# Modal

> Use this tool when you need to deploy serverless applications in the cloud or execute functions within those apps with custom parameters. Modal MCP Server solves problems related to cloud-based computation and serverless function execution, providing a standardized API for AI agents to interact with the Modal platform. It accepts deployment requests and function execution inputs, returning outputs through a FastAPI-based interface, ideal for workflows requiring seamless cloud integration.

Canonical page: https://skillsregistry.net/skills/smehmood-modal  
JSON: https://api.skillsregistry.net/v1/skills/smehmood-modal

## Description

Modal MCP Server provides tools for interacting with Modal, a platform for running serverless applications in the cloud. It enables AI agents to deploy Modal applications and run functions within those apps through a standardized API. The server exposes two main tools: deploying Modal apps to the cloud and executing functions within those apps with custom parameters. Built with FastAPI, it handles the communication between AI assistants and the Modal platform, making it valuable for workflows that require cloud-based computation or serverless function execution without leaving the conversation interface.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

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

## 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": "smehmood-modal"
    }
  }
}
```

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