mcp-server-chart vs knowledge-rag
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | knowledge-rag by lyonzin | |
|---|---|---|
| Stars | ★ 4,068 | ★ 79 |
| 30d uses | 10,239 | — |
| Score | 84 | 48 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | Developer ToolsSearchAI / 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.
knowledge-rag · Summary
Knowledge RAG is a local-first RAG system with 12 MCP tools for document search and retrieval across 20+ file formats.
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
knowledge-rag · Use cases
- Local document search across code repositories, research papers, and knowledge bases
- Knowledge management for developers with real-time search across project files
- Research tool for analyzing large collections of documents without cloud dependencies
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"]
}
}
}knowledge-rag · Install
Install knowledge-rag via pip:
pip install knowledge-ragFor Claude Desktop, add to your claude_desktop_config.json:
{
"mcpServers": {
"knowledge-rag": {
"command": "python",
"args": ["-m", "knowledge_rag.server"],
"env": {}
}
}
}Also available via NPM, Docker, and one-line installer.