# BloodHound

> Use this tool when you need to analyze Active Directory and Azure Active Directory environments through natural language queries, solving complex security issues such as identifying attack paths, permission issues, or vulnerabilities. It takes conversational commands as input and outputs security analysis results, leveraging a Neo4j database to perform database operations. This tool is ideal for security professionals who want to perform quick and intuitive security analysis without writing manual Cypher queries.

Canonical page: https://skillsregistry.net/skills/stevenyu113228-bloodhound  
JSON: https://api.skillsregistry.net/v1/skills/stevenyu113228-bloodhound

## Description

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.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/stevenyu113228-bloodhound)
- **Repository:** <https://github.com/stevenyu113228/bloodhound-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "stevenyu113228-bloodhound"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/stevenyu113228-bloodhound` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/stevenyu113228-bloodhound/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt