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Cordon for MCP server

by marras0914·io.github.marras0914/cordon·v0.3.0·1 stars

Cordon for MCP. Security gateway with policy enforcement, audit log, and HITL approvals.

A88/100grade A
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Safety scan
A88/100

full report

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Growing

1 stars42 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Cordon for MCP tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan4 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 61 days ago12/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 88/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

Install Cordon for MCP in Claude Code, Cursor or VS Code

Runs npx -y @getcordon/cli on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add cordon -- npx -y @getcordon/cli
Add to Cursor

What the publisher says

From the Cordon for MCP repository's README, as published. We do not edit it. Read it on GitHub

Cordon for MCP

The Security Gateway for MCP Tool Calls

Website • Writeup

Quickstart • Why Cordon • How It Works • Configuration • Roadmap • Contributing

Every company wants to deploy AI agents. No company is willing to give an agent the keys to their database.

Cordon closes the trust gap.

From the maintainer of Agent Toolbelt — 25+ MCP tools, ~1,600 weekly npm downloads.

Demo

https://github.com/user-attachments/assets/153d978f-6303-443a-b49b-b4ec7ebf0452

The Problem

The Model Context Protocol (MCP) has made it trivially easy to give AI agents access to powerful tools — databases, file systems, APIs, cloud infrastructure.

But MCP has no built-in security model. No audit logs. No approval workflows. No rate limits. Today, an AI agent is either off or full admin. There is nothing in between.

This is the single biggest blocker preventing AI agents from reaching production.

The Solution

Cordon is the security gateway that sits between the LLM and your MCP servers.

It acts as a firewall, an auditor, and a remote control — giving you complete visibility and authority over what your AI agents can and cannot do.

┌─────────┐      ┌──────────┐      ┌──────────────┐
│  LLM /  │ ──▶  │  Cordon  │ ──▶  │  MCP Server  │
│  Agent  │ ◀──  │ Gateway  │ ◀──  │  (database,  │
└─────────┘      └──────────┘      │   fs, APIs)  │
                   │               └──────────────┘
                   ├── Policy Engine
                   ├── Audit Logger
                   └── Approval Workflows

No infrastructure changes. No rewrites. One config file.

Quickstart

Step 1 — Initialize

Run this inside your project (where your claudedesktopconfig.json exists):

npx @getcordon/cli init

This reads your existing Claude Desktop MCP config, generates cordon.config.ts, and patches Claude Desktop to route all tool calls through Cordon.

Step 2 — Start

npx @getcordon/cli start

Cordon starts, connects to your MCP servers, and begins intercepting tool calls. Restart Claude Desktop and every tool call now flows through the gateway.

Manual setup

If you prefer to configure manually, install globally and create a config:

npm install -g @getcordon/cli
cordon init

cordon init generates a cordon.config.ts:

import { defineConfig } from '@getcordon/policy';

export default defineConfig({
  servers: [
    {
      name: 'database',
      transport: 'stdio',
      command: 'npx',
      args: ['-y', '@my-org/db-mcp-server'],
      policy: 'read-only',        // Block all write operations
    },
    {
      name: 'github',
      transport: 'stdio',
      command: 'npx',
      args: ['-y', '@modelcontextprotocol/server-github'],
      policy: 'approve-writes',   // Reads pass; writes require approval
      tools: {
        delete_branch: 'block',   // Never, regardless of approval
      },
    },
  ],

  audit: {
    enabled: true,
    output: 'stdout',             // or 'file'
  },

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Cordon for MCP: common questions

Is Cordon for MCP server safe?
Yes, by our scan: it is graded A (88/100). Read the Cordon for MCP safety report
How do I install Cordon for MCP?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Cordon for MCP need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Cordon for MCP maintained?
The last commit was 62 days ago (2026-07-28). The latest release is v0.3.0.
What can I use instead of Cordon for MCP?
Servers from other publishers that do the same job: Wireshark MCP server, Mastyf AI MCP server and npm Registry MCP Server. Compare all Cordon for MCP alternatives.

Alternatives to Cordon for MCP

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