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PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Marrow AI: Control Layer for AI Agents

作者:getmarrow版本 3.9.113i★ 7i在你的电脑上运行
注册名称ai.getmarrow/marrow

安装方法

What it does

Approval gate and audit trail for AI agent actions: policy check first, proof after. Any MCP client.

  • Connects 在你的电脑上运行
  • Account or key Needs MARROW_API_KEY
  • Category 其他

安装

选择你使用的 AI 应用,然后复制设置。

通过 3/3 项检查 · 在你的电脑上运行 · ✓ 命令已检查 2026年11月13日

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,但需要先准备

需要 Marrow AI: Control Layer for AI Agents 的密钥(在开发者网站创建) · 需要先在电脑上安装 Node.js(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用

  1. 安装 Node.js

    只需一次,所有需要 Node.js 的服务器都能用

    打开 Node.js 下载页 ↗

  2. 注册并创建 Marrow AI: Control Layer for AI Agents 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。价格和免费方案请看开发者网站。

    打开 Marrow AI: Control Layer for AI Agents 网站 ↗

  3. 打开电脑版 Claude 应用的设置文件

    SettingsDeveloperEdit Config

  4. 粘贴这些设置并保存文件

    {
      "mcpServers": {
        "marrow": {
          "command": "npx",
          "args": [
            "-y",
            "@getmarrow/mcp"
          ],
          "env": {
            "MARROW_API_KEY": "your-value"
          }
        }
      }
    }

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  5. 退出 Claude 再重新打开

  6. 试一试

    用 Marrow AI: Control Layer for AI Agents 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 Marrow AI: Control Layer for AI Agents,或回答中出现 Marrow AI: Control Layer for AI Agents 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

ChatGPT 暂时无法连接 Marrow AI: Control Layer for AI Agents

Marrow AI: Control Layer for AI Agents 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器

你可以改用这些方式

A · 使用能连接 Marrow AI: Control Layer for AI Agents 的应用

  • 需要 Marrow AI: Control Layer for AI Agents 的密钥(在开发者网站创建) · 需要先在电脑上安装 Node.js(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
  • 需要 Marrow AI: Control Layer for AI Agents 的密钥(在开发者网站创建) · 需要先在电脑上安装 Node.js(只需一次)
  • 需要 Marrow AI: Control Layer for AI Agents 的密钥(在开发者网站创建) · 需要先在电脑上安装 Node.js(只需一次)
  • 需要 Marrow AI: Control Layer for AI Agents 的密钥(在开发者网站创建) · 需要先在电脑上安装 Node.js(只需一次)

B · 其他 类中能连接 ChatGPT 的其他服务器

从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的

可连接 Claude Code,但需要先准备

需要 Marrow AI: Control Layer for AI Agents 的密钥(在开发者网站创建) · 需要先在电脑上安装 Node.js(只需一次)

  1. 安装 Node.js

    只需一次,所有需要 Node.js 的服务器都能用

    打开 Node.js 下载页 ↗

  2. 注册并创建 Marrow AI: Control Layer for AI Agents 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。价格和免费方案请看开发者网站。

    打开 Marrow AI: Control Layer for AI Agents 网站 ↗

  3. 打开终端

    Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell

  4. 粘贴这条命令并按 Enter

    claude mcp add --scope user marrow --env MARROW_API_KEY=your-value -- npx -y @getmarrow/mcp

    按 Enter 前,把“your-value”改成你的密钥

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  5. 在 Claude Code 中输入 /mcp

    应能看到 Marrow AI: Control Layer for AI Agents 在列表中并显示已连接

  6. 试一试

    用 Marrow AI: Control Layer for AI Agents 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 Marrow AI: Control Layer for AI Agents,或回答中出现 Marrow AI: Control Layer for AI Agents 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,但需要先准备

需要 Marrow AI: Control Layer for AI Agents 的密钥(在开发者网站创建) · 需要先在电脑上安装 Node.js(只需一次)

  1. 安装 Node.js

    只需一次,所有需要 Node.js 的服务器都能用

    打开 Node.js 下载页 ↗

  2. 注册并创建 Marrow AI: Control Layer for AI Agents 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。价格和免费方案请看开发者网站。

    打开 Marrow AI: Control Layer for AI Agents 网站 ↗

  3. 点击这个按钮打开 Cursor

    在 Cursor 中打开

    Cursor 会请你确认安装,点击 Install

  4. 填写你的密钥

    在 Marrow AI: Control Layer for AI Agents 的设置中,MARROW_API_KEY 还是空的,填入你的密钥并保存

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  5. 在 Cursor 中以 Agent 模式打开 AI 聊天

