mcp-server-chart vs LLaMa-MCP-Streamlit

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

	mcp-server-chart by antvis	LLaMa-MCP-Streamlit by Nikunj2003
Stars	★ 4,068	★ 43
30d uses	10,239	—
Score	84	36
Official	—	—
Categories	AI / LLM ToolsDeveloper ToolsProductivity	AI / LLM ToolsDeveloper ToolsProductivity
Language	TypeScript	Python
Last commit	this month	15 mo ago

mcp-server-chart · Summary

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

LLaMa-MCP-Streamlit · Summary

A Streamlit AI assistant using MCP to enable tool interactions with LLaMa 3.3 or Ollama models.

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

LLaMa-MCP-Streamlit · Use cases

Creating an interactive chat interface that can execute commands via MCP
Building a custom AI assistant with access to file system tools
Developing a prototype for LLM applications with external tool integration

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"]
    }
  }
}

LLaMa-MCP-Streamlit · Install

Installation Steps

Clone the repository
Set up environment variables in .env file:

```bash # NVIDIA NIM API API_ENDPOINT=https://integrate.api.nvidia.com/v1 API_KEY=your_api_key_here

# Ollama API_ENDPOINT=http://localhost:11434/v1/ API_KEY=ollama ```

Install dependencies using Poetry:

``bash poetry install ``

Run the Streamlit app:

``bash poetry run streamlit run llama_mcp_streamlit/main.py ``

To use with Claude Desktop, add to claude_desktop_config.json:

{
  "mcpServers": {
    "llama-mcp-streamlit": {
      "command": "python",
      "args": ["path/to/llama_mcp_streamlit/utils/mcp_server.py"]
    }
  }
}

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