BloodHound
BloodHound MCP enables Large Language Models to interact with Active Directory and Azure Active Directory environments through natural language queries. By connecting to a Neo4j database containing BloodHound data, this implementation allows users to perform complex security analysis without writing Cypher queries manually. The server leverages the MCP protocol to translate conversational commands into database operations, making it particularly valuable for security professionals who need to quickly identify attack paths, permission issues, or vulnerabilities in their directory services through intuitive language-based interactions.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/stevenyu113228/bloodhound-mcp
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
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.