mcp-server-chart vs cuba-memorys
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | cuba-memorys by LeandroPG19 | |
|---|---|---|
| Stars | ★ 4,068 | ★ 22 |
| 30d uses | 10,239 | — |
| Score | 84 | 45 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | Knowledge GraphAI / LLM ToolsDeveloper Tools |
| Language | TypeScript | Rust |
| 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.
cuba-memorys · Summary
A sophisticated MCP server providing AI agents with persistent memory using knowledge graphs, neuroscience-inspired algorithms, and anti-hallucination techniques.
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
cuba-memorys · Use cases
- Long-term memory for AI coding assistants that persists across sessions
- Knowledge management systems with semantic relationships and contradiction detection
- AI agents requiring context-aware memory and prospective triggers
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"]
}
}
}cuba-memorys · Install
Recommended Installation (PyPI)
pip install cuba-memorysClaude Desktop Configuration
Add to Claude Desktop config:
{
"mcpServers": {
"cuba-memorys": {
"command": "cuba-memorys"
}
}
}Auto-provisioned Setup
No configuration required - the server automatically provisions a PostgreSQL database via Docker on first run. Docker must be installed and running.
Custom PostgreSQL Setup
If you already have PostgreSQL with pgvector:
{
"mcpServers": {
"cuba-memorys": {
"command": "cuba-memorys",
"env": {
"DATABASE_URL": "postgresql://user:pass@localhost:5432/brain"
}
}
}
}