mathematica-mcp-full 0.8.1

Full GUI control of Mathematica notebooks and kernel via Model Context Protocol

Mathematica MCP

Give your AI Agent the power of Wolfram Language.

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Who This Is For

Audience	Use Case
Researchers using LLM coding assistants	Run Mathematica from Claude/Cursor/VS Code without leaving your editor
Data scientists	Import, transform, and visualize data through natural language
Educators	Create interactive Mathematica notebooks through AI conversation
Not for	Production web services, untrusted multi-tenant environments

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What is this?

An MCP Server that gives AI agents a direct interface to your local Wolfram Engine. 79 tools across configurable profiles for symbolic reasoning, visualization, and notebook control.

Watch it in action

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Quick Start

Prerequisites

Before installing, you need:

1. Mathematica 14.0+ with wolframscript in your PATH

   • Download Mathematica
   • macOS: Add to ~/.zshrc: export PATH="/Applications/Mathematica.app/Contents/MacOS:$PATH"

2. uv package manager

   curl -LsSf https://astral.sh/uv/install.sh | sh
   

One-Command Setup (Recommended)

# For Claude Desktop
uvx mathematica-mcp-full setup claude-desktop

# For Cursor
uvx mathematica-mcp-full setup cursor

# For VS Code (requires GitHub Copilot Chat extension)
uvx mathematica-mcp-full setup vscode

# For OpenAI Codex CLI
uvx mathematica-mcp-full setup codex

# For Google Gemini CLI
uvx mathematica-mcp-full setup gemini

# For Claude Code CLI
uvx mathematica-mcp-full setup claude-code

# Optional: select a tool profile (default is "full")
uvx mathematica-mcp-full setup claude-desktop --profile notebook

Then restart Mathematica and your editor. Done!

VS Code: Alternative setup via Command Palette

Prerequisite: GitHub Copilot Chat extension must be installed - MCP support is built into Copilot.

1. Press Cmd+Shift+P (Mac) / Ctrl+Shift+P (Windows)
2. Type "MCP" → Select "MCP: Add Server"
3. Choose "Command (stdio)" — not "pip"
4. Enter command: uvx
5. Enter args: mathematica-mcp-full
6. Name it: mathematica
7. Choose scope: Workspace or User

Alternative: Interactive Installer

bash <(curl -sSL https://raw.githubusercontent.com/AbhiRawat4841/mathematica-mcp/main/install.sh)

Verify Installation

uvx mathematica-mcp-full doctor

Tip: If you encounter errors after updating, clear the cache:

uv cache clean mathematica-mcp-full && uvx mathematica-mcp-full setup <client>

Tool Profiles

Choose how many tools to expose: math (~25 tools), notebook (~45), or full (~79, default). Pass --profile during setup or set MATHEMATICA_PROFILE env var. See the Technical Reference for details.

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Manual Installation

Click to expand manual setup instructions

1. Clone & Install:

   git clone https://github.com/AbhiRawat4841/mathematica-mcp.git
   cd mathematica-mcp
   uv sync
   

2. Install Mathematica Addon:

   wolframscript -file addon/install.wl
   

   Restart Mathematica after this step.

3. Configure your editor (replace path with your actual path):

   Note: GUI apps like Claude Desktop may not inherit your shell PATH. Use the absolute path from which uv or let uvx mathematica-mcp-full setup <client> write it for you automatically.

   Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):

   {
     "mcpServers": {
       "mathematica": {
         "command": "/ABSOLUTE/PATH/TO/uv",
         "args": ["--directory", "/path/to/mathematica-mcp", "run", "mathematica-mcp-full"]
       }
     }
   }
   

   Cursor (~/.cursor/mcp.json):

   {
     "mcpServers": {
       "mathematica": {
         "command": "/ABSOLUTE/PATH/TO/uv",
         "args": ["--directory", "/path/to/mathematica-mcp", "run", "mathematica-mcp-full"]
       }
     }
   }
   

   VS Code (~/.vscode/mcp.json):

   Note: VS Code MCP requires GitHub Copilot Chat extension.

   {
     "servers": {
       "mathematica": {
         "type": "stdio",
         "command": "/ABSOLUTE/PATH/TO/uv",
         "args": ["--directory", "/path/to/mathematica-mcp", "run", "mathematica-mcp-full"]
       }
     }
   }
   

📖 See the Installation Guide for troubleshooting and advanced setup.

