mcp-server-chart vs ollama-mcp-example
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | ollama-mcp-example by kirillsaidov | |
|---|---|---|
| Stars | ★ 4,068 | ★ 18 |
| 30d uses | 10,239 | — |
| Score | 84 | 37 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | AI / LLM ToolsDeveloper ToolsOther |
| Language | TypeScript | Python |
| Last commit | this month | 8 mo ago |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
ollama-mcp-example · Summary
A beginner-friendly example demonstrating MCP server and client implementation with Ollama.
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
ollama-mcp-example · Use cases
- Learning MCP implementation from scratch
- Understanding how MCP servers and clients interact
- Creating reusable, model-agnostic tools for LLM applications
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"]
}
}
}ollama-mcp-example · Install
Installation
- Clone the repository:
git clone https://github.com/kirillsaidov/ollama-mcp-example.git
cd ollama-mcp-example- Create a virtual environment and install dependencies:
python3 -m venv venv
./venv/bin/pip install -r requirements.txt- Run the server and client:
# Start MCP server
./venv/bin/python mcp_server.py
# Run MCP client
./venv/bin/python mcp_client.pyFor Claude Desktop integration, add this to your config.json:
{
"mcpServers": {
"ollama-mcp": {
"command": "python",
"args": ["mcp_server.py"],
"env": {
"PYTHONPATH": "."
}
}
}
}