BloodHound-MCP

Overview

BloodHound‑MCP is a Model Context Protocol (MCP) server that bridges the powerful graph analytics of BloodHound with the conversational flexibility of AI assistants. By exposing a rich set of MCP tools built on top of BloodHound’s Neo4j graph, the server lets security engineers and analysts ask complex Active Directory (AD) questions in plain English. The result is a natural‑language interface that translates user intent into Cypher queries, executes them against the BloodHound database, and returns actionable insights—all without requiring deep knowledge of graph query languages.

Problem Solved

Traditional AD analysis demands familiarity with Cypher, manual data exports, and tedious visual inspections. Security teams often struggle to surface hidden attack paths or quickly generate compliance reports because they must manually craft queries or rely on static dashboards. BloodHound‑MCP eliminates these friction points by providing an AI‑driven layer that interprets natural language, executes precise graph queries, and delivers concise, context‑rich responses. This dramatically reduces the learning curve and speeds up threat hunting, privilege escalation assessments, and vulnerability triage.

Core Value for Developers

For developers building AI‑enabled security tooling, BloodHound‑MCP offers a turnkey MCP implementation that can be plugged into any Claude or similar AI client. The server exposes dozens of pre‑built tools—each encapsulating a common AD analysis pattern such as Kerberoasting paths, NTLM relay vectors, or certificate service weaknesses. Because the server follows the open MCP specification, developers can extend it with custom Cypher queries or integrate additional data sources without rewriting the AI interface. This modularity makes it ideal for rapid prototyping of security workflows or embedding AD analysis into broader incident‑response pipelines.

Key Features

• Natural Language Interface – Convert everyday questions into precise graph queries.
• Comprehensive Analysis Suite – Tools for domain mapping, privilege escalation, Kerberos and NTLM attacks, certificate services, AD hygiene, delegation abuse, and more.
• Real‑time Reporting – Generate executive‑ready security reports directly from the MCP server.
• Secure Integration – Credentials and connection details are passed via environment variables, keeping sensitive data out of the codebase.
• Extensibility – Add new tools or modify existing ones by updating Cypher templates, all while maintaining the MCP contract.

Real‑world Use Cases

• Red Team Operations – Quickly identify high‑value attack paths and validate exploitation techniques.
• Blue Team Monitoring – Automate detection of new Kerberoasting or NTLM relay opportunities as the environment evolves.
• Compliance Auditing – Generate up‑to‑date reports on privileged accounts, stale credentials, and AD hygiene for auditors.
• Incident Response – During a breach, analysts can ask the AI to map compromised paths and recommend containment actions in minutes.

Integration into AI Workflows

Once the MCP server is running, any AI assistant that supports MCP can invoke its tools via simple prompts. For example, a user might ask, “Show me all paths from kerberoastable users to Domain Admins,” and the assistant will delegate the request to BloodHound‑MCP, receive a structured response, and present it in a human‑readable format. This seamless handoff turns static graph data into an interactive knowledge base, empowering analysts to focus on remediation rather than query construction.

Standout Advantages

BloodHound‑MCP is the first MCP integration for BloodHound, making it uniquely positioned to bring graph‑based AD analysis into the conversational AI space. Its open‑source nature, combined with a robust set of pre‑built tools and an emphasis on security best practices, provides a secure, extensible foundation for building AI‑driven cybersecurity solutions.