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What You Can Do

1. Solve and Verify a Calculus Problem

"Integrate x^2 sin(x) from 0 to pi, then verify by differentiating."

Agent calls: execute_code("Integrate[x^2 Sin[x], {x, 0, Pi}]")
=> -4 + Pi^2

Agent calls: verify_derivation(
  steps=["Integrate[x^2 Sin[x], {x, 0, Pi}]", "-4 + Pi^2"]
)
=> {"success": true, "report": "Step 1 → 2: ✓ VALID\n...\n**Summary**: All steps are valid!", "raw_data": {...}, "format": "text"}

2. Generate a 3D Plot

"Plot the sombrero function and export it."

Agent calls: execute_code("Plot3D[Sinc[Sqrt[x^2 + y^2]], {x, -4, 4}, {y, -4, 4}]")
=> [3D surface plot rendered as image]

Agent calls: export_graphics("Plot3D[Sinc[Sqrt[x^2+y^2]], {x,-4,4}, {y,-4,4}]", "/tmp/sombrero.png", "PNG")

3. Read and Analyze a Notebook

"Show me the outline of SinPlot.nb, then extract the code cells."

Agent calls: read_notebook("SinPlot.nb", output_format="outline")
=> {"success": true, "format": "outline", "section_count": 0, "sections": []}

Agent calls: read_notebook("SinPlot.nb", output_format="json")
=> {"success": true, "cell_count": 2, "code_cells": 1, "cells": [{"style": "Input", "content": "Plot[Sin[x], {x, 0, 2 Pi}]"}, ...]}

Beyond these workflows: symbolic computation, 2D/3D visualization, notebook operations, Wolfram Alpha queries, data import/export (250+ formats), and debugging tools. See the Technical Reference for the full tool list.

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Execution Styles

For chat users — use keywords in your prompt

Say this...	What happens
"calculate ...", "compute ...", "what is ..."	Result appears as text in chat
"plot ...", "show ...", "in notebook ..."	Executes in the current Mathematica notebook
"in new notebook: ..."	Creates a fresh notebook, then executes there
"interactive ...", "manipulate ...", "dynamic ..."	Live front-end evaluation (sliders, animations)

For tool callers — use the style parameter

style=	output_target	mode	Best for
"compute"	cli	kernel	Math, algebra, parsing results
"notebook"	notebook	kernel	Plots, visual artifacts
"interactive"	notebook	frontend	Manipulate, Dynamic, animations

style is a high-level shortcut for output_target + mode. Individual params still work and override style.

Note: There is no style="new_notebook". Creating a fresh notebook is a two-step workflow: create_notebook(title="...") then execute_code(style="notebook").

Examples

"Calculate the integral of x^3 from 0 to 1"
  → Result appears inline in chat

"Plot Sin[x] from 0 to 2π"
  → Plot appears in current Mathematica notebook

"In new notebook: integrate 1/x^5 + x^7 and plot the integration region"
  → Fresh notebook is created with the work

"Interactive: Manipulate a slider for Plot[Sin[n x], {x, 0, 2π}]"
  → Dynamic UI with sliders in notebook

If you don't include a keyword, the default mode depends on your tool profile: notebook profiles default to notebook output, math profile defaults to inline.

Built-in MCP Prompts

Some MCP clients (Claude Desktop, Cursor, etc.) can list prompts from the server — pre-built templates that fill in the right parameters for you. This server registers five prompts:

Prompt	What it does
calculate	Pre-fills style="compute" for inline math results
notebook	Pre-fills style="notebook" for notebook execution
new_notebook	Creates a fresh notebook, then executes there
interactive	Pre-fills style="interactive" for Manipulate/Dynamic
quickstart	Shows the full execution styles reference table

How to access them: In Claude Desktop, click the prompt icon (chat bubble with +) at the bottom of the input box. In Cursor, use the MCP prompt picker. Not all clients support prompt selection — if yours doesn't, just use the keywords above in your message instead.

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Documentation

• Technical Reference — Architecture, tools, and configuration
• Security Model — Threat model, permissions, and vulnerability reporting
• Benchmarks — Performance data and reproduction steps
• Contributing — Development setup, testing, and PR process
• Changelog — Version history
• Examples — Polished agent session walkthroughs

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License

MIT License