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Check Point - Workforce AI MCP Server

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An MCP (Model Context Protocol) server that exposes Check Point Workforce AI capabilities as LLM tools — enabling AI assistants to query, analyze, and manage AI & Browse security policies, assets, and applications through natural language.

Getting started

Obtaining API credentials

  1. Go to the Infinity Portal API Keys page.
  2. Click New > New Account API Key.
  3. In the Service dropdown select Workforce AI Security (and for Browse, Browse Security) and create the key.
  4. Copy the Client ID, Secret Key, and Authentication URL (gateway).

For more information, see Infinity Portal Administration Guide.

Available gateways

Region Gateway URL
Europe https://cloudinfra-gw.portal.checkpoint.com
United States https://cloudinfra-gw-us.portal.checkpoint.com

Environment variables

Variable Required Description
CP_CI_CLIENT_ID Yes CloudInfra API key client ID
CP_CI_ACCESS_KEY Yes CloudInfra API key secret
CP_CI_GATEWAY Yes CloudInfra gateway URL
MCP_MODE Yes Transport mode: stdio or http
PORT When http HTTP server port
WRITE_MODE No Set to true to enable write tools (default: false).
Warning: enabling write mode allows the LLM to create, modify, and delete security policy rules. Use with caution.

Running with stdio transport

Use stdio mode when connecting directly from an MCP client such as Claude Desktop, VS Code, or Cursor:

CP_CI_CLIENT_ID="your-client-id" \
CP_CI_ACCESS_KEY="your-access-key" \
CP_CI_GATEWAY="https://cloudinfra-gw-us.portal.checkpoint.com" \
MCP_MODE=stdio \
npx @chkp/workforce-ai-mcp

Claude Desktop configuration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "workforce-ai": {
      "command": "npx",
      "args": ["--yes", "@chkp/workforce-ai-mcp"],
      "env": {
        "CP_CI_CLIENT_ID": "your-client-id",
        "CP_CI_ACCESS_KEY": "your-access-key",
        "CP_CI_GATEWAY": "https://cloudinfra-gw-us.portal.checkpoint.com",
        "MCP_MODE": "stdio"
      }
    }
  }
}

Running with HTTP transport

Use HTTP mode when running the server as a standalone service:

CP_CI_CLIENT_ID="your-client-id" \
CP_CI_ACCESS_KEY="your-access-key" \
CP_CI_GATEWAY="https://cloudinfra-gw-us.portal.checkpoint.com" \
MCP_MODE=http \
PORT=3000 \
npx @chkp/workforce-ai-mcp

The server exposes:

  • POST /mcp — MCP StreamableHTTP endpoint
  • GET /health — Health check

Capabilities

Read mode (default)

By default, the server starts in read-only mode, exposing tools for querying and analyzing policies without making any changes. This is safe for exploration and auditing.

Policy inspection

  • List rulebases — View all rules for Chats (GenAI DLP), AI Access, Web Access, Agents, Secure Browsing, and DLP policies
  • Analyze shadow rules — Detect rules that are shadowed (never matched) by higher-priority rules
  • Simulate policy matching — Given a user and target, resolve which rule in the rulebase would apply

Assets and users

  • Search assets — Find managed assets by name or attributes
  • Count assets — Get asset counts with optional filters
  • Search users — Look up users and groups in the organization

Applications and data types

  • Search apps — Search the GenAI application catalog by name, description, or URL
  • Get apps by ID — Retrieve application details by their IDs
  • List DLP data types — Browse predefined and custom DLP data types
  • Get tenant DLP data types — View data types configured for the tenant

Policy objects

  • List domain objects — View domain-based policy objects
  • List file protection objects — View file protection configurations

Write mode

To enable write operations, set WRITE_MODE=true. This unlocks tools that modify the policy configuration:

Rule management

  • Create rules — Create new Chats, AI Access, Agents, DLP, and Secure Browsing rules with full policy configuration including actions, services, data types, and user/group assignments
  • Edit rules — Update rule name, description, and other properties
  • Activate / deactivate rules — Toggle rules on or off
  • Reorder rules — Change rule priority in the rulebase
  • Delete rules — Permanently remove rules from the rulebase

Available tools

Tool Description Mode
list_chats_rules List all Chats (GenAI DLP) rules. read
list_ai_access_rules List all AI Access rules that control which AI services and applications users are allowed to interact with. read
list_web_access_rules List all Web Access rules for Browse Security. read
list_agents_rules List all Agents (MCP Server) rules that govern agent interactions. read
list_secure_browsing_rules List all Secure Browsing threat-prevention rules. read
list_dlp_rules List all Browse DLP (Data Loss Prevention) rules for browser security. read
set_rule_info Update the display name and description of a rule identified by its UUID. write
set_rule_active Enable or disable a rule without deleting it. write
reorder_rule Move a rule to a new position in the rulebase. write
delete_rule Permanently delete a rule from the rulebase by its UUID. write
create_chats_rule Create a new Chats (GenAI DLP) rule. write
create_ai_access_rule Create a new AI Access rule that controls which AI services and applications users can interact with. write
create_agents_rule Create a new Agents (MCP Server) rule that governs agent interactions. write
create_dlp_rule Create a new Browse DLP rule for data loss prevention during web browsing. write
create_secure_browsing_rule Create a new Secure Browsing threat-prevention rule. write
set_chats_policy Replace the entire policy configuration of a Chats rule (also known as 'Chats' in AI Security UI — POLICY_TYPE_DLP). write
patch_chats_policy Deep-merge partial changes into a Chats rule's policy. write
set_access_policy Replace the entire policy configuration of an AI Access rule (POLICY_TYPE_ACCESS). write
patch_access_policy Deep-merge partial changes into an AI Access rule's policy. write
set_agents_policy Replace the entire policy configuration of an Agents rule (also known as 'Agents' — POLICY_TYPE_MCP_SERVER). write
patch_agents_policy Deep-merge partial changes into an Agents rule's policy. write
set_secure_browsing_policy Replace the entire policy configuration of a Secure Browsing rule (POLICY_TYPE_THREAT_PREVENTION). write
patch_secure_browsing_policy Deep-merge partial changes into a Secure Browsing rule's policy. write
set_rule_source Replace the full source (user/group assignments) list of a rule. write
set_rule_objects Replace all objects attached to a rule for a specific feature. write
list_file_protection_objects List all file-protection policy objects. read
update_file_protection_object Update an existing file-protection object. write
create_file_protection_object Create a new file-protection object. write
list_domains_objects List all domains policy objects. read
update_domains_object Update an existing domains object. write
create_domains_object Create a new domains object containing a list of domain entries for domain-based filtering (allow/block lists). write
delete_object Permanently delete a policy object (file-protection or domains) by its UUID. write
get_tenant_dlp_datatypes Get the tenant-specific DLP datatype configuration showing which data types are currently enabled for detection in this tenant's policies.. read
search_dlp_datatypes Search DLP data types by name or description with pagination. read
analyze_shadow_rules Find unreachable (shadowed) rules in a rulebase. read
resolve_matching_rule Given a user and target, determine which rule in the rulebase would apply. read
search_assets Search deployed assets (endpoints/devices) with optional filtering, sorting, text search, and pagination. read
count_assets Get the total count of deployed assets, optionally filtered. read
search_users Search users in the organization with optional text search and pagination. read
search_apps Search the GenAI apps catalog by name, description, or URL. read
get_apps_by_ids Get specific GenAI apps from the catalog by their numeric IDs. read

Report Bug

In case of an issue or a bug found in the MCP server, please open an issue.

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Official Check Point MCP server for managing Workforce AI & Browse Security through LLM tool calls

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