Vercel MCP Server
by jasona7
A Python-based tool for interacting with the Vercel API via a Model Context Protocol (MCP) implementation. It allows AI systems and humans to interact with Vercel's API in a structured way.
Last updated: N/A
What is Vercel MCP Server?
The Vercel MCP Server is a Python application that provides a structured interface to the Vercel API, enabling interaction through a Model Context Protocol (MCP). It includes a REST API integration and an interactive terminal-based UI.
How to use Vercel MCP Server?
First, clone the repository and install the required dependencies using pip. Then, set your Vercel API token as an environment variable. Start the server using python mcp_vercel_server.py. You can then use the MCP client with python mcp_vercel_client.py to interact with the Vercel API through a terminal UI.
Key features of Vercel MCP Server
REST API Integration
Interactive Terminal Client
AI-Friendly Interface
List Vercel projects
List deployments with filtering
Get project information
Use cases of Vercel MCP Server
Automating Vercel deployments
Integrating Vercel with AI assistants
Managing Vercel projects programmatically
Troubleshooting deployments
Monitoring server status
FAQ from Vercel MCP Server
What is MCP?
What is MCP?
MCP stands for Model Context Protocol, a way for AI systems and humans to interact with APIs in a structured way.
How do I get a Vercel API token?
How do I get a Vercel API token?
You can generate a Vercel API token from your Vercel account settings.
What dependencies are required?
What dependencies are required?
The required dependencies are requests, rich, and fastmcp.
Can I contribute to this project?
Can I contribute to this project?
Yes, contributions are welcome! Please open an issue or submit a pull request.
What license is this project under?
What license is this project under?
This project is licensed under the MIT License.