21530c6408
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>
21 lines
454 B
JSON
21 lines
454 B
JSON
{
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"mcpServers": {
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"graphiti": {
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"transport": "stdio",
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"command": "uv",
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"args": [
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"run",
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"/ABSOLUTE/PATH/TO/graphiti_mcp_server.py",
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"--transport",
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"stdio"
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],
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"env": {
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"NEO4J_URI": "bolt://localhost:7687",
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"NEO4J_USER": "neo4j",
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"NEO4J_PASSWORD": "demodemo",
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"OPENAI_API_KEY": "${OPENAI_API_KEY}",
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"MODEL_NAME": "gpt-4.1-mini"
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}
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}
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}
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}
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