World Monitor
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 104 tools.
Sits in front of any MCP server. Reads pass, writes are checked against your lists.
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
需要先在电脑上安装 Python (uv)(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
SettingsDeveloperEdit Config
{
"mcpServers": {
"write-gate": {
"command": "uvx",
"args": [
"mcp-write-gate",
"serve"
]
}
}
}用 MCP Write Gate 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 MCP Write Gate,或回答中出现 MCP Write Gate 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 MCP Write Gate
MCP Write Gate 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
A · 使用能连接 MCP Write Gate 的应用
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
需要先在电脑上安装 Python (uv)(只需一次)
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
claude mcp add --scope user write-gate -- uvx mcp-write-gate serve应能看到 MCP Write Gate 在列表中并显示已连接
用 MCP Write Gate 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 MCP Write Gate,或回答中出现 MCP Write Gate 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
需要先在电脑上安装 Python (uv)(只需一次) · 没有一键按钮,需要粘贴设置并自行填写
~/.cursor/mcp.json
粘贴这些设置,填写空着的值并保存
{
"mcpServers": {
"write-gate": {
"command": "uvx",
"args": [
"mcp-write-gate",
"serve"
]
}
}
}用 MCP Write Gate 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 MCP Write Gate,或回答中出现 MCP Write Gate 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
需要先在电脑上安装 Python (uv)(只需一次) · 没有一键按钮,需要粘贴设置并自行填写
MCP: Open User Configuration
粘贴这些设置,填写空着的值并保存
{
"servers": {
"write-gate": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-write-gate",
"serve"
]
}
}
}用 MCP Write Gate 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 MCP Write Gate,或回答中出现 MCP Write Gate 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
Claude Code
claude mcp add --scope user write-gate -- uvx mcp-write-gate serveClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"write-gate": {
"command": "uvx",
"args": [
"mcp-write-gate",
"serve"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"write-gate": {
"command": "uvx",
"args": [
"mcp-write-gate",
"serve"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"write-gate": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-write-gate",
"serve"
]
}
}
}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。
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
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。
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13日
注册名称已通过 GitHub 账户 goran-revops 验证,该账户拥有此仓库
代码最后更新于2个月前
使用 MIT
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
还没有评价
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。
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。
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)。
GitHub 仓库最后更新于2个月前,最新版本(0.2.0)于2个月前进入注册中心。
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 Python (uv)。
同一分类中有:World Monitor, Claude Flow, Windmill
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
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 104 tools.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
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。
mcp-write-gate sits between an AI agent and the tools it uses through MCP, such as email, a CRM, Smartlead, or Slack. The agent can read freely, but every write is checked before it goes out, and anything aimed at a customer, an open deal, or anyone else on your lists is refused before it reaches the tool.
I built it for GTM and ops teams who connect an agent like Claude Code to their real systems and want a rule the agent cannot argue its way around. The most common setup is read-only mode: you connect Smartlead, HubSpot, or Salesforce with a full-scope API key, and the agent can look at everything but change nothing.
+---------------+ +------------------+ +-------------------+
| AI agent | tool call | mcp-write-gate | allowed calls | Real MCP server | | (Claude Code, | ------------> | | ---------------> | (HubSpot, Gmail, | | Cursor, ...) | <------------ | | <--------------- | Smartlead, ...) | +---------------+ the result, +--------+---------+ results +-------------------+ or why it | was refused v +-----------------------------+ | read -> forward | | write, safe -> forward | | write, listed -> refuse | | write, unsure -> hold | | read-only -> refuse | | every call -> log | +-----------------------------+
The agent connects to mcp-write-gate instead of the real server and sees the same tools, with the same names and inputs. When it calls one, the gate decides what happens. A read goes straight through. A write is checked against your lists, and if it touches a customer, an open deal, or anyone marked do not contact, it is refused and the agent is told why. Nothing reaches the tool. A write to someone who is on no list goes through by default, or waits for a person to approve it if you prefer. You can also cap how often one person is contacted, for example one email per week, and on a read-only server every write is refused no matter what the key allows.
The agent never holds the real API key. The key stays in the gate's own folder, and the gate strips it from anything the server sends back. Every call, allowed or refused, goes into a log that shows if anyone edits it later.
