CrowdStrike

falcon-mcp

Community CrowdStrike
Updated

Connect AI agents to CrowdStrike Falcon for automated security analysis and threat hunting

CrowdStrike Falcon

falcon-mcp

PyPI versionPyPI - Python VersionLicense: MIT

falcon-mcp is a Model Context Protocol (MCP) server that connects AI agents with the CrowdStrike Falcon platform, powering intelligent security analysis in your agentic workflows. It delivers programmatic access to essential security capabilities—including detections, incidents, and behaviors—establishing the foundation for advanced security operations and automation.

[!IMPORTANT]🚧 Public Preview: This project is currently in public preview and under active development. Features and functionality may change before the stable 1.0 release. While we encourage exploration and testing, please avoid production deployments. We welcome your feedback through GitHub Issues to help shape the final release.

Table of Contents

  • API Credentials & Required Scopes
    • Setting Up CrowdStrike API Credentials
    • Required API Scopes by Module
  • Available Modules, Tools & Resources
    • Core Functionality (Built into Server)
    • Detections Module
    • Incidents Module
    • Intel Module
    • Hosts Module
    • Spotlight Module
    • Cloud Security Module
    • Sensor Usage Module
    • Serverless Module
    • Identity Protection Module
  • Installation & Setup
    • Prerequisites
    • Environment Configuration
    • Installation
  • Usage
    • Command Line
    • Module Configuration
    • Additional Command Line Options
    • As a Library
    • Running Examples
  • Container Usage
    • Using Pre-built Image (Recommended)
    • Building Locally (Development)
  • Editor/Assistant Integration
    • Using uvx (recommended)
    • With Module Selection
    • Using Individual Environment Variables
    • Docker Version
  • Additional Deployment Options
    • Amazon Bedrock AgentCore
  • Contributing
    • Getting Started for Contributors
    • Running Tests
    • Developer Documentation
  • License
  • Support

API Credentials & Required Scopes

Setting Up CrowdStrike API Credentials

Before using the Falcon MCP Server, you need to create API credentials in your CrowdStrike console:

  1. Log into your CrowdStrike console
  2. Navigate to Support > API Clients and Keys
  3. Click "Add new API client"
  4. Configure your API client:
    • Client Name: Choose a descriptive name (e.g., "Falcon MCP Server")
    • Description: Optional description for your records
    • API Scopes: Select the scopes based on which modules you plan to use (see below)

Required API Scopes by Module

The Falcon MCP Server supports different modules, each requiring specific API scopes:

Module Required API Scopes Purpose
Core No additional scopes Basic connectivity and system information
Detections Alerts:read Find and analyze detections to understand malicious activity
Incidents Incidents:read Analyze security incidents and coordinated activities
Intel Actors (Falcon Intelligence):readIndicators (Falcon Intelligence):readReports (Falcon Intelligence):read Research threat actors, IOCs, and intelligence reports
Hosts Hosts:read Manage and query host/device information
Cloud Security Falcon Container Image:read Find and analyze kubernetes containers inventory and container imges vulnerabilities
Sensor Usage Sensor Usage:read Access and analyze sensor usage data
Serverless Falcon Container Image:read Search for vulnerabilities in serverless functions across cloud service providers
Spotlight Vulnerabilities:read Manage and analyze vulnerability data and security assessments
Identity Protection Identity Protection Entities:readIdentity Protection Timeline:readIdentity Protection Detections:read Identity Protection Assessment:read Comprehensive entity investigation and identity protection analysis

Available Modules, Tools & Resources

[!IMPORTANT]⚠️ Important Note on FQL Guide Resources: Several modules include FQL (Falcon Query Language) guide resources that provide comprehensive query documentation and examples. While these resources are designed to assist AI assistants and users with query construction, FQL has nuanced syntax requirements and field-specific behaviors that may not be immediately apparent. AI-generated FQL filters should be tested and validated before use in production environments. We recommend starting with simple queries and gradually building complexity while verifying results in a test environment first.

About Tools & Resources: This server provides both tools (actions you can perform) and resources (documentation and context). Tools execute operations like searching for detections or analyzing threats, while resources provide comprehensive documentation like FQL query guides that AI assistants can reference for context without requiring tool calls.

Core Functionality (Built into Server)

API Scopes: None required beyond basic API access

The server provides core tools for interacting with the Falcon API:

  • falcon_check_connectivity: Check connectivity to the Falcon API
  • falcon_list_enabled_modules: Lists enabled modules in the falcon-mcp server

    These modules are determined by the --modules flag when starting the server. If no modules are specified, all available modules are enabled.

