BloodHound
BloodHound-MCP is a Python-based server that integrates with the BloodHound security tool to enable AI assistants to analyze Active Directory and Azure environments for security vulnerabilities. It connects to Neo4j databases containing BloodHound data and provides over 60 specialized tools for identifying attack paths, privilege escalation opportunities, certificate vulnerabilities, and security misconfigurations. The implementation supports both on-premises Active Directory and Azure/Entra ID environments, making it particularly valuable for security professionals conducting threat hunting, penetration testing, or security assessments who need AI assistance in analyzing complex network relationships and identifying potential security weaknesses.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/mordavid/bloodhound-mcp-ai
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve BloodHound from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.