You need Python 3.10 or newer.
pip install mcp-write-gate
mcp-write-gate init mcp-write-gate add mail -- npx -y your-mail-mcp-server
init creates the gate folder in your user folder, away from your projects. It holds gate.json with the rules and the servers, a starter list in lists/off-limits.csv, keys.env for the real servers' API keys, and the log.
add starts the real server once, reads its tools, and guesses which ones read and which ones write. It prints each guess along with a block for your agent's MCP config. Look over the guesses, then paste that block where the real server's entry used to be. In Claude Code it is one command:
claude mcp add mail -- mcp-write-gate serve mail --config "<gate folder>/gate.json"
Remote servers are added by URL, with their keys kept in keys.env and referred to as ${NAME}. A server that uses OAuth needs one sign-in by a person, and after that the gate refreshes the tokens itself:
mcp-write-gate add crm --url https://mcp.example.com/mcp --header 'Authorization: Bearer ${CRM_TOKEN}'
mcp-write-gate add crm --url https://mcp.example.com/mcp --oauth mcp-write-gate login crm
Before you rely on a rule, you can test it without sending anything:
mcp-write-gate check mail send_email --args '{"to": ["ceo@example.com"]}'
mcp-write-gate add smartlead --preset read-only --url 'https://mcp.smartlead.ai/sse?user_api_key=${SMARTLEAD_KEY}'
mcp-write-gate reads smartlead mcp-write-gate confirm smartlead get_campaigns get_campaign_stats
In read-only mode every write is refused, and no list, mode, or approval can change that. A read passes only when it is vouched for, either because the server marks the tool as read-only and its name reads like a read, or because a person confirmed it with mcp-write-gate confirm. mcp-write-gate reads lists every read and who vouched for it.
The gate does not take the server's word for everything. A tool called delete_campaign that the server labels read-only is still treated as a write. If the server changes a tool after you confirmed it, the tool is refused until you confirm it again. A read that tries to change something through its arguments, such as an HTTP DELETE, a SQL statement that writes, or a GraphQL mutation, is refused as well.
That makes it safe to put a full-scope key behind the gate, as long as four things hold:
call_api or run_query need extra care, because a vendor API that deletes on a GET looks like a read.Lists are plain CSV, TXT, or JSON files in the lists/ folder, so you can export them from your CRM or keep them by hand. Every file is read, and a change takes effect on the next call.
target,status,note
example.com,customer,paying account ceo@example.org,open_deal,in a live deal partner@example.com,allow,partner contact inside a customer #sales-internal,blocked,chat channel the agent must not post in */contracts/*,blocked,signed contracts stay untouched
A domain covers all its subdomains, and an email row also covers the same mailbox written with a +tag or with Gmail's dots. When two rows match, the more specific one wins, which is how partner@example.com,allow can sit inside a customer's domain. A status the gate does not recognize counts as a refusal, so a typo cannot open the gate. If the truth lives in your CRM instead of a file, the gate can run a lookup command for anything that is on no list, as described in docs/configuration.md.
| Server | What was tested |
|---|---|
| Smartlead | All 170 tools sorted into reads and writes. Replying to a lead, starting a campaign, and forwarding an email were refused and never sent, confirmed reads passed through, and the API key never reached the agent. |
| HubSpot | Reads passed through to HubSpot. Creating records and logging engagements were refused and never sent. |
| Gmail | All 23 tools sorted. Drafts, labels, spam, and trash are treated as writes. |
| Salesforce | All 74 tools sorted. Deploys, permission changes, and Apex tests are writes, and queries are reads. |
| Notion | All 24 tools sorted. Creating, editing, moving, and deleting pages are writes, and retrieving is a read. |
| MCP filesystem and everything servers | File paths as targets, resources, prompts, completions, and long-running calls. |
I also ran it with Claude Code as the agent. Without the gate, Claude sent the email it was asked to send. With the gate in read-only mode, the email was never sent, and the log showed the refusal.
The gate checks who and what a call touches, not what a message says, so a customer's name in the body of an email to someone else is not caught. It cannot see targets hidden in encrypted payloads, custom binary formats, or a bare record id like contact 123. For ids you can add a lookup command, and for the rest you can set that tool to refuse anyone who is not on a list. It cannot stop an agent that runs code as the same OS user as the gate, which is why the Dockerfile runs the gate in its own container. And it only controls what the agent sends to a server, so put only servers you trust behind it.
docs/configuration.md covers every setting in gate.json: targets, presets, rate limits, the lookup command, held calls and the approval page, serving over HTTP, and the full command list. docs/security.md explains how to keep the gate out of the agent's reach, where the secrets live, how the log shows tampering, and what the attack tests cover.
pip install -e ".[dev]"
pytest
The tests start a real MCP server behind the gate and talk to it with the official MCP client, over stdio and over HTTP.
MIT