mcp-server-chart vs mcp-server-idapro
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | mcp-server-idapro by fdrechsler | |
|---|---|---|
| Stars | ★ 4,068 | ★ 98 |
| 30d uses | 10,239 | — |
| Score | 84 | 41 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | SecurityDeveloper ToolsAI / LLM Tools |
| Language | TypeScript | Python |
| Last commit | this month | 14 mo ago |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
mcp-server-idapro · Summary
An MCP server bridging AI assistants with IDA Pro for reverse engineering tasks.
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
mcp-server-idapro · Use cases
- Automating binary analysis tasks in reverse engineering workflows
- Enabling AI assistants to perform code analysis and malware research
- Creating intelligent reverse engineering assistants that can explore binaries
mcp-server-chart · Install
Installation
Install globally:
npm install -g @antv/mcp-server-chartFor 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"]
}
}
}mcp-server-idapro · Install
Installation
1. Install the IDA Pro Remote Control Plugin
- Copy
ida_remote_server.pyto your IDA Pro plugins directory:
- Windows: %PROGRAMFILES%\IDA Pro\plugins - macOS: /Applications/IDA Pro.app/Contents/MacOS/plugins - Linux: /opt/idapro/plugins
- Start IDA Pro and open a binary file.
- The plugin will automatically start an HTTP server on
127.0.0.1:9045.
2. Install the MCP Server
- Clone this repository
- Install dependencies:
npm install - Build the project:
npm run build - Configure the MCP server in your AI assistant's MCP settings:
{
"mcpServers": {
"ida-pro": {
"command": "node",
"args": ["path/to/ida-server/dist/index.js"],
"env": {}
}
}
}