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.
Pick the AI app you use, then copy the settings.
Passed 3/3 checks · Runs on your computer
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
One time only; it works for every server that needs Python (uv)
SettingsDeveloperEdit Config
{
"mcpServers": {
"write-gate": {
"command": "uvx",
"args": [
"mcp-write-gate",
"serve"
]
}
}
}Use MCP Write Gate and tell me what you can do for me, then show me one thing✓ If Claude says it is using MCP Write Gate or shows a MCP Write Gate tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect MCP Write Gate yet
MCP Write Gate runs on your computer, but ChatGPT can only connect servers that run on the web
A · Use an app that can connect MCP Write Gate
B · Others in Other that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
Works with Claude Code, with some setup first
Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Mac: press Command+Space and type Terminal · Windows: open PowerShell
claude mcp add --scope user write-gate -- uvx mcp-write-gate serveYou should see MCP Write Gate listed as connected
Use MCP Write Gate and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using MCP Write Gate or shows a MCP Write Gate tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
Install Python (uv) on your computer first (one time) · No one-click button: paste the settings and fill in the values yourself
One time only; it works for every server that needs Python (uv)
~/.cursor/mcp.json
Paste these settings, fill in the empty values and save
{
"mcpServers": {
"write-gate": {
"command": "uvx",
"args": [
"mcp-write-gate",
"serve"
]
}
}
}Use MCP Write Gate and tell me what you can do for me, then show me one thing✓ If Cursor says it is using MCP Write Gate or shows a MCP Write Gate tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code, with some setup first
Install Python (uv) on your computer first (one time) · No one-click button: paste the settings and fill in the values yourself
One time only; it works for every server that needs Python (uv)
MCP: Open User Configuration
Paste these settings, fill in the empty values and save
{
"servers": {
"write-gate": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-write-gate",
"serve"
]
}
}
}Use MCP Write Gate and tell me what you can do for me, then show me one thing✓ If VS Code says it is using MCP Write Gate or shows a MCP Write Gate tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.
JSON settings are under “For developers” below
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"
]
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 12, 2026
The registry name was verified with the GitHub account goran-revops, which owns the repo
Code last changed 2 months ago
Uses MIT
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
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Posts here are written by users, not the PopNx team.
No reviews yet
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed 2 months ago, and the latest version (0.2.0) reached the registry 2 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: World Monitor, Claude Flow, Windmill
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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