MCP Server for Splunk

# Splunk MCP Server Environment Configuration # Copy this file to .env and update with your Splunk instance details # Splunk Connection Settings SPLUNK_HOST=so1 SPLUNK_PORT=8089 SPLUNK_USERNAME=admin SPLUNK_PASSWORD=Chang3d! SPLUNK_VERIFY_SSL=false # Optional: Splunk Image for docker-compose SPLUNK_IMAGE=splunk/splunk:latest # MCP Server Settings (optional overrides) MCP_SERVER_HOST=0.0.0.0 MCP_SERVER_PORT=8003 MCP_LOG_LEVEL=INFO MCP_SERVER_MODE=docker MCP_HOT_RELOAD=true # Executed Workflows Storage # Directory for latest executed workflows per (session_id, workflow_id) EXECUTED_WORKFLOWS_DIR=./data/executed_workflows # TTL for executed workflow records (seconds). Default 86400 (24h) EXECUTED_WORKFLOWS_TTL_SECONDS=86400 # OpenAI Agent Settings OPENAI_API_KEY=your_openai_api_key_here OPENAI_MODEL=gpt-4o OPENAI_TEMPERATURE=0.7 OPENAI_MAX_TOKENS=4000 OPENAI_TRACES_BASE_URL="https://platform.openai.com/logs/trace" # OpenAI Rate Limiting & Retry Configuration # Automatically handles rate limits with exponential backoff OPENAI_MAX_RETRIES=3 OPENAI_RETRY_BASE_DELAY=1.0 OPENAI_RETRY_MAX_DELAY=60.0 OPENAI_RETRY_EXPONENTIAL_BASE=2.0 OPENAI_RETRY_JITTER=true