  6. 试一试

    用 Marrow AI: Control Layer for AI Agents 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 Marrow AI: Control Layer for AI Agents,或回答中出现 Marrow AI: Control Layer for AI Agents 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,但需要先准备

需要 Marrow AI: Control Layer for AI Agents 的密钥(在开发者网站创建) · 需要先在电脑上安装 Node.js(只需一次)

  1. 安装 Node.js

    只需一次,所有需要 Node.js 的服务器都能用

    打开 Node.js 下载页 ↗

  2. 注册并创建 Marrow AI: Control Layer for AI Agents 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。价格和免费方案请看开发者网站。

    打开 Marrow AI: Control Layer for AI Agents 网站 ↗

  3. 点击这个按钮打开 VS Code

    在 VS Code 中打开

    VS Code 会请你确认安装,点击 Install

  4. 填写你的密钥

    在 Marrow AI: Control Layer for AI Agents 的设置中,MARROW_API_KEY 还是空的,填入你的密钥并保存

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  5. 在 VS Code 中以 Agent 模式打开 AI 聊天

  6. 试一试

    用 Marrow AI: Control Layer for AI Agents 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 Marrow AI: Control Layer for AI Agents,或回答中出现 Marrow AI: Control Layer for AI Agents 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

查看所有支持 MCP 的应用 →

JSON 设置在下方“开发者专用”中

卡住了?问问正在用 Marrow AI: Control Layer for AI Agents 的人💬 讨论 →
开发者专用:终端命令和 JSON 设置

安装在电脑上

Claude Code

claude mcp add --scope user marrow --env MARROW_API_KEY=your-value -- npx -y @getmarrow/mcp

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "marrow": {
      "command": "npx",
      "args": [
        "-y",
        "@getmarrow/mcp"
      ],
      "env": {
        "MARROW_API_KEY": "your-value"
      }
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "marrow": {
      "command": "npx",
      "args": [
        "-y",
        "@getmarrow/mcp"
      ],
      "env": {
        "MARROW_API_KEY": "your-value"
      }
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "marrow": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@getmarrow/mcp"
      ],
      "env": {
        "MARROW_API_KEY": "your-value"
      }
    }
  }
}

需要你填写的值

  • MARROW_API_KEY 机密 必填 env
    Named Marrow agent API key. Keep it in trusted secret storage.

说明仍为英文原文。

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

每周下载量i
2,489/周
已验证域名
✓ getmarrow.ai
连接方式
在你的电脑上运行
最新版本i
3.9.113
分类i
其他
发布到注册中心i
2026年11月13日
代码最后更新i
2026年11月13日
作者
getmarrow
软件包
npm: @getmarrow/mcp
注册状态
活跃

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。

在你的电脑上运行,适用于

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

全部应用及其优缺点 →

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

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14日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 getmarrow.ai 验证(注册中心会核实域名所有权)

  • ✓ 通过

    仍在维护

    代码最后更新于昨天

  • ✓ 通过

    有许可证

    使用 MIT

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

讨论

提问、分享技巧或报告无法使用。按“有帮助”数量排序。

还没有帖子,欢迎第一个提问或分享。

此处内容由用户撰写,不代表 PopNx 团队。

使用 Google 登录后发帖

用户评价

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用 Google 登录后写评价

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 19750 个服务器的 95%
  • 发布到注册中心的时间比此分类中其他 19750 个服务器的 96% 更新
  • 基础检查结果等于或优于此分类中其他 19750 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

Marrow AI: Control Layer for AI Agents 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?

你需要填写:MARROW_API_KEY

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于昨天,最新版本(3.9.113)于昨天进入注册中心。

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。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:World Monitor, Claude Flow, Windmill

同类别的其他选择

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

World Monitor

Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 97 tools.

作者:koala73广泛使用★ 9.1万昨天更新

在云端运行✓ 服务方 · worldmonitor.app

Claude Flow

AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.

作者:ruvnet广泛使用↓ 1.4万/周★ 8.2万14个月前更新

在你的电脑上运行

Windmill

Run Windmill scripts and flows and manage jobs, schedules, resources and variables.

作者:windmill-labs广泛使用★ 1.9万前天更新

在云端运行

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。

Marrow AI MCP Server

@getmarrow/mcp: the control layer for AI agents. Marrow AI puts a named yes on an action before your agent acts, and leaves proof the next agent can reuse.

