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n-r-w

KnowledgeGraph MCP Server

by n-r-w
.env.example1.84 kB
# Knowledge Graph MCP Service Environment Configuration # Copy this file to .env and update the values as needed # Storage Configuration # Supported types: sqlite, postgresql KNOWLEDGEGRAPH_STORAGE_TYPE=sqlite # Database Connection String # For SQLite: sqlite://./path/to/database.db or sqlite://:memory: # For PostgreSQL: postgresql://username:password@host:port/database # If not specified for SQLite, defaults to {home}/.knowledge-graph/knowledgegraph.db # KNOWLEDGEGRAPH_CONNECTION_STRING=sqlite://./custom/path/database.db # SQLite Database Path (optional) # Override the default SQLite database location # Default: {home directory}/.knowledge-graph/knowledgegraph.db # KNOWLEDGEGRAPH_SQLITE_PATH=/custom/path/to/database.db # Test Configuration # Test database connection string (used by integration and performance tests) # Should point to a separate test database to avoid conflicts with main data KNOWLEDGEGRAPH_TEST_CONNECTION_STRING=sqlite://:memory: # For PostgreSQL testing: postgresql://postgres:password@localhost:5432/knowledgegraph_test # Project Configuration KNOWLEDGEGRAPH_PROJECT=knowledgegraph_default_project # Search Configuration # Maximum number of results to return from database searches (1-1000) KNOWLEDGEGRAPH_SEARCH_MAX_RESULTS=100 # Batch size for processing large query arrays (1-50) KNOWLEDGEGRAPH_SEARCH_BATCH_SIZE=10 # Maximum number of entities to load for client-side search (100-100000) # PERFORMANCE: Reduce for large datasets to prevent memory issues KNOWLEDGEGRAPH_SEARCH_MAX_CLIENT_ENTITIES=10000 # Chunk size for processing large datasets in client-side search (100-10000) # PERFORMANCE: Smaller chunks use less memory but may be slower # Must be <= KNOWLEDGEGRAPH_SEARCH_MAX_CLIENT_ENTITIES KNOWLEDGEGRAPH_SEARCH_CLIENT_CHUNK_SIZE=100 # Development Configuration NODE_ENV=development

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