Official Check Point ERM MCP Server - AI access to Argos threat intelligence via natural language
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Transform your AI assistant into an intelligent cybersecurity analyst with direct access to Cyberint's Argos threat intelligence platform through the Model Context Protocol (MCP).
What you can do:
Before installing, ensure you have:
Docker installed on your system (Install Docker)
Argos API Credentials:
MCP-compatible AI assistant (Claude Desktop, VS Code Copilot, etc.)
The MCP server supports three transport protocols. Choose the one that matches your integration needs:
Best for: Claude Desktop, VS Code, and most desktop AI assistants.
Claude Desktop Configuration:
Edit or create claude_desktop_config.json:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\\Claude\\claude_desktop_config.json
{
"mcpServers": {
"argos-erm-mcp": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-e", "ARGOS_INTEGRATION_TOKEN",
"-e", "ARGOS_SERVER_URL",
"-e", "ARGOS_CUSTOMER_ID",
"checkpoint/argos-erm-mcp:latest"
],
"env": {
"ARGOS_INTEGRATION_TOKEN": "your_api_token_here",
"ARGOS_SERVER_URL": "your_server_url",
"ARGOS_CUSTOMER_ID": "your_customer_id_here"
}
}
}
}
Best for: Web-based AI integrations or when HTTP endpoints are required.
{
"mcpServers": {
"argos-erm-mcp": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-p", "8001:8001",
"-e", "ARGOS_INTEGRATION_TOKEN",
"-e", "ARGOS_SERVER_URL",
"-e", "ARGOS_CUSTOMER_ID",
"-e", "MCP_PROTOCOL",
"-e", "MCP_HOST",
"-e", "MCP_PORT",
"checkpoint/argos-erm-mcp:latest"
],
"env": {
"ARGOS_INTEGRATION_TOKEN": "your_api_token_here",
"ARGOS_SERVER_URL": "your_server_url",
"ARGOS_CUSTOMER_ID": "your_customer_id_here",
"MCP_PROTOCOL": "sse",
"MCP_HOST": "0.0.0.0",
"MCP_PORT": "8001"
}
}
}
}
Best for: Custom integrations with specific HTTP streaming requirements.
{
"mcpServers": {
"argos-erm-mcp": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-p", "8002:8002",
"-e", "ARGOS_INTEGRATION_TOKEN",
"-e", "ARGOS_SERVER_URL",
"-e", "ARGOS_CUSTOMER_ID",
"-e", "MCP_PROTOCOL",
"-e", "MCP_HOST",
"-e", "MCP_PORT",
"checkpoint/argos-erm-mcp:latest"
],
"env": {
"ARGOS_INTEGRATION_TOKEN": "your_api_token_here",
"ARGOS_SERVER_URL": "your_server_url",
"ARGOS_CUSTOMER_ID": "your_customer_id_here",
"MCP_PROTOCOL": "streamable-http",
"MCP_HOST": "0.0.0.0",
"MCP_PORT": "8002"
}
}
}
}
After updating the configuration file, completely restart your AI assistant application.
Start a conversation with your AI assistant and test the connection:
"Can you connect to the Argos MCP server and show me what tools are available?"
Expected response: The AI should list 14 available tools for threat intelligence operations.
Test basic functionality:
"Get the last 10 alerts from Argos opened in the past 30 days"
| Variable | Required | Description | Default |
|---|---|---|---|
ARGOS_INTEGRATION_TOKEN | ✅ Yes | Your Argos API integration token | |
ARGOS_SERVER_URL | ✅ Yes | Your Argos instance URL | |
ARGOS_CUSTOMER_ID | ✅ Yes | Your organization's customer ID | |
MCP_PROTOCOL | No | Transport protocol: stdio, sse, or streamable-http | stdio |
MCP_HOST | No | Host address for SSE/HTTP protocols | 0.0.0.0 |
MCP_PORT | No | Port number for SSE/HTTP protocols | 8000 |
Please refer to official Argos ERM MCP user guide
Connection Issues:
docker psdocker logs <container_id>AI Assistant Not Detecting Server:
Permission Errors:
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Content type
Image
Digest
sha256:4a61c7111…
Size
42.2 MB
Last updated
about 2 months ago
docker pull checkpoint/argos-erm-mcp