ds-mcp-server
Provides data science, plotting, statistics, system, and web tools via MCP, with interactive CLI clients for OpenAI-compatible and Anthropic providers.
README
ds-mcp-server
ds-mcp-server packages a FastMCP server with data science, plotting, statistics, system, and web tools, plus interactive CLI clients for OpenAI-compatible providers and Anthropic Claude.
Installation
Future PyPI install:
pip install ds-mcp-server
Local development install:
pip install -e .
Optional extras:
pip install -e ".[anthropic]"
pip install -e ".[playwright]"
pip install -e ".[all]"
Quick start
- Copy
.env.exampleto.env. - Fill in your provider settings.
- Install the package.
- Start either the MCP server or the interactive client.
OpenAI
export PROVIDER=openai
export API_KEY=sk-...
export MODEL=gpt-4o
ds-mcp-client
Claude / Anthropic
export PROVIDER=anthropic
export ANTHROPIC_API_KEY=sk-ant-...
export MODEL=claude-opus-4-5
ds-mcp-client
Gemini (OpenAI-compatible endpoint)
export PROVIDER=gemini
export API_KEY=AIza...
export MODEL=gemini-2.0-flash
ds-mcp-client
Ollama
export PROVIDER=ollama
export API_BASE_URL=http://localhost:11434/v1
export MODEL=llama3
ds-mcp-client
GPUStack / LM Studio / other OpenAI-compatible servers
export PROVIDER=openai-compat
export API_BASE_URL=https://your-endpoint.example/v1
export API_KEY=your-key
export MODEL=your-model
ds-mcp-client
Running the MCP server
ds-mcp-server
Claude Desktop MCP config
Add the server to your Claude Desktop MCP configuration:
{
"mcpServers": {
"ds-mcp-server": {
"command": "ds-mcp-server",
"args": []
}
}
}
Environment variables
| Variable | Required | Description |
|---|---|---|
PROVIDER |
No | One of openai, anthropic, gemini, ollama, openai-compat. |
API_KEY |
Usually | Generic API key used by OpenAI-compatible providers and as a fallback for Anthropic. |
ANTHROPIC_API_KEY |
Anthropic only | Preferred Anthropic key. |
API_BASE_URL |
Sometimes | Required for openai-compat; optional override for Ollama, Gemini, or self-hosted endpoints. |
MODEL |
No | Model override. Defaults are provider-specific. |
Available tools
Interactive plots
plot_interactive_histogramplot_interactive_scatterplotplot_interactive_boxplotplot_interactive_lineplotplot_interactive_barchartplot_interactive_scatter_matrixplot_interactive_correlation_heatmapgenerate_custom_plotlyget_all_columns_summaryget_column_summary
Static plots
plot_static_histogramplot_static_scatterplotplot_static_boxplotplot_static_lineplotplot_static_barchartplot_static_pairplotplot_static_correlation_heatmapplot_static_wordcloudgenerate_custom_static_plot
Statistical analysis
run_correlationrun_group_comparisonrun_linear_regressionrank_target_correlations
System tools
run_shell_commandread_filewrite_filepatch_filelist_directoryfind_in_filesrun_background_processstop_background_processlist_background_processeshttp_request
Web tools
search_webfetch_webpagescreenshot_webpage
Requirements
- Python 3.11+
mcppandas,numpyplotly,matplotlib,seaborn,wordcloudpingouin,statsmodelsbeautifulsoup4,ddgsopenaianthropic(optional)playwright(optional, for screenshots)
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。