Nextcloud MCP Server

# CI-specific overrides for RAG evaluation pipeline # This file is used by the rag-evaluation.yml workflow to configure the MCP # container with OpenAI/GitHub Models API for vector embeddings. # # Usage: # docker compose -f docker-compose.yml -f docker-compose.ci.yml up # # Environment variables (set in CI workflow): # OPENAI_API_KEY - API key for embeddings (GitHub Models uses GITHUB_TOKEN) # OPENAI_BASE_URL - API endpoint (e.g., https://models.github.ai/inference) # OPENAI_EMBEDDING_MODEL - Model name (e.g., openai/text-embedding-3-small) # OPENAI_GENERATION_MODEL - Model name for generation (e.g., openai/gpt-4o-mini) services: mcp: environment: # OpenAI provider configuration (required for CI vector sync) - OPENAI_API_KEY=${OPENAI_API_KEY} - OPENAI_BASE_URL=${OPENAI_BASE_URL:-https://models.github.ai/inference} - OPENAI_EMBEDDING_MODEL=${OPENAI_EMBEDDING_MODEL:-openai/text-embedding-3-small} - OPENAI_GENERATION_MODEL=${OPENAI_GENERATION_MODEL:-openai/gpt-4o-mini} # Faster sync for CI - VECTOR_SYNC_SCAN_INTERVAL=${VECTOR_SYNC_SCAN_INTERVAL:-5} # Enable document processing for PDF parsing - ENABLE_DOCUMENT_PROCESSING=true