# Codeinterpreter

```json
{
  "name": "Codeinterpreter",
  "slug": "codeinterpreter",
  "url": "https://composio.dev/toolkits/codeinterpreter",
  "markdown_url": "https://composio.dev/toolkits/codeinterpreter.md",
  "logo_url": "https://logos.composio.dev/api/codeinterpreter",
  "categories": [
    "developer tools & devops"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-05-06T08:06:43.629Z"
}
```

![Codeinterpreter logo](https://logos.composio.dev/api/codeinterpreter)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Codeinterpreter MCP or direct API to run Python scripts, analyze datasets, generate plots, and prototype code—all through natural language.

## Summary

Codeinterpreter is a Python-based coding environment with built-in data analysis and visualization. It lets you instantly run scripts, plot results, and prototype solutions inside supported platforms.

## Categories

- developer tools & devops

## Toolkit Details

- Tools: 5

## Images

- Logo: https://logos.composio.dev/api/codeinterpreter

## Authentication

- **No Auth**
  - Type: `custom`
  - Description: No Auth authentication for Code Interpreter.
  - Setup:
    - Configure No Auth credentials for Code Interpreter.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Run this Python script and show output
- Generate a line chart from my CSV file
- Upload a dataset and summarize key stats
- Execute shell command to list directory files

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `CODEINTERPRETER_CREATE_SANDBOX` | Create Sandbox | Create a sandbox to execute python code in a jupyter notebook cell. this is useful for agents to communicate, execute code, see output, read files, write files, etc. it's like you own personal computer, but in the cloud. use /home/user folder to write/read files. |
| `CODEINTERPRETER_EXECUTE_CODE` | Execute Code | Execute python code in a sandbox and return any result, stdout, stderr, and error. use /home/user folder to write/read files. try to not use plt.show() as the code is executed remotely. use files for image/chart output instead. |
| `CODEINTERPRETER_GET_FILE_CMD` | Get File | Get a file from the sandbox and returns the file. the files should be read from /home/user folder. |
| `CODEINTERPRETER_RUN_TERMINAL_CMD` | Run Terminal Command | Run a command in the terminal and returns the stdout, stderr, and error code. use /home/user folder to write/read files. |
| `CODEINTERPRETER_UPLOAD_FILE_CMD` | Upload File | Upload a file to the sandbox environment. the files should be uploaded to the /home/user folder. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK
```python
pip install composio_openai
```

```typescript
npm install @composio/openai
```

#### Path 1, Step 2: Initialize Composio and Create Tool Router Session

Import and initialize Composio client, then create a Tool Router session
```python
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
openai = OpenAI()
session = composio.create(user_id='your-user-id')
```

```typescript
import OpenAI from 'openai';
import { Composio } from '@composio/core';
import { OpenAIResponsesProvider } from '@composio/openai';

const composio = new Composio({
  provider: new OpenAIResponsesProvider(),
});
const openai = new OpenAI({});
const session = await composio.create('your-user-id');
```

#### Path 1, Step 3: Execute Codeinterpreter Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute Codeinterpreter actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'Run a Python script to generate and plot a random dataset.'
  }]
)
result = composio.provider.handle_tool_calls(
  response=response,
  user_id='your-user-id'
)
print(result)
```

```typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'Run a Python script to generate and plot a random dataset.'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK and Claude Agent SDK
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
```

#### Path 2, Step 2: Create Tool Router Session

Initialize the Composio client and create a Tool Router session
```python
from composio import Composio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions

composio = Composio(api_key='your-composio-api-key')
session = composio.create(user_id='your-user-id')
url = session.mcp.url
```

```typescript
import { Composio } from '@composio/core';

const composio = new Composio({ apiKey: 'your-api-key' });

console.log("Creating Tool Router session...");
const { mcp } = await composio.create('your-user-id');
console.log(`Tool Router session created: ${mcp.url}`);
```

#### Path 2, Step 3: Connect to AI Agent

Use the MCP server with your AI agent
```python
import asyncio

options = ClaudeAgentOptions(
    permission_mode='bypassPermissions',
    mcp_servers={
        'tool_router': {
            'type': 'http',
            'url': url,
            'headers': {
                'x-api-key': 'your-composio-api-key'
            }
        }
    },
    system_prompt='You are a helpful assistant with access to Codeinterpreter tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('Execute Python script to plot a bar chart from sample data')
        async for message in client.receive_response():
            if hasattr(message, 'content'):
                for block in message.content:
                    if hasattr(block, 'text'):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { openai } from '@ai-sdk/openai';
import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp';
import { generateText, stepCountIs } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: mcp.url,
    headers: { 'x-api-key': 'your-composio-api-key' }
  }
});

const tools = await client.tools();

const { text } = await generateText({
  model: openai('gpt-4o'),
  tools,
  messages: [{ role: 'user', content: 'Execute Python script to plot a bar chart from sample data' }],
  stopWhen: stepCountIs( 5 )
});

console.log(`Agent: ${text}`);
```

## Why Use Composio?

### 1. AI Native Codeinterpreter Integration

- Supports both Codeinterpreter MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable tool execution
- Rich coverage for running scripts, analyzing data, and visualizing results

### 2. Managed Auth

- Zero setup—Codeinterpreter uses no authentication for seamless onboarding
- Central place to manage, scope, and monitor access
- Per user and per environment isolation, no shared credentials

### 3. Agent Optimized Design

- Tools tuned using real error and success rates for reliability
- Comprehensive logs track code execution and outputs for every run

### 4. Enterprise Grade Security

- Fine-grained RBAC to control which agents and users can execute code
- Scoped, sandboxed code execution environments
- Full audit trail of agent code runs and data access

## Use Codeinterpreter with any AI Agent Framework

Choose a framework you want to connect Codeinterpreter with:

- [OpenAI Agents SDK](https://composio.dev/toolkits/codeinterpreter/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/codeinterpreter/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/codeinterpreter/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/codeinterpreter/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/codeinterpreter/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/codeinterpreter/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/codeinterpreter/framework/hermes-agent)
- [Google ADK](https://composio.dev/toolkits/codeinterpreter/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/codeinterpreter/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/codeinterpreter/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/codeinterpreter/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/codeinterpreter/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/codeinterpreter/framework/crew-ai)
- [Pydantic AI](https://composio.dev/toolkits/codeinterpreter/framework/pydantic-ai)
- [AutoGen](https://composio.dev/toolkits/codeinterpreter/framework/autogen)

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## Frequently Asked Questions

### Do I need my own developer credentials to use Codeinterpreter with Composio?

No developer credentials needed! Codeinterpreter doesn't require authentication, so you can dive right in and start building with Composio—no setup or extra configuration required.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)