name: vercel-ai-sdk-mcp-project
version: 1.0.0
description: MCP Server for Vercel AI SDK with Figma and magic-mcp integration (using placeholders)
# Defines how to start the command within the Docker container
startCommand:
type: stdio # Default, change to sse if needed
# Defines configuration parameters users can set when running via Smithery
configSchema:
type: object
required:
- openaiApiKey
# Add figmaApiKey and twentyFirstApiKey if you implement those connectors
# - figmaApiKey
# - twentyFirstApiKey
properties:
openaiApiKey:
type: string
description: "Your OpenAI API Key"
anthropicApiKey:
type: string
description: "Your Anthropic API Key (Optional)"
figmaApiKey:
type: string
description: "Your Figma API Key (Required for Figma tools)"
twentyFirstApiKey:
type: string
description: "Your 21st Dev API Key (Required for Magic MCP tools)"
transportType: # Allow configuring transport via Smithery if needed
type: string
enum: ["stdio", "sse"]
default: "stdio"
description: "Transport protocol (stdio for local/Cursor, sse for web)"
port:
type: number
default: 3000
description: "Port number if using SSE transport"
# Dynamically creates the command based on the config
commandFunction: |
(config) => ({
command: 'node',
args: ['dist/index.js'],
# Pass necessary API keys and config from Smithery runner to the container
env: {
OPENAI_API_KEY: config.openaiApiKey,
ANTHROPIC_API_KEY: config.anthropicApiKey || "",
FIGMA_API_KEY: config.figmaApiKey || "",
TWENTY_FIRST_API_KEY: config.twentyFirstApiKey || "",
TRANSPORT_TYPE: config.transportType || "stdio",
PORT: (config.port || 3000).toString()
}
})
