graphiti/mcp_server/docker/docker-compose.yml
Daniel Chalef 21530c6408 feat: MCP Server v1.0.0rc0 - Complete refactoring with modular architecture
This is a major refactoring of the MCP Server to support multiple providers
through a YAML-based configuration system with factory pattern implementation.

## Key Changes

### Architecture Improvements
- Modular configuration system with YAML-based settings
- Factory pattern for LLM, Embedder, and Database providers
- Support for multiple database backends (Neo4j, FalkorDB, KuzuDB)
- Clean separation of concerns with dedicated service modules

### Provider Support
- **LLM**: OpenAI, Anthropic, Gemini, Groq
- **Embedders**: OpenAI, Voyage, Gemini, Anthropic, Sentence Transformers
- **Databases**: Neo4j, FalkorDB, KuzuDB (new default)
- Azure OpenAI support with AD authentication

### Configuration
- YAML configuration with environment variable expansion
- CLI argument overrides for runtime configuration
- Multiple pre-configured Docker Compose setups
- Proper boolean handling in environment variables

### Testing & CI
- Comprehensive test suite with unit and integration tests
- GitHub Actions workflows for linting and testing
- Multi-database testing support

### Docker Support
- Updated Docker images with multi-stage builds
- Database-specific docker-compose configurations
- Persistent volume support for all databases

### Bug Fixes
- Fixed KuzuDB connectivity checks
- Corrected Docker command paths
- Improved error handling and logging
- Fixed boolean environment variable expansion

Co-authored-by: Claude <noreply@anthropic.com>
2025-10-26 17:23:57 -07:00

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YAML

services:
graphiti-mcp:
image: zepai/knowledge-graph-mcp:latest
build:
context: .
dockerfile: Dockerfile
env_file:
- path: .env
required: false # Makes the file optional. Default value is 'true'
environment:
# Database configuration for KuzuDB - using persistent storage
- KUZU_DB=${KUZU_DB:-/data/graphiti.kuzu}
- KUZU_MAX_CONCURRENT_QUERIES=${KUZU_MAX_CONCURRENT_QUERIES:-10}
# LLM provider configurations
- OPENAI_API_KEY=${OPENAI_API_KEY}
- ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
- GOOGLE_API_KEY=${GOOGLE_API_KEY}
- GROQ_API_KEY=${GROQ_API_KEY}
- AZURE_OPENAI_API_KEY=${AZURE_OPENAI_API_KEY}
- AZURE_OPENAI_ENDPOINT=${AZURE_OPENAI_ENDPOINT}
- AZURE_OPENAI_DEPLOYMENT=${AZURE_OPENAI_DEPLOYMENT}
# Embedder provider configurations
- VOYAGE_API_KEY=${VOYAGE_API_KEY}
- AZURE_OPENAI_EMBEDDINGS_ENDPOINT=${AZURE_OPENAI_EMBEDDINGS_ENDPOINT}
- AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT=${AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT}
# Application configuration
- GRAPHITI_GROUP_ID=${GRAPHITI_GROUP_ID:-main}
- SEMAPHORE_LIMIT=${SEMAPHORE_LIMIT:-10}
- CONFIG_PATH=/app/config/config.yaml
- PATH=/root/.local/bin:${PATH}
volumes:
- ../config/config-docker-kuzu.yaml:/app/config/config.yaml:ro
# Persistent KuzuDB data storage
- kuzu_data:/data
ports:
- "8000:8000" # Expose the MCP server via HTTP for SSE transport
command: ["uv", "run", "src/graphiti_mcp_server.py", "--transport", "sse", "--config", "/app/config/config.yaml"]
# Volume for persistent KuzuDB storage
volumes:
kuzu_data:
driver: local