Vertex AI MCP Server

# Environment variables for vertex-ai-mcp-server # --- Required --- # REQUIRED only if AI_PROVIDER is "vertex" GOOGLE_CLOUD_PROJECT="YOUR_GCP_PROJECT_ID" # REQUIRED only if AI_PROVIDER is "gemini" GEMINI_API_KEY="YOUR_GEMINI_API_KEY" # Get from Google AI Studio # --- General AI Configuration --- AI_PROVIDER="vertex" # Provider to use: "vertex" or "gemini" # Optional - Model ID depends on the chosen provider VERTEX_MODEL_ID="gemini-2.5-pro-exp-03-25" # e.g., gemini-1.5-pro-latest, gemini-1.0-pro GEMINI_MODEL_ID="gemini-2.5-pro-exp-03-25" # e.g., gemini-2.5-pro-exp-03-25, gemini-pro # --- Optional AI Parameters (Common) --- # GOOGLE_CLOUD_LOCATION is specific to Vertex AI GOOGLE_CLOUD_LOCATION="us-central1" AI_TEMPERATURE="0.0" # Range: 0.0 to 1.0 AI_USE_STREAMING="true" # Use streaming responses: "true" or "false" AI_MAX_OUTPUT_TOKENS="65536" # Max tokens in response (Note: Models have their own upper limits) AI_MAX_RETRIES="3" # Number of retries on transient errors AI_RETRY_DELAY_MS="1000" # Delay between retries in milliseconds # --- Optional Vertex AI Authentication --- # Uncomment and set if using a Service Account Key instead of Application Default Credentials (ADC) for Vertex AI # GOOGLE_APPLICATION_CREDENTIALS="/path/to/your/service-account-key.json"