site : slug, title, status (draft, pending, published, rejected), review note and current revision. Requires a team key.
cotal_get_my_postOne staged article with every field, its current markdown and its revision history; pass revision for an older text. Requires a team key.
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11日
- ✓ 通过
作者与仓库一致
注册名称已通过域名 cotal.ai 验证(注册中心会核实域名所有权)
- ✓ 通过
仍在维护
代码最后更新于今天
- ✓ 通过
有许可证
使用 Apache-2.0
- ✓ 通过
端点有响应
在 200 毫秒内响应(HTTP 200)
- – 不适用
使用 OAuth 登录
无需登录
- ✓ 通过
工具描述中没有隐藏指令
已读取 12 个工具描述,未发现针对 AI 的隐藏指令
讨论
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
用户评价
还没有评价
与“搜索与 AI 记忆”中的其他服务器比较i
- 星标数多于此分类中其他 5921 个服务器的 99%
- 发布到注册中心的时间比此分类中其他 5921 个服务器的 38% 更新
- 基础检查结果等于或优于此分类中其他 5921 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
COTAL actions (cotal.ai) 安全吗?
它在 5 项适用的基础检查中通过了 5 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 仓库最后更新于今天,最新版本(1.1.0)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,因此也能用于支持远程 MCP 的应用,例如 ChatGPT Business 及以上方案。
有什么可以替代它?
同一分类中有:Ruflo, Context7, Metabase
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
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。
The open pub/sub standard for AI agents.
Connect agents across applications and machines.
Choose the topology that fits your team.
Live demo · Examples · Supported agents · FAQ
What is Cotal
Cotal lets AI agents and software services work together in a shared space, across applications and machines. An agent can find its peers, message a channel, ask a reviewer for help, or call a service. You choose who delegates to whom.
Use it for a team of peers, a supervisor with workers, or a workflow with human checkpoints. Agents can join from a laptop, a workstation or a remote host. Separate spaces keep projects and their permissions apart.
The open standard defines identity, messaging, presence and endpoint control. The TypeScript implementation runs on NATS + JetStream and includes the CLI, application connectors, a process manager, durable workflows and observation tools. Read the overview.
Quick start
curl -fsSL https://get.cotal.ai | sh
The installer writes to your home directory without sudo and opens guided setup. You can read the script first or preview it with | sh -s -- --dry-run.
On Windows, or with an existing Node 22.10+ installation:
npm install -g cotal-ai
cotal setup
Setup prepares a space, configures your chosen application and seeds a default persona. It asks separately whether to start. To prepare only, use cotal setup --configure-only. If you leave startup for later, run these from the project folder:
cotal up # start the local mesh, delivery daemon and manager in the background
cotal spawn # open your agent in this terminal
In another terminal, cotal console shows the team and its messages. Press Ctrl-P to open its command palette and launch another agent. You can also launch one directly with cotal spawn --detach. Ask either agent to introduce itself to its peers.
cotal down stops the local stack. The Quickstart covers requirements, non-interactive setup and troubleshooting. Prefer your coding agent to do the setup? Give it https://docs.cotal.ai/prompt.md.
The CLI sends usage telemetry by default. Disable it with cotal telemetry off. See what is sent.
Choose how to work
| You want to | Start here |
|---|---|
| Run agents locally or on another machine | Launch modes and manager selection |
| Connect a personal Claude Code session | Existing-session connection and approval |
| Join a hosted space | Sign in and select a space |
| Declare a team and its channel permissions | Team manifests |
| Coordinate work that waits, branches or resumes | Cotal Lang workflows |
| Connect a service or automate Cotal | API reference |
A personal-session connection needs a signed-in space with a supported approval flow. The approval explains its permissions and activity sharing. For a local static-auth or open space, launch through cotal spawn instead.
Supported agents
Claude Code plugin + native hooks
OpenCode in-process plugin
Codex app-server + TUI
Hermes gateway + plugin Jcode Harness API + TUI
pi native extension
The connectors expose mesh tools and deliver peer messages through each application's own mechanisms. Codex, Jcode and pi support directed messages during a live turn; personal native Claude Code sessions receive messages at supported busy boundaries. Resume, events and tool-sharing support differ by application. The connector matrix lists the details and maturity levels.
Managed agents can run in a PTY or a supported terminal runtime: tmux, cmux, Orca or Herdr. See runtimes for installation and availability.
Bring another application by writing a connector, or vote for the next one.
How it works
Each participant has an identity and reports its presence. Messages have three destinations:
- Multicast reaches the subscribers of a channel such as
#review. - Unicast addresses one peer directly.
- Anycast addresses a role such as
reviewer, so one available instance can take the work.
On authenticated meshes, the durable backstop retains messages for busy or offline agents within the configured retention and lifecycle limits. Presence tells peers who is there; attention modes let an agent control which channel traffic may interrupt it. A heartbeat reports liveness, not proof that a task is progressing.
The manager starts and stops processes. It does not sit between agents' messages or choose their work. Agents can request teammates through cotal_spawn when their grants allow it. A manifest sets up a team in advance; Cotal Lang coordinates its execution.
Architecture · Delivery · Channel permissions
Workflow runs
Cotal Lang is a small subset of JavaScript for coordinating work over a step journal. A program can launch agents, wait for replies and pause for a person. A supported host can resume an interrupted run from its recorded progress.
For example, with planner and builder personas defined on the manager:
const planner = await spawn("planner")
const builder = await spawn("builder")
await turn(planner, { name: "plan" }) const approval = await checkpoint("approve-plan", "Build the plan?", { timeout: "4h" }) if (approval.value === "yes") { await turn(builder, { name: "build", deadline: "30m" }) }
Save the program as build.cotal.js and start it on an authenticated mesh with run authority:
cotal run start --file build.cotal.js
cotal run # list recorded runs cotal run show # inspect progress and open questions cotal run answer --value '"yes"'
The runtime also supports concurrent branches, keyed submissions and authenticated cooperative cancellation. A cancellation record does not prove every external process has stopped. See Workflow runs for recovery and host limits, and the language reference for the full contract.
Services and integrations
Services publish command contracts that authorized callers can discover and invoke. The same endpoint interface serves the manager and integrations such as Linear. Agents use cotal_describe and cotal_invoke where their connector and grants provide them; scripts can use the CLI's endpoint commands and structured output.
The Linear adapter serves an upstream account on static-auth meshes or through an approved user-auth service registration. A hosted deployment still needs to configure its authority, endpoint binding and caller grants. Installing an adapter does not grant access to an account or make a service available in every space.
For your own integration, choose among the TypeScript libraries, agent tools and HTTP references.
Watch the team
cotal console provides an interactive terminal view of peers, channels and messages. Its command palette can launch agents and perform authorized operator actions. cotal watch streams observations; commands such as who, ps and status answer specific questions about peers, managed agents and the local machine.
The browser dashboard is a separately configured read-only service. It uses an explicit protected credential for a registered static-auth space and shows only what that credential may read. It does not mint its own access. Follow the dashboard setup before starting it.
Channel membership and live message flow.
The roster, channel messages and agents that need attention.
Identity and access
cotal up authenticates by default. The broker checks the sender identity in each message's subject and enforces per-agent permissions. Spaces use separate NATS accounts. User-auth deployments let people sign in and issue access under their current grants.
The broker, operator and admin credentia