BloodHound MCP AI
An MCP server that bridges BloodHound's Active Directory attack path analysis database to AI assistants, exposing 75+ tools for querying AD attack paths, privilege escalation routes, Kerberos vulnerabilities (Kerberoasting, AS-REP roasting), NTLM relay opportunities, and Active Directory Certificate Services (ADCS) misconfigurations via natural language. Instead of writing Cypher graph traversal queries manually, security professionals can ask an AI 'show me all paths from a Domain User to Domain Admin' and get results from their BloodHound Neo4j database. Designed for authorized penetration testing engagements where BloodHound data has already been collected from target AD environments.
Best When
A red team or penetration tester has completed BloodHound data collection from an authorized AD environment and wants AI-assisted attack path analysis and report generation without writing Cypher.
Avoid When
You do not have BloodHound infrastructure deployed with AD data already ingested, or you cannot guarantee written authorization for the target environment.
Use Cases
- • Natural language attack path discovery: 'Find all kerberoastable accounts with paths to Domain Admin'
- • Automated security assessment report generation from BloodHound data
- • Accelerating red team operations by eliminating manual Cypher query writing
- • ADCS vulnerability enumeration: query ESC1-ESC8 certificate abuse paths
- • Cross-domain trust enumeration and lateral movement path discovery
- • Quantifying attack path exposure for executive risk reporting
Not For
- • Unauthorized security assessments — BloodHound data collection requires domain-level access which requires explicit authorization
- • Environments without BloodHound 4.x+ Community Edition and Neo4j already set up with AD data ingested
- • Blue team / defensive use cases — this is a red team tool; BloodHound Enterprise has a defender-focused product separately
- • Real-time AD monitoring — operates on a static snapshot collected at ingestion time
Alternatives
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Scores are editorial opinions as of 2026-03-01.