mcp-server-chart vs persistent-ai-memory
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | persistent-ai-memory by savantskie | |
|---|---|---|
| Stars | ★ 4,068 | ★ 230 |
| 30d uses | 10,239 | — |
| Score | 84 | 49 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | AI / LLM ToolsDeveloper ToolsProductivity |
| Language | TypeScript | Python |
| Last commit | this month | 1 mo ago |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
persistent-ai-memory · Summary
Persistent AI memory system for LLMs with MCP server integration, database storage, and conversation tracking.
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
persistent-ai-memory · Use cases
- Enabling long-term memory in OpenWebUI chat assistants through the plugin integration
- Adding conversation history and memory capabilities to MCP-compatible AI assistants
- Implementing personalized AI assistants with persistent memory across sessions
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"]
}
}
}persistent-ai-memory · Install
Installation
# Linux/macOS
pip install git+https://github.com/savantskie/persistent-ai-memory.git
# Windows (same command, just use Command Prompt or PowerShell)
pip install git+https://github.com/savantskie/persistent-ai-memory.gitMCP Server Integration
# Via mcpo
python -m ai_memory_mcp_serverClaude Desktop Configuration
Add to your Claude Desktop config.json:
{
"mcpServers": {
"ai-memory": {
"command": "python",
"args": ["-m", "ai_memory_mcp_server"]
}
}
}