Vercel Ai Sdk MCP Project MCP Server

MCP Server for Vercel AI SDK with Figma and magic-mcp integration

Local serverstdioGo

What is the Vercel Ai Sdk MCP Project MCP server?

If you want an AI assistant working directly with Vercel Ai Sdk MCP Project, the vercel ai sdk mcp project mcp server is the bridge. MCP Server for Vercel AI SDK with Figma and magic-mcp integration.

What Vercel Ai Sdk MCP Project does

This repository contains a Model Context Protocol (MCP) server designed to expose capabilities of the Vercel AI SDK Core to AI development environments like Cursor. It allows leveraging features like generateObject, generateText, streamText, and UI generation alongside other MCP servers (like mcp-figma and magic-mcp via Smithery).

Installing the vercel ai sdk mcp project mcp server

Setup follows the standard MCP pattern: clone or install the server, then register it in your client's configuration file and restart the client. The configuration snippets on this page cover Claude Desktop, Claude Code and Cursor.

Configuration

Before the server will start you need to supply 5 environment variables: OPENAI_API_KEY, ANTHROPIC_API_KEY, FIGMA_API_KEY, TWENTY_FIRST_API_KEY, TRANSPORT_TYPE. Keep credentials in your client's env block or a secrets manager rather than committing them.

Requirements

  • Node.js (v20 or later recommended) * npm * Git * Cursor * Smithery Account (for deployment) * API Keys: * OpenAI API Key (Required) * Figma API Key (Required for implementing Figma integration) * 21st Dev API Key (Required for implementing Magic MCP integration)

Where it fits

Cloud and DevOps servers put infrastructure on speaking terms with your assistant, so "why is this broken?" is answered from real state rather than a generic checklist. Vercel Ai Sdk MCP Project sits in that group. Worth comparing against the other cloud devops servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.

Practical notes

  • This server runs locally, so it operates with whatever access your machine and its credentials already have. Scope that deliberately rather than by default.
  • It will not start until its required credentials are present, so set those before wondering why the tools never appear.
  • Maintained by chiziuwaga, written in Go.
  • MCP clients ask for confirmation before each tool call by default. Keep that on while you learn what the vercel ai sdk mcp project mcp server actually does with your data.
  • Every entry in this directory is reviewed by hand before it goes live, and details are checked against the project's own documentation.

How to install the Vercel Ai Sdk MCP Project MCP server

{
      "mcpServers": {
        "magic-mcp": { ... }, // Keep existing Smithery config
        "mcp-figma": { ... }, // Keep existing Smithery config
        "vercel-ai-sdk-mcp": {
          "command": "npx",
          "args": [
            "-y", "@smithery/cli@latest", "run",
            "chiziuwaga/vercel-ai-sdk-mcp-project",
            "--config",
            // Ensure these env vars are available to Cursor
            "{"openaiApiKey":"${OPENAI_API_KEY}", "anthropicApiKey":"${ANTHROPIC_API_KEY}", "figmaApiKey":"${FIGMA_API_KEY}", "twentyFirstApiKey":"${TWENTY_FIRST_API_KEY}", "transportType":"stdio"}"
          ]
        }
      }
    }

Configuration as documented by the project. Restart the client after saving.

Configuration

  • Node.js (v20 or later recommended) * npm * Git * Cursor * Smithery Account (for deployment) * API Keys: * OpenAI API Key (Required) * Figma API Key (Required for implementing Figma integration) * 21st Dev API Key (Required for implementing Magic MCP integration)
VariableDescriptionRequired
OPENAI_API_KEYCredential the server authenticates with.Yes
ANTHROPIC_API_KEYCredential the server authenticates with.Yes
FIGMA_API_KEYCredential the server authenticates with.Yes
TWENTY_FIRST_API_KEYCredential the server authenticates with.Yes
TRANSPORT_TYPEConfiguration value read at startup.Optional

Frequently asked questions

It connects Vercel Ai Sdk MCP Project to MCP-compatible AI assistants such as Claude and Cursor. Instead of copying data back and forth by hand, the assistant works with Vercel Ai Sdk MCP Project directly.