Vertex AI MCP Server

# Smithery configuration file: https://smithery.ai/docs/config#smitheryyaml startCommand: type: stdio configSchema: # JSON Schema defining the configuration options for the MCP. type: object required: - googleCloudProject - googleCloudLocation properties: googleCloudProject: type: string description: Google Cloud Project ID googleCloudLocation: type: string description: Google Cloud Location googleApplicationCredentials: type: string description: Path to service account key JSON vertexAiModelId: type: string default: gemini-2.5-pro-exp-03-25 description: Vertex AI Model ID vertexAiTemperature: type: number default: 0 description: Temperature for model vertexAiUseStreaming: type: boolean default: true description: Whether to use streaming vertexAiMaxOutputTokens: type: number default: 65535 description: Max output tokens vertexAiMaxRetries: type: number default: 3 description: Max retry attempts vertexAiRetryDelayMs: type: number default: 1000 description: Delay between retries in ms commandFunction: # A JS function that produces the CLI command based on the given config to start the MCP on stdio. |- (config) => ({ command: 'node', args: ['build/index.js'], env: { ...(config.googleCloudProject && { GOOGLE_CLOUD_PROJECT: config.googleCloudProject }), ...(config.googleCloudLocation && { GOOGLE_CLOUD_LOCATION: config.googleCloudLocation }), ...(config.googleApplicationCredentials && { GOOGLE_APPLICATION_CREDENTIALS: config.googleApplicationCredentials }), ...(config.vertexAiModelId && { VERTEX_AI_MODEL_ID: config.vertexAiModelId }), ...(config.vertexAiTemperature !== undefined && { VERTEX_AI_TEMPERATURE: String(config.vertexAiTemperature) }), ...(config.vertexAiUseStreaming !== undefined && { VERTEX_AI_USE_STREAMING: String(config.vertexAiUseStreaming) }), ...(config.vertexAiMaxOutputTokens !== undefined && { VERTEX_AI_MAX_OUTPUT_TOKENS: String(config.vertexAiMaxOutputTokens) }), ...(config.vertexAiMaxRetries !== undefined && { VERTEX_AI_MAX_RETRIES: String(config.vertexAiMaxRetries) }), ...(config.vertexAiRetryDelayMs !== undefined && { VERTEX_AI_RETRY_DELAY_MS: String(config.vertexAiRetryDelayMs) }) } }) exampleConfig: googleCloudProject: my-gcp-project googleCloudLocation: us-central1 googleApplicationCredentials: /path/to/credentials.json vertexAiModelId: gemini-2.5-pro-exp-03-25 vertexAiTemperature: 0 vertexAiUseStreaming: true vertexAiMaxOutputTokens: 65535 vertexAiMaxRetries: 3 vertexAiRetryDelayMs: 1000