AI Execution Security Layer
The Execution Security Layer for the Agentic Era. Providing deterministic 'Sudo' governance and audit logs for autonomous AI agents.
What is AI Execution Security Layer?
AI Execution Security Layer is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to execution security layer for the agentic era. providing deterministic 'sudo' governance and audit logs for autonomous ai agents.
The Execution Security Layer for the Agentic Era. Providing deterministic 'Sudo' governance and audit logs for autonomous AI agents.
This server falls under the Security category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- The Execution Security Layer for the Agentic Era. Providing
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx node9-proxyConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use AI Execution Security Layer
Node9-Proxy is an execution security layer for AI agents that acts as a transparent gateway in front of MCP servers, enforcing deterministic permission policies and generating tamper-evident audit logs for every tool call. It supports Claude Code, Gemini CLI, Cursor, Windsurf, GitHub Copilot CLI, and any MCP-compatible agent, providing 'sudo'-style governance so teams can let agents run autonomously without sacrificing visibility or control. Security and compliance teams use it to define shield rule packs that block destructive operations like credential access, `rm -rf`, or unauthorized database mutations.
Prerequisites
- Node.js 18+ installed
- Homebrew (macOS/Linux) or npm for installation
- An existing MCP server or AI agent to proxy
- An MCP-compatible client (Claude Code, Gemini CLI, Cursor, etc.)
Install Node9
Install Node9 via Homebrew on macOS/Linux, or via npm for cross-platform use.
# macOS / Linux
brew tap node9-ai/node9 && brew install node9
# Any platform
npm install -g node9-aiInitialize Node9 in your project
Run `node9 init` to auto-detect your installed agents and MCP servers, wiring them through the Node9 proxy automatically.
node9 initValidate the configuration
Use the doctor command to confirm Node9 is correctly wired to your agents and MCP servers before activating it.
node9 doctorEnable security shields for your threat model
Activate rule packs to block specific categories of dangerous operations. Multiple shields can be enabled simultaneously.
node9 shield enable project-jail # Block credential/SSH file access
node9 shield enable bash-safe # Prevent curl|bash, rm -rf patterns
node9 shield enable postgres # Block destructive SQL commands
node9 shield enable aws # Restrict S3/EC2/IAM mutations
node9 shield list # View all available shieldsConfigure an MCP server to run through Node9
Wrap any upstream MCP server by adding a Node9 gateway entry in your claude_desktop_config.json. Node9 intercepts all tool calls before they reach the upstream server.
{
"mcpServers": {
"postgres": {
"command": "node9",
"args": ["mcp", "--upstream", "npx -y @modelcontextprotocol/server-postgres postgresql://localhost/mydb"]
}
}
}Monitor agent activity in real time
Use the monitor dashboard or tail command to watch live tool calls, then review historical sessions and costs.
node9 monitor # Interactive real-time dashboard
node9 tail # Live text stream of tool calls
node9 sessions # Historical session review with costs
node9 report --period 7d # Weekly summary reportAI Execution Security Layer Examples
Client configuration
Wrap an existing MCP server (e.g. postgres) through Node9 proxy in Claude Desktop
{
"mcpServers": {
"postgres-secured": {
"command": "node9",
"args": ["mcp", "--upstream", "npx -y @modelcontextprotocol/server-postgres postgresql://localhost/mydb"]
}
}
}Prompts to try
These prompts test the agent while Node9 governs the execution and logs every call
- "Query the database for the top 10 most recent orders"
- "Show me which files the agent has access to in this project"
- "Generate a report of all tool calls made in the last 7 days"Troubleshooting AI Execution Security Layer
node9 init does not detect my agent or MCP server
Ensure the agent CLI (e.g. `claude`, `gemini`) is on your PATH before running `node9 init`. Run `node9 doctor` afterward to see what was and was not detected.
Shield blocks a legitimate operation my agent needs
Run `node9 shield list` to see active shields, then disable the specific shield with `node9 shield disable <name>` or adjust the shield policy file to allowlist specific commands.
Upstream MCP server fails to connect through the proxy
Test the upstream server command directly in your terminal first to confirm it works standalone. Ensure the full upstream command string passed to `--upstream` is properly quoted and the server binary is on PATH.
Frequently Asked Questions about AI Execution Security Layer
What is AI Execution Security Layer?
AI Execution Security Layer is a Model Context Protocol (MCP) server that execution security layer for the agentic era. providing deterministic 'sudo' governance and audit logs for autonomous ai agents. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install AI Execution Security Layer?
Follow the installation instructions on the AI Execution Security Layer GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with AI Execution Security Layer?
AI Execution Security Layer works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is AI Execution Security Layer free to use?
Yes, AI Execution Security Layer is open source and available under the NOASSERTION license. You can use it freely in both personal and commercial projects.
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