What dependencies does Vercel MCP Server require?
Python packages: `requests`, `rich`, and `fastmcp`.
@jasona7
Basic information
An MCP Compliant Server that defines 9 tools for working with Vercel deployment data.
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
A Python-based tool that uses the Model Context Protocol (MCP) to provide a structured, AI-friendly interface for interacting with the Vercel API. It allows both humans and AI assistants to manage Vercel resources through a terminal-based client or programmatic server.
Clone the repository, install dependencies (pip install requests rich fastmcp), and set the VERCEL_TOKEN environment variable. Start the server with python mcp_vercel_server.py or the interactive client with python mcp_vercel_client.py.
Python packages: `requests`, `rich`, and `fastmcp`.
Set the `VERCEL_TOKEN` environment variable to your Vercel API token before running the server or client.
Yes, the server communicates directly with Vercel's REST API over the internet.
No. The README only documents authentication via the `VERCEL_TOKEN` environment variable.
Projects, deployments, project domains, environment variables, deployment aliases, and user account information.
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