  • falcon_list_modules: Lists all available modules in the falcon-mcp server

Detections Module

API Scopes Required: Alerts:read

Provides tools for accessing and analyzing CrowdStrike Falcon detections:

  • falcon_search_detections: Find and analyze detections to understand malicious activity in your environment
  • falcon_get_detection_details: Get comprehensive detection details for specific detection IDs to understand security threats

Resources:

  • falcon://detections/search/fql-guide: Comprehensive FQL documentation and examples for detection searches

Use Cases: Threat hunting, security analysis, incident response, malware investigation

Incidents Module

API Scopes Required: Incidents:read

Provides tools for accessing and analyzing CrowdStrike Falcon incidents:

  • falcon_show_crowd_score: View calculated CrowdScores and security posture metrics for your environment
  • falcon_search_incidents: Find and analyze security incidents to understand coordinated activity in your environment
  • falcon_get_incident_details: Get comprehensive incident details to understand attack patterns and coordinated activities
  • falcon_search_behaviors: Find and analyze behaviors to understand suspicious activity in your environment
  • falcon_get_behavior_details: Get detailed behavior information to understand attack techniques and tactics

Resources:

  • falcon://incidents/crowd-score/fql-guide: Comprehensive FQL documentation for CrowdScore queries
  • falcon://incidents/search/fql-guide: Comprehensive FQL documentation and examples for incident searches
  • falcon://incidents/behaviors/fql-guide: Comprehensive FQL documentation and examples for behavior searches

Use Cases: Incident management, threat assessment, attack pattern analysis, security posture monitoring

Intel Module

API Scopes Required:

  • Actors (Falcon Intelligence):read
  • Indicators (Falcon Intelligence):read
  • Reports (Falcon Intelligence):read

Provides tools for accessing and analyzing CrowdStrike Intelligence:

  • falcon_search_actors: Research threat actors and adversary groups tracked by CrowdStrike intelligence
  • falcon_search_indicators: Search for threat indicators and indicators of compromise (IOCs) from CrowdStrike intelligence
  • falcon_search_reports: Access CrowdStrike intelligence publications and threat reports

Resources:

  • falcon://intel/actors/fql-guide: Comprehensive FQL documentation and examples for threat actor searches
  • falcon://intel/indicators/fql-guide: Comprehensive FQL documentation and examples for indicator searches
  • falcon://intel/reports/fql-guide: Comprehensive FQL documentation and examples for intelligence report searches

Use Cases: Threat intelligence research, adversary tracking, IOC analysis, threat landscape assessment

Hosts Module

API Scopes Required: Hosts:read

Provides tools for accessing and managing CrowdStrike Falcon hosts/devices:

  • falcon_search_hosts: Search for hosts in your CrowdStrike environment
  • falcon_get_host_details: Retrieve detailed information for specified host device IDs

Resources:

  • falcon://hosts/search/fql-guide: Comprehensive FQL documentation and examples for host searches

Use Cases: Asset management, device inventory, host monitoring, compliance reporting

Spotlight Module

API Scopes Required: Vulnerabilities:read

Provides tools for accessing and managing CrowdStrike Spotlight vulnerabilities:

  • falcon_search_vulnerabilities: Search for vulnerabilities in your CrowdStrike environment

Resources:

  • falcon://spotlight/vulnerabilities/fql-guide: Comprehensive FQL documentation and examples for vulnerability searches

Use Cases: Vulnerability management, security assessments, compliance reporting, risk analysis, patch prioritization

Cloud Security Module

API Scopes Required:

  • Falcon Container Image:read

Provides tools for accessing and analyzing CrowdStrike Cloud Security resources:

  • falcon_search_kubernetes_containers: Search for containers from CrowdStrike Kubernetes & Containers inventory
  • falcon_count_kubernetes_containers: Count for containers by filter criteria from CrowdStrike Kubernetes & Containers inventory
  • falcon_search_images_vulnerabilities: Search for images vulnerabilities from CrowdStrike Image Assessments

Resources:

  • falcon://cloud/kubernetes-containers/fql-guide: Comprehensive FQL documentation and examples for kubernetes containers searches
  • falcon://cloud/images-vulnerabilities/fql-guide: Comprehensive FQL documentation and examples for images vulnerabilities searches

Use Cases: Manage kubernetes containers inventory, container images vulnerabilities analysis

Sensor Usage Module

API Scopes Required: Sensor Usage:read

Provides tools for accessing and analyzing CrowdStrike Falcon sensor usage data:

  • falcon_search_sensor_usage: Search for weekly sensor usage data in your CrowdStrike environment

Resources:

