# Wolfram Engine

> Use this tool when you need to perform advanced symbolic and numerical computations or generate visual outputs like plots and charts. It solves problems in fields such as mathematics, science, and engineering by providing a powerful computation engine with role-based access control and secure authentication. Ideal for use cases requiring complex data analysis, algorithm development, or data visualization, with inputs including mathematical expressions and outputs including numerical results and visualizations.

Canonical page: https://skillsregistry.net/skills/siqiliu-tsinghua-wolfram-engine  
JSON: https://api.skillsregistry.net/v1/skills/siqiliu-tsinghua-wolfram-engine

## Description

Exposes a locally installed Wolfram Engine to AI assistants through two tools — evaluate for symbolic and numerical computation and evaluate_image for visual outputs like plots and charts. Supports role-based access control and OAuth 2.1 authentication. Requires a licensed Wolfram Engine or Mathematica installation.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/siqiliu-tsinghua-wolfram-engine)
- **Repository:** <https://github.com/siqiliu-tsinghua/mma-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "siqiliu-tsinghua-wolfram-engine"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/siqiliu-tsinghua-wolfram-engine` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/siqiliu-tsinghua-wolfram-engine/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt