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CrowdStrike Threat Graph MCP Server

Create a powerful Model Context Protocol (MCP) server for CrowdStrike Threat Graph in minutes with our AI Gateway. This guide walks you through setting up seamless threat intelligence integration with enterprise-grade security and instant OAuth authentication.

About CrowdStrike Threat Graph API​

CrowdStrike Threat Graph is a cloud-native graph database that captures and analyzes trillions of security events daily. It provides AI-powered threat intelligence, behavioral analytics, and advanced hunting capabilities to identify sophisticated threats and attack patterns across your environment.

Key Capabilities​

  • Threat Intelligence: Real-time threat actor tracking
  • Behavioral Analytics: AI-powered anomaly detection
  • Attack Pattern Recognition: MITRE ATT&CK mapping
  • Threat Hunting: Advanced query capabilities
  • Indicator Enrichment: Contextual threat data
  • Adversary Intelligence: Threat actor profiles
  • Kill Chain Analysis: Attack progression tracking
  • Predictive Analytics: Threat forecasting

API Features​

  • GraphQL API: Flexible threat queries
  • REST API: Standard operations
  • OAuth 2.0: Secure authentication
  • Real-time Updates: Streaming intelligence
  • Batch Queries: Bulk analysis
  • ML Models: AI-powered insights
  • Custom Queries: Advanced hunting
  • Data Export: Intelligence sharing

What You Can Do with CrowdStrike Threat Graph MCP Server​

The MCP server transforms CrowdStrike Threat Graph API into a natural language interface, enabling AI agents to:

Threat Intelligence​

  • Actor Intelligence

    • "Show activity from APT groups"
    • "Track Lazarus Group campaigns"
    • "Find ransomware operators"
    • "Monitor nation-state actors"

  • Campaign Analysis

    • "Identify active campaigns"
    • "Track campaign evolution"
    • "Link related attacks"
    • "Predict next targets"

  • TTPs Mapping

    • "Map to MITRE ATT&CK"
    • "Show common techniques"
    • "Track tactic changes"
    • "Identify new procedures"

Advanced Hunting​

  • Behavioral Queries

    • "Find process injection patterns"
    • "Hunt for living-off-the-land"
    • "Detect lateral movement"
    • "Search for data exfiltration"

  • Anomaly Detection

    • "Identify unusual behaviors"
    • "Find outlier processes"
    • "Detect rare connections"
    • "Track privilege escalation"

  • Correlation Analysis

    • "Link related events"
    • "Build attack timelines"
    • "Connect indicators"
    • "Map relationships"

Graph Analytics​

  • Entity Relationships

    • "Show process lineage"
    • "Map network connections"
    • "Track file relationships"
    • "Analyze user behavior"

  • Pattern Recognition

    • "Identify attack patterns"
    • "Find similar threats"
    • "Detect recurring behaviors"
    • "Cluster related activity"

  • Temporal Analysis

    • "Build attack timelines"
    • "Track threat evolution"
    • "Analyze dwell time"
    • "Measure attack velocity"

Indicator Analysis​

  • IOC Enrichment

    • "Enrich file hashes"
    • "Analyze IP reputation"
    • "Check domain intelligence"
    • "Verify email addresses"

  • Threat Context

    • "Show related campaigns"
    • "Link to threat actors"
    • "Provide kill chain context"
    • "Display confidence scores"

  • Historical Analysis

    • "Track indicator history"
    • "Show first seen dates"
    • "Analyze prevalence"
    • "Monitor trends"

AI-Powered Insights​

  • Predictive Analytics

    • "Forecast attack likelihood"
    • "Predict next targets"
    • "Assess risk levels"
    • "Estimate impact"

  • Behavioral Modeling

    • "Model normal behavior"
    • "Detect deviations"
    • "Score anomalies"
    • "Classify threats"

  • Automated Analysis

    • "Auto-classify threats"
    • "Generate hypotheses"
    • "Suggest investigations"
    • "Recommend responses"

Global Threat Landscape​

  • Geographic Analysis

    • "Show threats by region"
    • "Track global campaigns"
    • "Monitor hotspots"
    • "Analyze targeting"

  • Industry Targeting

    • "Track sector threats"
    • "Identify targeted industries"
    • "Monitor vertical-specific attacks"
    • "Assess industry risk"

  • Threat Trending

    • "Show emerging threats"
    • "Track threat velocity"
    • "Monitor technique adoption"
    • "Predict future trends"

Attack Chain Analysis​

  • Kill Chain Mapping

    • "Map full attack chain"
    • "Identify entry points"
    • "Track lateral movement"
    • "Show exfiltration paths"

  • Impact Assessment

    • "Calculate blast radius"
    • "Identify affected systems"
    • "Assess data exposure"
    • "Estimate damage"

  • Attribution Analysis

    • "Link to known actors"
    • "Compare techniques"
    • "Analyze infrastructure"
    • "Build attribution confidence"

