mcp-server-chart vs wren-engine
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | wren-engine by Canner | |
|---|---|---|
| Stars | ★ 4,068 | ★ 661 |
| 30d uses | 10,239 | — |
| Score | 84 | 53 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | AI / LLM ToolsDatabaseDeveloper Tools |
| Language | TypeScript | Java |
| Last commit | this month | this month |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
wren-engine · Summary
An open context engine for AI agents that provides business context and semantic layer over data sources.
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
wren-engine · Use cases
- Natural-language analytics with trusted business definitions
- AI copilots that answer questions across governed enterprise data
- Code assistants that need real business context, not just schema dumps
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"]
}
}
}wren-engine · Install
Installation
Through MCP
- Clone the repository:
git clone https://github.com/Canner/wren-engine - Navigate to the MCP server:
cd wren-engine/mcp-server - Follow the setup instructions in the README
Through AI Agents
- Follow the [Installation guide](https://docs.getwren.ai/oss/engine/get_started/installation)
- Set up quickstart with [jaffle_shop example](https://docs.getwren.ai/oss/engine/get_started/quickstart)
Claude Desktop Configuration
Add to your Claude Desktop config.json:
{
"mcpServers": {
"wren": {
"command": "uv",
"args": ["run", "mcp-server", "serve"],
"env": {
"WREN_ENGINE_PATH": "/path/to/wren-engine"
}
}
}
}