# Modal MCP Server

> Use this tool when you need to manage and deploy AI applications on Modal.com infrastructure, solving problems related to containerization, environment management, and secret storage. It connects AI agents to Modal.com, allowing for seamless management of deployments, apps, and resources. The tool accepts inputs via MCP tools and outputs managed infrastructure and application configurations.

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

## Description

Connects AI agents to Modal.com infrastructure, allowing management of deployments, apps, containers, volumes, secrets, and environments via MCP tools.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/geelrz9i9o)
- **Repository:** <https://github.com/Braullynn/modal-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": "braullynn-modal-mcp"
    }
  }
}
```

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