mcp-server-chart vs metorial-platform
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | metorial-platform by metorial | |
|---|---|---|
| Stars | ★ 4,068 | ★ 207 |
| 30d uses | 10,239 | — |
| Score | 84 | 49 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | Developer ToolsAI / LLM ToolsOps & Infra |
| Language | TypeScript | TypeScript |
| 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.
metorial-platform · Summary
Metorial is an enterprise-grade MCP platform that connects AI models to thousands of APIs and tools with one-liner SDKs.
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
metorial-platform · Use cases
- Building enterprise-grade AI applications that need to connect to multiple data sources and APIs
- Developers who want to simplify MCP integration in their AI projects without dealing with server configurations
- Teams requiring monitoring and debugging capabilities for their AI integrations across thousands of MCP servers
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"]
}
}
}metorial-platform · Install
Installation
SDK Installation
Install the SDK for your preferred language:
# For JavaScript/TypeScript
npm install @metorial/node
# For Python
pip install metorialSelf-Hosting
- Clone the repository:
``bash git clone https://github.com/metorial/metorial-platform.git cd metorial-platform ``
- Set up environment variables in
.envfile
- Run with Docker:
``bash docker-compose up -d ``