mcp-server-chart vs BloodHound-MCP-AI

Side-by-side comparison to help you pick between these two MCP servers.

	mcp-server-chart by antvis	BloodHound-MCP-AI by MorDavid
Stars	★ 4,068	★ 353
30d uses	10,239	—
Score	84	47
Official	—	—
Categories	AI / LLM ToolsDeveloper ToolsProductivity	SecurityKnowledge GraphDeveloper Tools
Language	TypeScript	Python
Last commit	this month	12 mo ago

mcp-server-chart · Summary

A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.

BloodHound-MCP-AI · Summary

MCP server connecting BloodHound with AI for natural language Active Directory security analysis.

mcp-server-chart · Use cases

Data analysts creating visual reports from datasets
AI assistants generating custom charts based on user requests
Web applications embedding visualization capabilities via HTTP API

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

mcp-server-chart · Install

Installation

Install globally:

npm install -g @antv/mcp-server-chart

For Desktop Apps (e.g., Claude Desktop, VSCode):

{
  "mcpServers": {
    "mcp-server-chart": {
      "command": "npx",
      "args": ["-y", "@antv/mcp-server-chart"]
    }
  }
}

For Windows:

{
  "mcpServers": {
    "mcp-server-chart": {
      "command": "cmd",
      "args": ["/c", "npx", "-y", "@antv/mcp-server-chart"]
    }
  }
}

BloodHound-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" } } } }

Comparison generated from public README + GitHub signals. Last updated automatically.