  • falcon://sensor-usage/weekly/fql-guide: Comprehensive FQL documentation and examples for sensor usage searches

Use Cases: Sensor deployment monitoring, license utilization analysis, sensor health tracking

Serverless Module

API Scopes Required: Falcon Container Image:read

Provides tools for accessing and managing CrowdStrike Falcon Serverless Vulnerabilities:

  • falcon_search_serverless_vulnerabilities: Search for vulnerabilities in your serverless functions across all cloud service providers

Resources:

  • falcon://serverless/vulnerabilities/fql-guide: Comprehensive FQL documentation and examples for serverless vulnerabilities searches

Use Cases: Serverless security assessment, vulnerability management, cloud security monitoring

Identity Protection Module

API Scopes Required: Identity Protection GraphQL:write

Provides tools for accessing and managing CrowdStrike Falcon Identity Protection capabilities:

  • idp_investigate_entity: Entity investigation tool for analyzing users, endpoints, and other entities with support for timeline analysis, relationship mapping, and risk assessment

Use Cases: Entity investigation, identity protection analysis, user behavior analysis, endpoint security assessment, relationship mapping, risk assessment

Installation & Setup

Prerequisites

  • Python 3.11 or higher
  • uv or pip
  • CrowdStrike Falcon API credentials (see above)

Environment Configuration

Copy the example environment file and configure your credentials:

cp .env.example .env

Then edit .env with your CrowdStrike API credentials:

Required Configuration:

  • FALCON_CLIENT_ID: Your CrowdStrike API client ID
  • FALCON_CLIENT_SECRET: Your CrowdStrike API client secret
  • FALCON_BASE_URL: Your CrowdStrike API region URL (see options in .env.example)

Optional Configuration:

  • FALCON_MCP_MODULES: Comma-separated list of modules to enable (default: all modules)
  • FALCON_MCP_TRANSPORT: Transport method - stdio, sse, or streamable-http (default: stdio)
  • FALCON_MCP_DEBUG: Enable debug logging - true or false (default: false)
  • FALCON_MCP_HOST: Host for HTTP transports (default: 127.0.0.1)
  • FALCON_MCP_PORT: Port for HTTP transports (default: 8000)

Alternatively, you can set these as environment variables instead of using a .env file.

Important: Ensure your API client has the necessary scopes for the modules you plan to use. You can always update scopes later in the CrowdStrike console.

Installation

Install using uv
uv tool install falcon-mcp
Install using pip
pip install falcon-mcp

[!TIP]If falcon-mcp isn't found, update your shell PATH.

For installation via code editors/assistants, see the Editor/Assitant section below

Usage

Command Line

Run the server with default settings (stdio transport):

falcon-mcp

Run with SSE transport:

falcon-mcp --transport sse

Run with streamable-http transport:

falcon-mcp --transport streamable-http

Run with streamable-http transport on custom port:

falcon-mcp --transport streamable-http --host 0.0.0.0 --port 8080

Module Configuration

The Falcon MCP Server supports multiple ways to specify which modules to enable:

1. Command Line Arguments (highest priority)

Specify modules using comma-separated lists:

# Enable specific modules
falcon-mcp --modules detections,incidents,intel,spotlight,idp

# Enable only one module
falcon-mcp --modules detections
2. Environment Variable (fallback)

Set the FALCON_MCP_MODULES environment variable:

# Export environment variable
export FALCON_MCP_MODULES=detections,incidents,intel,spotlight,idp
falcon-mcp

# Or set inline
FALCON_MCP_MODULES=detections,incidents,intel,spotlight,idp falcon-mcp
3. Default Behavior (all modules)

If no modules are specified via command line or environment variable, all available modules are enabled by default.

Module Priority Order:

  1. Command line --modules argument (overrides all)
  2. FALCON_MCP_MODULES environment variable (fallback)
  3. All modules (default when none specified)

Additional Command Line Options

For all available options:

falcon-mcp --help

As a Library

from falcon_mcp.server import FalconMCPServer

# Create and run the server
server = FalconMCPServer(
    base_url="https://api.us-2.crowdstrike.com",  # Optional, defaults to env var
    debug=True,  # Optional, enable debug logging
    enabled_modules=["detections", "incidents", "spotlight", "idp"]  # Optional, defaults to all modules
)

# Run with stdio transport (default)
server.run()

# Or run with SSE transport
server.run("sse")

# Or run with streamable-http transport
server.run("streamable-http")

# Or run with streamable-http transport on custom host/port
server.run("streamable-http", host="0.0.0.0", port=8080)

Running Examples

# Run with stdio transport
python examples/basic_usage.py

# Run with SSE transport
python examples/sse_usage.py

# Run with streamable-http transport
python examples/streamable_http_usage.py

Container Usage

The Falcon MCP Server is available as a pre-built container image for easy deployment:

