everything vs BloodHound-MCP-AI
Side-by-side comparison to help you pick between these two MCP servers.
everything by modelcontextprotocol | BloodHound-MCP-AI by MorDavid | |
|---|---|---|
| Stars | ★ 85,748 | ★ 353 |
| 30d uses | — | — |
| Score | 77 | 47 |
| Official | ✓ | — |
| Categories | Developer ToolsAI / LLM ToolsOther | SecurityKnowledge GraphDeveloper Tools |
| Language | TypeScript | Python |
| Last commit | this month | 12 mo ago |
everything · Summary
Official MCP test server exercising all protocol features for client builders.
BloodHound-MCP-AI · Summary
MCP server connecting BloodHound with AI for natural language Active Directory security analysis.
everything · Use cases
- Testing MCP client implementations against all protocol features
- Learning MCP protocol capabilities through a reference server
- Validating client compatibility with different transport methods
BloodHound-MCP-AI · Use cases
- Visualize and analyze Active Directory attack paths without knowing Cypher queries
- Assess AD security posture by identifying potential privilege escalation paths
- Generate comprehensive security reports for stakeholders using natural language
everything · Install
NPX (recommended)
{
"mcpServers": {
"everything": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-everything"]
}
}
}On Windows, use cmd /c:
{
"mcpServers": {
"everything": {
"command": "cmd",
"args": ["/c", "npx", "-y", "@modelcontextprotocol/server-everything"]
}
}
}Docker
{
"mcpServers": {
"everything": {
"command": "docker",
"args": ["run", "-i", "--rm", "mcp/everything"]
}
}
}Global install
npm install -g @modelcontextprotocol/server-everything@latest
npx @modelcontextprotocol/server-everythingBloodHound-MCP-AI · Install
Installation
- Clone this repository:
``bash git clone https://github.com/MorDavid/BloodHound-MCP-AI.git cd BloodHound-MCP-AI ``
- Install dependencies:
``bash pip install -r requirements.txt ``
- Configure the MCP Server in Claude Desktop:
```json { "mcpServers": { "BloodHound-MCP": { "command": "python", "args": [ "<Your_Path>\\BloodHound-MCP.py" ], "env": { "BLOODHOUND_URI": "bolt://localhost:7687", "BLOODHOUND_USERNAME": "neo4j", "BLOODHOUND_PASSWORD": "bloodhoundcommunityedition" } } } }