Modal (Serverless Python)
An MCP server for deploying Python scripts based on Modal
rating : 2.5 points
downloads : 25
What is Modal Server MCP?
Modal Server MCP is a tool that allows users to easily deploy Python scripts to the Modal platform. It simplifies the process of creating and running cloud-based AI applications.How to use Modal Server MCP?
Simply provide a Python script, and Modal Server MCP will automatically generate the required configuration and start the application for you. Once completed, you will get a link to test and share your application.Applicable scenarios
Suitable for enterprises and individual developers who need to quickly build and deploy AI models or scripts.Main features
Automatic deploymentQuickly deploy Python scripts to the cloud without manual configuration.
Multi-environment supportSupports multiple operating systems and hardware configurations to ensure optimal performance.
Sharing and collaborationThe generated application can be easily shared with team members via a link.
Advantages and limitations
Advantages
Easy to use, suitable for beginners and professionals
Powerful cloud infrastructure support
Limitations
Requires a certain level of network connection
Some advanced features may require additional payment
How to use
Install dependencies
Ensure that the Modal toolkit is installed and the initialization settings are completed.
Edit the configuration file
Edit the configuration file in the Claude desktop application and add the Modal Server and file system services.
Start the service
Use the Inspector tool to start the Modal Server MCP service.
Usage examples
Case title: Text generation modelDeploy a simple text generation model for generating marketing copy.
Case title: Image processingCreate an image processing application that supports cropping and filter effects.
Frequently Asked Questions
How to start using Modal Server MCP?
Does it support custom scripts?
Related resources
Official documentation
Learn more about the features and APIs of the Modal platform.
GitHub repository
Access the project's source code and contribution guidelines.
Featured MCP Services

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
141
4.5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
87
4.3 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
567
5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
754
4.8 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points