Using Pre-built Image (Recommended)

# Pull the latest pre-built image
docker pull quay.io/crowdstrike/falcon-mcp:latest

# Run with .env file (recommended)
docker run --rm --env-file /path/to/.env quay.io/crowdstrike/falcon-mcp:latest

# Run with .env file and SSE transport
docker run --rm -p 8000:8000 --env-file /path/to/.env \
  quay.io/crowdstrike/falcon-mcp:latest --transport sse --host 0.0.0.0

# Run with .env file and streamable-http transport
docker run --rm -p 8000:8000 --env-file /path/to/.env \
  quay.io/crowdstrike/falcon-mcp:latest --transport streamable-http --host 0.0.0.0

# Run with .env file and custom port
docker run --rm -p 8080:8080 --env-file /path/to/.env \
  quay.io/crowdstrike/falcon-mcp:latest --transport streamable-http --host 0.0.0.0 --port 8080

# Run with .env file and specific modules
docker run --rm --env-file /path/to/.env \
  quay.io/crowdstrike/falcon-mcp:latest --modules detections,incidents,spotlight,idp

# Use a specific version instead of latest
docker run --rm --env-file /path/to/.env \
  quay.io/crowdstrike/falcon-mcp:1.2.3

# Alternative: Individual environment variables
docker run --rm -e FALCON_CLIENT_ID=your_client_id -e FALCON_CLIENT_SECRET=your_secret \
  quay.io/crowdstrike/falcon-mcp:latest

Building Locally (Development)

For development or customization purposes, you can build the image locally:

# Build the Docker image
docker build -t falcon-mcp .

# Run the locally built image
docker run --rm -e FALCON_CLIENT_ID=your_client_id -e FALCON_CLIENT_SECRET=your_secret falcon-mcp

Note: When using HTTP transports in Docker, always set --host 0.0.0.0 to allow external connections to the container.

Editor/Assistant Integration

You can integrate the Falcon MCP server with your editor or AI assistant. Here are configuration examples for popular MCP clients:

Using uvx (recommended)

{
  "mcpServers": {
    "falcon-mcp": {
      "command": "uvx",
      "args": ["--env-file", "/path/to/.env", "falcon-mcp"]
    }
  }
}

With Module Selection

{
  "mcpServers": {
    "falcon-mcp": {
      "command": "uvx",
      "args": [
        "--env-file",
        "/path/to/.env",
        "falcon-mcp",
        "--modules",
        "detections,incidents,intel"
      ]
    }
  }
}

Using Individual Environment Variables

{
  "mcpServers": {
    "falcon-mcp": {
      "command": "uvx",
      "args": ["falcon-mcp"],
      "env": {
        "FALCON_CLIENT_ID": "your-client-id",
        "FALCON_CLIENT_SECRET": "your-client-secret",
        "FALCON_BASE_URL": "https://api.crowdstrike.com"
      }
    }
  }
}

Docker Version

{
  "mcpServers": {
    "falcon-mcp-docker": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--env-file",
        "/full/path/to/.env",
        "quay.io/crowdstrike/falcon-mcp:latest"
      ]
    }
  }
}

Additional Deployment Options

Amazon Bedrock AgentCore

To deploy the MCP Server as a tool in Amazon Bedrock AgentCore, please refer to the following document.

Contributing

Getting Started for Contributors

  1. Clone the repository:

    git clone https://github.com/CrowdStrike/falcon-mcp.git
    cd falcon-mcp
    
  2. Install in development mode:

    # Create .venv and install dependencies
    uv sync --all-extras
    
    # Activate the venv
    source .venv/bin/activate
    

[!IMPORTANT]This project uses Conventional Commits for automated releases and semantic versioning. Please follow the commit message format outlined in our Contributing Guide when submitting changes.

Running Tests

# Run all tests
pytest

# Run end-to-end tests
pytest --run-e2e tests/e2e/

# Run end-to-end tests with verbose output (note: -s is required to see output)
pytest --run-e2e -v -s tests/e2e/

Note: The -s flag is required to see detailed output from E2E tests.

Developer Documentation

  • Module Development Guide: Instructions for implementing new modules
  • Resource Development Guide: Instructions for implementing resources
  • End-to-End Testing Guide: Guide for running and understanding E2E tests

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

This is a community-driven, open source project. While it is not an official CrowdStroke product, it is actively maintained by CrowdStrike and supported in collaboration with the open source developer community.

For more information, please see our SUPPORT file.

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