Modal MCP Server

Modal MCP Server is an MCP server that integrates Modal cloud infrastructure operations into Model Context Protocol clients like Cursor. It connects directly to the Modal command-line interface, enabling developers and machine learning engineers to manage distributed cloud storage and deploy serverless applications without leaving their code editor. Through standardized tool interfaces, the server exposes operations for listing, exploring, and modifying files stored inside Modal volumes. Users can transfer assets, create directories, duplicate data, or remove remote files programmatically via chat prompts. Additionally, it provides deployment capabilities, allowing users to trigger application deployments for local Python files using Modal environments managed by uv. The server normalizes responses into consistent JSON and execution output objects, making remote cloud development workflows easier to monitor, debug, and automate from within AI-assisted development environments.

Category: Cloud & Infrastructure

Tags: cloud, deployment, modal, serverless, volumes

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How to install and configure Modal MCP Server

1. Clone the repository to your local machine: bash git clone https://github.com/smehmood/modal-mcp-server.git cd modal-mcp-server 2. Install dependencies using uv: bash uv sync 3. Ensure Python 3.11+ is installed and your local Modal CLI is configured with valid credentials. 4. Open your Cursor MCP configuration file (~/.cursor/mcp.json) and add the server entry under mcpServers: json { "mcpServers": { "modal-mcp-server": { "command": "uv", "args": [ "--project", "/path/to/modal-mcp-server", "run", "/path/to/modal-mcp-server/src/modal_mcp/server.py" ] } } } Replace /path/to/modal-mcp-server with your cloned repository path.

What you can do with Modal MCP Server

• Deploy serverless Modal applications directly from local Python files inside your AI development environment. - Inspect, list, and verify cloud files or directories stored inside active Modal volumes using natural language prompts. - Upload datasets, configuration files, and local artifacts directly to specific paths within remote Modal volumes. - Download remote outputs, log files, or model weights from Modal volumes to local directories or standard output. - Manage volume maintenance by copying internal paths or recursively deleting obsolete files from storage.

Key facts

• Freemium
• https://github.com/smehmood/modal-mcp-server
• Cloud & Infrastructure, Files, Documents & PDFs
• cloud, deployment, modal, serverless, volumes

Part of MCP Servers

How do I install Modal MCP Server?

Clone the GitHub repository locally and run uv sync to install the required dependencies. Ensure you have Python 3.11 or higher and an authenticated Modal CLI. Then add the server definition pointing to your uv executable and script path into your ~/.cursor/mcp.json file.

What can Modal MCP Server do?

The server enables listing volumes, browsing directory contents, copying files within volumes, uploading local files, downloading volume contents, and deleting remote files. It also allows deploying Modal applications from local file paths provided the target project uses uv and has the modal CLI installed.

Which MCP clients work with Modal MCP Server?

Modal MCP Server is specifically documented for configuration in Cursor using its ~/.cursor/mcp.json file. However, because it follows standard Model Context Protocol specifications over stdio, it can also run with other standard MCP-compliant clients.

What are the requirements for deploying Modal apps?

To deploy an application using the deploy_modal_app tool, your project must use uv for Python dependency management, and the modal CLI package must be installed directly inside that specific project virtual environment.

Is Modal MCP Server open source?

Yes, Modal MCP Server is open-source software licensed under the MIT License, and its source code is accessible on GitHub.