BloodHound-MCP-AI vs codebase-memory-mcp
A side-by-side comparison of two Developer Tools servers — tools, transport, auth, maintenance, and copy-paste config for each.
| BloodHound-MCP-AI Analyze BloodHound Active Directory attack paths with natural language via 75+ Cypher-backed MCP tools. Unverified stdio (local) No auth Stale Python | codebase-memory-mcp Code intelligence engine that indexes repos into a persistent knowledge graph for AI coding agents. Unverified stdio (local) No auth C | |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| Language | Python | C |
| Transport | stdio (local) | stdio (local) |
| Auth | None | None |
| GitHub stars | 363 | 16k |
| Last commit | 1 year ago | 12 hours ago |
| Verified | ||
| Actively maintained | ||
| Install | git clone https://github.com/MorDavid/BloodHound-MCP-AI.git && pip install -r requirements.txt | curl -fsSL https://raw.githubusercontent.com/DeusData/codebase-memory-mcp/main/install.sh | bash |
| Repo | Open | Open |
Verdict
Pick BloodHound-MCP-AI if you prefer its approach (analyze bloodhound active directory attack paths with natural language via 75+ cypher-backed mcp tools).
Pick codebase-memory-mcp if you prefer the more popular, battle-tested option, and you need the broadest set of tools.
Add BloodHound-MCP-AI
git clone https://github.com/MorDavid/BloodHound-MCP-AI.git && pip install -r requirements.txtPaste into ~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"bloodhound-mcp-ai": {
"command": "python",
"args": [
"<Your_Path>\\BloodHound-MCP.py"
],
"env": {
"BLOODHOUND_URI": "bolt://localhost:7687",
"BLOODHOUND_USERNAME": "neo4j",
"BLOODHOUND_PASSWORD": "bloodhoundcommunityedition"
}
}
}
}Add codebase-memory-mcp
curl -fsSL https://raw.githubusercontent.com/DeusData/codebase-memory-mcp/main/install.sh | bashPaste into ~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"codebase-memory-mcp": {
"command": "/path/to/codebase-memory-mcp",
"args": []
}
}
}FAQ
BloodHound-MCP-AI or codebase-memory-mcp — which is better?
Pick BloodHound-MCP-AI if you prefer its approach (analyze bloodhound active directory attack paths with natural language via 75+ cypher-backed mcp tools). Pick codebase-memory-mcp if you prefer the more popular, battle-tested option, and you need the broadest set of tools.
Can I use both BloodHound-MCP-AI and codebase-memory-mcp?
Yes — MCP clients let you enable multiple servers at once. Add both configs to your client's mcpServers and use whichever tool fits the task.
Do BloodHound-MCP-AI and codebase-memory-mcp work with Claude, Cursor and Windsurf?
Both do. Copy the per-client config below into Claude Desktop, Cursor, or Windsurf.