NumPy

v0.1.0Data Science & MLstable

An MCP server that exposes NumPy functionality

io-github-daedalus-mcp-numpymcpai-integration
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What is NumPy?

NumPy is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server that exposes numpy functionality

An MCP server that exposes NumPy functionality

This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • An MCP server that exposes NumPy functionality

Use Cases

Perform numerical computations and array operations.
Execute complex mathematical and statistical calculations.
Community

Maintainer

LicenseMIT
Languagepython
Versionv0.1.0
UpdatedMar 30, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

PIP

pip install mcp-numpy

Manual Installation

pip install mcp-numpy

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about NumPy

What is NumPy?

NumPy is a Model Context Protocol (MCP) server that mcp server that exposes numpy functionality It connects AI assistants to external tools and data sources through a standardized interface.

How do I install NumPy?

Install via pip with: pip install mcp-numpy. Then configure your AI client to connect to this MCP server.

Which AI clients work with NumPy?

NumPy works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is NumPy free to use?

Yes, NumPy is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

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Explore all data science & ml servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "io-github-daedalus-mcp-numpy": { "command": "pip", "args": ["install", "mcp-numpy"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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