mcp-server-chart vs qurio

Side-by-side comparison to help you pick between these two MCP servers.

	mcp-server-chart by antvis	qurio by irahardianto
Stars	★ 4,068	★ 16
30d uses	10,239	—
Score	84	41
Official	—	—
Categories	AI / LLM ToolsDeveloper ToolsProductivity	AI / LLM ToolsDeveloper ToolsKnowledge Graph
Language	TypeScript	Go
Last commit	this month	3 mo ago

mcp-server-chart · Summary

A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.

qurio · Summary

A self-hosted RAG engine for AI coding assistants that ingests technical docs and code repositories locally, serving grounded context via MCP to prevent hallucinations.

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

qurio · Use cases

Providing accurate, context-aware responses for AI coding assistants like Cursor, Claude Code, or Gemini CLI
Creating a private knowledge base for proprietary documentation and internal code repositories
Enhancing AI productivity by reducing hallucinations through grounded context retrieval

mcp-server-chart · Install

Installation

Install globally:

npm install -g @antv/mcp-server-chart

For 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"]
    }
  }
}

qurio · Install

Installation

Prerequisites

[Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/)
A [Google Gemini API Key](https://aistudio.google.com/app/apikey) (for embeddings)

Steps

Clone the repository:

``bash git clone https://github.com/irahardianto/qurio.git cd qurio ``

Configure environment:

``bash cp .env.example .env # Add your Gemini API key to .env ``

Start the system:

``bash docker-compose up -d ``

Access the dashboard at http://localhost:3000
Add additional API keys (Jina AI/Cohere) in the settings page

MCP Configuration

Add to your MCP settings:

{
  "mcpServers": {
    "qurio": {
      "httpUrl": "http://localhost:8081/mcp"
    }
  }
}

Comparison generated from public README + GitHub signals. Last updated automatically.