BloodHound MCP (Model Context Protocol) extends the BloodHound tool to enable Large Language Models (LLMs) to interact with and analyze Active Directory and Azure Active Directory environments through natural language queries. This server allows users to perform complex analysis using simple, conversational commands without writing Cypher queries manually.
Before installing BloodHound MCP, ensure you have:
Configure the MCP server by creating a configuration file with your Neo4j database connection details:
{
"mcpServers": {
"BloodHound": {
"name": "BloodHound",
"isActive": true,
"command": "uv",
"args": [
"run",
"--with",
"mcp[cli],neo4j",
"mcp",
"run",
"<PATH_TO_THE_PROJECT>server.py"
],
"env": {
"BLOODHOUND_URI": "bolt://localhost:7687",
"BLOODHOUND_USERNAME": "neo4j",
"BLOODHOUND_PASSWORD": "bloodhound"
}
}
}
}
Make sure to replace <PATH_TO_THE_PROJECT>
with the actual path to where you've installed BloodHound MCP.
The following environment variables need to be set:
BLOODHOUND_URI
: Connection URI for your Neo4j database (default: bolt://localhost:7687)BLOODHOUND_USERNAME
: Your Neo4j username (default: neo4j)BLOODHOUND_PASSWORD
: Your Neo4j password (default: bloodhound)Once configured, you can interact with your Active Directory or Azure AD environment using natural language queries. The MCP server processes these queries and returns insights from your BloodHound data.
You can ask questions like:
BloodHound MCP supports various types of analysis:
You can adjust the server settings in the configuration file to match your specific environment and tool requirements. This includes changing the command and arguments used to launch the server.
If you encounter issues:
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"cursor-rules-mcp": {
"command": "npx",
"args": [
"-y",
"cursor-rules-mcp"
]
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.