mcp-server-chart vs orionbelt-semantic-layer
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | orionbelt-semantic-layer by ralfbecher | |
|---|---|---|
| Stars | ★ 4,068 | ★ 46 |
| 30d uses | 10,239 | — |
| Score | 84 | 45 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | Developer ToolsKnowledge GraphAI / LLM Tools |
| Language | TypeScript | Python |
| 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.
orionbelt-semantic-layer · Summary
OrionBelt Semantic Layer converts YAML semantic models to optimized SQL for multiple databases via MCP API.
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
orionbelt-semantic-layer · Use cases
- Business intelligence and analytics teams creating semantic models for multiple database platforms
- AI agents and assistants needing to translate business questions to optimized SQL queries
- Organizations implementing analytics as code with version-controlled semantic definitions
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"]
}
}
}orionbelt-semantic-layer · Install
Install the OrionBelt MCP server via the separate MCP client:
pip install orionbelt-semantic-layer-mcpAdd to Claude Desktop claude_desktop_config.json:
{
"mcpServers": {
"orionbelt": {
"command": "uvx",
"args": ["orionbelt-semantic-layer-mcp"]
}
}
}The main semantic layer API can be installed directly:
pip install orionbelt-semantic-layerOr via Docker:
docker run -p 8080:8080 ralforion/orionbelt-api