# Modal (Serverless Python)

> Use this tool when you need to deploy and run Python scripts in a serverless cloud environment, solving problems such as distributed computing and data processing pipelines. It provides a streamlined interface for script deployment, execution, and result retrieval, taking Python code as input and returning execution results as output. Ideal for AI applications requiring scalable computing resources, this tool allows for on-demand execution of Python code without server management.

Canonical page: https://skillsregistry.net/skills/flux159-modal-serverless-python  
JSON: https://api.skillsregistry.net/v1/skills/flux159-modal-serverless-python

## Description

This Modal MCP server, developed by the Server Modal team, enables deployment of Python scripts to Modal's serverless compute platform. It integrates with Modal's API to provide a streamlined interface for running code in the cloud. The server abstracts the complexities of Modal's infrastructure, offering operations for script deployment, execution, and result retrieval. By connecting AI systems with Modal's scalable computing resources, this implementation allows for on-demand execution of Python code without managing servers. It is particularly useful for AI applications requiring distributed computing, data processing pipelines, or any system that needs to run Python scripts efficiently in a cloud environment.

## 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:** cloud-infra
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/flux159-modal-serverless-python)
- **Repository:** <https://github.com/flux159/mcp-server-modal>

## 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": "flux159-modal-serverless-python"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/flux159-modal-serverless-python` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/flux159-modal-serverless-python/pull`

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