What are the prerequisites for running the server?
Python 3.8+, Ollama installed and running, and Claude Desktop installed. A lightweight Ollama model such as `qwen2:0.5b` is recommended.
@xoniks
基本信息
Transform natural language into beautiful, interactive data visualizations. This server uniquely integrates powerful technologies like DuckDB, Ollama, and Plotly, streamlining complex data analysis workflows into a single, conversational experience within the Model Context Protoc
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"data-viz-server": {
"command": "C:/Github/mcp-visualization-duckdb/.venv/Scripts/python.exe",
"args": [
"C:/Github/mcp-visualization-duckdb/mcp_server.py"
],
"cwd": "C:/Github/mcp-visualization-duckdb",
"env": {
"DUCKDB_DATABASE_PATH": "C:/Github/mcp-visualization-duckdb/data/mcp.duckdb",
"PYTHONIOENCODING": "utf-8"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A Model Context Protocol server that transforms natural language into interactive data visualizations using DuckDB for data storage, Plotly for chart generation, and Ollama for local LLM processing. It integrates with Claude Desktop to let users manage databases, analyze data, and create charts through conversational commands.
Install Python 3.8+, Ollama, and Claude Desktop. Clone the repository, create a virtual environment, install dependencies (mcp, duckdb, pandas, plotly, ollama, etc.), start Ollama, pull a model (e.g., qwen2:0.5b), and add the server configuration to Claude Desktop’s claude_desktop_config.json. Restart Claude Desktop and chat using natural language requests.
Python 3.8+, Ollama installed and running, and Claude Desktop installed. A lightweight Ollama model such as `qwen2:0.5b` is recommended.
Data is stored in local DuckDB database files (`.duckdb`). All processing happens on your machine; no data is sent to external services.
No. The LLM runs locally via Ollama, and all database operations are local. An internet connection is only needed for initial installation of dependencies or pulling an Ollama model.
Bar, line, scatter, pie, histogram, box, heatmap, and area charts. Chart type suggestions and guided configuration are available through natural language.
Use natural language commands like “Switch to in-memory database” or “Connect to C:/path/to/database.duckdb”, or use the `browse_databases` and `change_database` tools.

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