Integration & Enrichment​

  • SIEM Enrichment

    • "Enhance SIEM alerts"
    • "Provide threat context"
    • "Add intelligence data"
    • "Improve detection accuracy"

  • Threat Feeds

    • "Export custom feeds"
    • "Generate STIX/TAXII"
    • "Create blocklists"
    • "Share intelligence"

  • API Integration

    • "Query via GraphQL"
    • "Stream updates"
    • "Batch operations"
    • "Custom webhooks"

Prerequisites​

  • Access to Cequence AI Gateway
  • CrowdStrike Threat Graph access
  • API client credentials
  • Appropriate API scopes

Step 1: Create CrowdStrike API Client​

1.1 Access Falcon Console​

  1. Log in to CrowdStrike Falcon
  2. Navigate to Support > API Clients and Keys
  3. Click Create API Client

1.2 Configure API Client​

  1. Fill in details:
    • Client Name: "AI Gateway Threat Graph MCP"
    • Description: "Threat intelligence and hunting"
    • API Scopes: Select Threat Graph scopes

1.3 Select API Scopes​

Required scopes:

  • Threat Graph: Read
  • Intel: Read
  • Indicators: Read
  • Actors: Read
  • Reports: Read

1.4 Save Credentials​

  1. Click Create
  2. Copy Client ID
  3. Copy Client Secret
  4. Note your Base URL

Step 2-4: Standard Setup​

Follow standard steps to access AI Gateway, find CrowdStrike Threat Graph API, and create MCP server.

Step 5: Configure API Endpoints​

  1. Base URL: https://api.crowdstrike.com
  2. GraphQL Endpoint: /graphql
  3. Select endpoints:
    • Threat Graph endpoints
    • Intel endpoints
    • Indicators endpoints
  4. Click Next

Step 6: MCP Server Configuration​

  1. Name: "CrowdStrike Threat Graph"
  2. Description: "Threat intelligence and analytics"
  3. Configure production mode
  4. Click Next

Step 7: Configure Authentication​

  1. Authentication Type: OAuth 2.0 (Client Credentials)
  2. Token URL: 
    https://api.crowdstrike.com/oauth2/token
  3. Grant Type: client_credentials
  4. Enter Client ID and Secret

Available CrowdStrike Threat Graph API Scopes​

Threat Intelligence​

  • Threat Graph

    • threat-graph:read - Query threat data
    • threat-graph:write - Update custom intel

  • Intelligence

    • intel:read - Access threat intelligence
    • actors:read - View threat actors
    • indicators:read - Access indicators

Analytics & Hunting​

  • Hunting

    • hunt:read - Execute hunt queries
    • hunt:write - Save hunt queries

  • Analytics

    • analytics:read - Access analytics
    • ml-models:read - Use ML models

For Threat Analysts:

threat-graph:read
intel:read
actors:read
indicators:read
hunt:read

For Threat Hunters:

threat-graph:read
threat-graph:write
hunt:read
hunt:write
analytics:read
ml-models:read

Step 8-10: Complete Setup​

Configure security, choose deployment, and deploy.

Using Your CrowdStrike Threat Graph MCP Server​

Setup Instructions:

Natural Language Commands​

  • "Show recent APT28 activity patterns"
  • "Hunt for PowerShell Empire indicators"
  • "Analyze relationships for hash abc123"
  • "Find similar attacks to incident 54321"
  • "Track Cobalt Strike beacon patterns"

Common Use Cases​

Threat Hunting​

  • Advanced persistent threat hunting
  • Behavioral pattern detection
  • Anomaly investigation
  • Zero-day discovery

Intelligence Analysis​

  • Threat actor profiling
  • Campaign attribution
  • TTP analysis
  • Strategic intelligence

Incident Investigation​

  • Root cause analysis
  • Lateral movement tracking
  • Impact assessment
  • Evidence correlation

Predictive Security​

  • Risk forecasting
  • Attack prediction
  • Threat modeling
  • Proactive defense

Security Best Practices​

  1. API Security:

    • Limit scope access
    • Rotate credentials
    • Monitor query patterns
    • Implement rate limiting

  2. Data Handling:

    • Classify intelligence data
    • Implement need-to-know
    • Audit data access
    • Secure data storage

  3. Query Safety:

    • Validate query inputs
    • Limit query complexity
    • Monitor resource usage
    • Implement timeouts

Troubleshooting​

Common Issues​

  1. Query Performance

    • Optimize GraphQL queries
    • Use pagination
    • Implement caching
    • Monitor query complexity

  2. Data Quality

    • Verify indicator formats
    • Check data freshness
    • Validate enrichment results
    • Review confidence scores

  3. Integration Issues

    • Test GraphQL endpoint
    • Verify authentication
    • Check rate limits
    • Review error messages

Getting Help​