# Codeinterpreter

> Use this tool when you need to analyze and visualize data within a Python-based coding environment, prototype solutions, and run scripts seamlessly. It solves problems related to data-driven development, rapid prototyping, and integrated data analysis, providing an efficient workflow for developers. The CodeInterpreter takes in Python scripts and data as inputs, and outputs visualized results and executable code, making it ideal for use cases that require iterative development and testing.

Canonical page: https://skillsregistry.net/skills/codeinterpreter  
JSON: https://api.skillsregistry.net/v1/skills/codeinterpreter

## Description

CodeInterpreter extends Python-based coding environments with integrated data analysis, enabling developers to run scripts, visualize results, and prototype solutions inside supported platforms

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-12

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/codeinterpreter)

## 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": "codeinterpreter"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/codeinterpreter` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/codeinterpreter/pull`

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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