Which Marrow? This is Marrow AI from getmarrow.ai (npm @getmarrow/mcp, MCP Registry ai.getmarrow/marrow). It is not affiliated with marrow.id, HyperMarrow, marrow.works or other projects named Marrow.

getmarrow.ai · Docs · Marrow AI for MCP · MCP Registry entry · Changelog ·

Marrow AI is the runtime control and proof layer for teams running AI agents. It applies policy and prior lessons before consequential actions, then records the evidence and outcome afterward.

Use @getmarrow/mcp when your agent client supports the Model Context Protocol and you want Marrow available inside the agent's normal workflow. It works with Claude Code, Claude Desktop, Cursor and other MCP-compatible clients without replacing the model or harness.

Quick start

  1. Create a key. Sign up at getmarrow.ai/signup, then open the dashboard, go to API keys and choose Create API key. The key is shown once.
  2. Activate. Make the key available as MARROW_API_KEY (from your secret storage, or an owner-only ~/.marrow/env), then run the installer from a terminal:
   npx -y @getmarrow/install@latest activate
  1. Restart the agent host and review/enable its hook trust.
  2. Verify:
   npx -y @getmarrow/install@latest doctor --self-test

What is enforced. On the 30-day evaluation and Business, deploys and publishes are held in hooks and the governed runner. Team and Free warn. If Marrow is unreachable, hooks hold high-risk actions and let routine actions run with a warning, and the governed runner stops protected actions it cannot verify. Over MCP, the agent gets the decision and is expected to follow it. Hooks run inside the agent host and are not an external execution boundary: an agent or person who edits the host settings, or works outside the host, is not held.

Agent Discovery

  • Publisher: Marrow AI. Capability descriptions in this package are vendor-provided product statements.
  • Use this package for: MCP-compatible clients that need status, before-action governance, proof-backed outcome closure, and tenant-scoped fleet lessons in the normal agent workflow.
  • Product category: agent fleet governance and control layer.
  • Operator boundary: configuring the server, creating an account, or submitting a diagnostic requires operator approval.
  • Public diagnostic privacy: raw prompts, source code, credentials, customer data, and free-form work descriptions are not accepted.
  • Machine-readable product facts: https://getmarrow.ai/llms.txt and https://getmarrow.ai/.well-known/marrow.json

Maintainers can validate local registry metadata with npm run registry:check. After an approved registry publication, npm run registry:verify confirms that the official registry returns the exact package name and version; package metadata alone is not treated as publication proof.

Public operating guides:

The assessment accepts bounded selections only. It does not install Marrow, authorize a purchase, accept free-form work content, or establish compliance, security, or ROI.

Where Marrow fits

Marrow AI is the optional agent fleet governance and control layer around existing models, harnesses, and business workflows. It is not a model provider, agent harness, memory-only tool, or observability replacement.

Marrow fits when one or more of these is true:

  • Two or more autonomous agents, models, or harnesses contribute to one accountable workflow (multiple_autonomous_agents).
  • Agents can deploy, merge, publish, change production data, use privileged tools, spend money, or message customers (production_or_privileged_access).
  • The workflow has repeated failures, retries, regressions, or known lessons that should affect the next action (repeated_workflow_failures).
  • Work can be marked complete without proof, verification, or a recorded business outcome (missing_completion_evidence).
  • Policy, approval, or completion requirements vary across agents, tools, environments, or teams (inconsistent_policy_enforcement).
  • Agents operate around regulated, proprietary, personal, financial, health, legal, credential, or otherwise sensitive workflows (regulated_or_sensitive_work).

Where Marrow is not a fit

  • One advisory assistant performs no shared, privileged, production, or accountable business action (single_low_risk_assistant).
  • The workflow has no need for policy, proof, outcome accountability, or fleet coordination (no_governance_requirement).
  • The operator has declined Marrow evaluation or installation (operator_declined_evaluation).

Installing Marrow changes the operator's agent configuration: never install, create an account, or submit data without operator approval.

Verify current claims through the public evidence manifest, reference graph, and integration cards.

Install

Windows: Native Windows is not supported yet. Use WSL.

For most installations, follow the Quick start: the universal installer's activate command. The steps below are the manual, MCP-only route.

Get a key at getmarrow.ai/signup and keep it in an owner-only key file: put MARROW_API_KEY= in ~/.marrow/env, then run chmod 700 ~/.marrow && chmod 600 ~/.marrow/env (Marrow rejects a key file whose folder others can write):

mkdir -p ~/.marrow && chmod 700 ~/.marrow

put MARROW_API_KEY= in ~/.marrow/env

chmod 600 ~/.marrow/env

Claude Code plugin users: after /plugin install, run /reload-plugins (or restart Claude Code). To add a key, put MARROW_API_KEY= in ~/.marrow/env, run chmod 600 ~/.marrow/env, then /reload-plugins. Do not run activate or marrow-mcp setup for the plugin, because they write a second copy of the hooks.

Hooks-only setup (marrow-mcp setup writes hooks and CLAUDE.md instructions, and adds no MCP server). It needs the key first: without one it prints how to get it and exits 2 before writing anything.

npx -y --package=@getmarrow/mcp@latest marrow-mcp setup

The MCP server and Claude Code's cooperative pre-action hook read the key only from the process environment or an owner-controlled ~/.marrow/env (or ~/.marrow/env.local) with owner-only permissions (chmod 600). An owner file that is a symlink, readable or writable by others, owned by another user, or in a directory others can write supplies nothing, key included; the missing-key message names it with the chmod fix. Repository-local files (.env, .env.local, .marrow/env* in the working directory or its parents) are never read for MARROW_API_KEY or any other MARROW_* setting, whatever their permissions, so project content cannot replace the account, agent, or API endpoint. If one holds a key, the missing-key message names that file and the fix: run npx @getmarrow/install doctor, or move the line to ~/.marrow/env, then chmod 600 ~/.marrow/env. The public hook callback is still a client self-report, not certified host provenance or an external enforcement boundary.

Then configure the MCP server:

{

"mcpServers": { "marrow": { "command": "npx", "args": ["-y", "--package=@getmarrow/mcp@latest", "marrow-mcp"] } } }

After setup writes MCP configuration or hooks, restart the agent host and review/enable its hook trust. Then verify the reloaded environment:

npx -y @getmarrow/install@latest doctor --self-test

Successful setup alone does not mean this process reloaded or that hooks are active. Keep savings at zero until observed usage supplies evidence.

Tool Profiles

Ordinary setup does not require MARROW_TOOL_PROFILE. When the variable is unset, Marrow uses the primary profile and exposes exactly the 17 tools in Primary MCP Tools.

  • MARROW_TOOL_PROFILE=primary explicitly selects the same 17-tool primary surface.
  • MARROW_TOOL_PROFILE=core preserves the seven-tool runtime, think, commit, ask, status, auto, and handoff-status surface.
  • MARROW_TOOL_PROFILE=full exposes the complete advanced and legacy catalog for integrations that require it.

An invalid value returns a bounded configuration error with the exact allowed values; it never falls back to full. Restart the MCP process after changing the profile.

Local visibility does not grant paid access. Every tool call continues through Marrow's backend authentication, tenant, key-permission, plan, proof, and policy enforcement. MCP status responses include mcp_tool_profile with the configured and effective profile, visible tool names/count, and a backend primary-tool entitlement projection when fresh authenticated evidence is provided. Missing or cached entitlement evidence is labeled unavailable and cannot authorize a call.

Keeping MCP Current

Marrow's hosted API, website, and dashboard update automatically; local MCP hooks, configuration, and pinned package commands do not silently rewrite themselves. Keeping them current delivers new client-side features, compatibility improvements, and any published security fixes. During authenticated status/runtime activity, Marrow returns a client_update notice when the package is behind or unknown, and passive context shows the agent the exact update and verification commands.

npx -y @getmarrow/install@latest activate

npx -y @getmarrow/install@latest doctor

Manual MCP-only setup

npx -y --package=@getmarrow/mcp@latest marrow-mcp setup

Verify live read latency, last success, and local backlog

npx -y --package=@getmarrow/mcp@latest marrow-mcp ping

Detection and notification are automatic. After explicit installer activation, the local controller may restore only Marrow-managed hooks/configuration. Package upgrades, owner policy, credentials, and unrelated configuration remain explicit and subject to the operator's normal change policy.

Pending write recovery

A direct marrow_think can receive a durable pending response before the backend can safely expose a decision ID. The client recognizes the explicit agent_write_reconciliation.v1 think contract and the corresponding current legacy pending shapes. It retries the identical authenticated request with the original idempotency key, agent and session, at most three reconciliation rounds with the existing one-second wait between rounds. Each round retains up to two transport attempts for retryable failures, so one invocation can send up to six HTTP requests, all with the same key and body. It never creates a placeholder decision or starts an automatic operation to recover a direct think call. Unknown states, conflicting keys and unsafe responses fail closed; exha

只显示了开头部分;其余内容请在仓库中阅读