conductor-checkpoint-msg_01LXiyXFJea4taja92vVCNSX
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Daniel Chalef
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1 changed files with 24 additions and 218 deletions
242
smithery.yaml
242
smithery.yaml
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# Smithery Configuration for Graphiti MCP Server
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# Graphiti is a temporally-aware knowledge graph framework for AI agents
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# Docker Hub: zepai/knowledge-graph-mcp
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runtime: "container"
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@ -8,255 +9,60 @@ startCommand:
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configSchema:
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type: "object"
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required: []
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required: ["openai_api_key"]
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properties:
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# LLM Configuration
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llm_provider:
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type: "string"
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title: "LLM Provider"
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description: "LLM provider to use for knowledge extraction"
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default: "openai"
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enum: ["openai", "azure_openai", "anthropic", "gemini", "groq"]
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llm_model:
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type: "string"
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title: "LLM Model"
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description: "Model name to use with the LLM provider"
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default: "gpt-5-mini"
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llm_temperature:
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type: "number"
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title: "LLM Temperature"
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description: "Temperature setting for LLM (0.0-2.0, leave empty for reasoning models)"
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minimum: 0
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maximum: 2
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llm_max_tokens:
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type: "integer"
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title: "Max Tokens"
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description: "Maximum tokens for LLM responses"
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default: 4096
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minimum: 1
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# OpenAI Provider
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# LLM Provider (required)
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openai_api_key:
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type: "string"
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title: "OpenAI API Key"
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description: "OpenAI API key for LLM and embeddings"
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openai_api_url:
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# Optional: LLM Configuration
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llm_model:
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type: "string"
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title: "OpenAI API URL"
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description: "OpenAI API URL (use for custom endpoints like Ollama)"
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default: "https://api.openai.com/v1"
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title: "LLM Model"
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description: "Model name to use"
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default: "gpt-5-mini"
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openai_organization_id:
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# Optional: Advanced LLM Settings
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llm_provider:
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type: "string"
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title: "OpenAI Organization ID"
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description: "OpenAI organization ID (optional)"
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title: "LLM Provider"
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description: "LLM provider to use"
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default: "openai"
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enum: ["openai", "anthropic", "gemini"]
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# Azure OpenAI Provider
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azure_openai_api_key:
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type: "string"
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title: "Azure OpenAI API Key"
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description: "Azure OpenAI API key"
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azure_openai_endpoint:
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type: "string"
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title: "Azure OpenAI Endpoint"
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description: "Azure OpenAI endpoint URL"
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azure_openai_deployment:
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type: "string"
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title: "Azure OpenAI Deployment"
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description: "Azure OpenAI deployment name"
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azure_openai_api_version:
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type: "string"
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title: "Azure OpenAI API Version"
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description: "Azure OpenAI API version"
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default: "2024-10-21"
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use_azure_ad:
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type: "boolean"
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title: "Use Azure AD"
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description: "Use Azure Managed Identities for authentication"
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default: false
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# Anthropic Provider
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# Optional: Alternative Provider Keys
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anthropic_api_key:
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type: "string"
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title: "Anthropic API Key"
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description: "Anthropic API key for Claude models"
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description: "Anthropic API key for Claude models (if using Anthropic provider)"
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anthropic_api_url:
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type: "string"
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title: "Anthropic API URL"
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description: "Anthropic API URL"
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default: "https://api.anthropic.com"
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# Google Gemini Provider
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google_api_key:
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type: "string"
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title: "Google API Key"
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description: "Google API key for Gemini models"
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description: "Google API key for Gemini models (if using Gemini provider)"
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google_project_id:
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type: "string"
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title: "Google Project ID"
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description: "Google Cloud project ID"
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google_location:
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type: "string"
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title: "Google Location"
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description: "Google Cloud location"
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default: "us-central1"
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# Groq Provider
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groq_api_key:
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type: "string"
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title: "Groq API Key"
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description: "Groq API key"
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groq_api_url:
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type: "string"
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title: "Groq API URL"
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description: "Groq API URL"
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default: "https://api.groq.com/openai/v1"
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# Embedder Configuration
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embedder_provider:
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type: "string"
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title: "Embedder Provider"
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description: "Embedder provider for generating embeddings"
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default: "openai"
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enum: ["openai", "azure_openai", "gemini", "voyage"]
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embedder_model:
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type: "string"
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title: "Embedder Model"
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description: "Embedding model name"
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default: "text-embedding-3-small"
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embedder_dimensions:
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type: "integer"
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title: "Embedding Dimensions"
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description: "Embedding vector dimensions"
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default: 1536
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minimum: 1
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# Voyage AI Embeddings
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voyage_api_key:
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type: "string"
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title: "Voyage AI API Key"
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description: "Voyage AI API key for embeddings"
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voyage_api_url:
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type: "string"
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title: "Voyage AI API URL"
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description: "Voyage AI API URL"
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default: "https://api.voyageai.com/v1"
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# Database Configuration
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database_provider:
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type: "string"
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title: "Database Provider"
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description: "Graph database provider (FalkorDB is built-in)"
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default: "falkordb"
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enum: ["falkordb", "neo4j"]
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falkordb_uri:
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type: "string"
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title: "FalkorDB URI"
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description: "FalkorDB connection URI"
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default: "redis://localhost:6379"
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falkordb_password:
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type: "string"
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title: "FalkorDB Password"
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description: "FalkorDB password (optional)"
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falkordb_database:
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type: "string"
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title: "FalkorDB Database"
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description: "FalkorDB database name"
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default: "default_db"
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neo4j_uri:
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type: "string"
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title: "Neo4j URI"
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description: "Neo4j connection URI"
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default: "bolt://localhost:7687"
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neo4j_username:
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type: "string"
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title: "Neo4j Username"
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description: "Neo4j username"
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default: "neo4j"
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neo4j_password:
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type: "string"
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title: "Neo4j Password"
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description: "Neo4j password"
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neo4j_database:
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type: "string"
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title: "Neo4j Database"
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description: "Neo4j database name"
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default: "neo4j"
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use_parallel_runtime:
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type: "boolean"
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title: "Use Parallel Runtime"
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description: "Use Neo4j parallel runtime (enterprise only)"
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default: false
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# Graphiti Configuration
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# Optional: Graphiti Configuration
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graphiti_group_id:
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type: "string"
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title: "Group ID"
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description: "Group ID for namespacing graph data"
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description: "Namespace for organizing graph data"
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default: "main"
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episode_id_prefix:
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type: "string"
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title: "Episode ID Prefix"
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description: "Prefix for episode IDs (optional)"
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user_id:
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type: "string"
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title: "User ID"
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description: "User ID for tracking operations"
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default: "mcp_user"
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# Server Configuration
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# Optional: Performance Tuning
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semaphore_limit:
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type: "integer"
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title: "Semaphore Limit"
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description: "Concurrent episode processing limit (adjust based on LLM provider rate limits)"
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title: "Concurrency Limit"
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description: "Concurrent episode processing limit (adjust based on LLM rate limits)"
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default: 10
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minimum: 1
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maximum: 100
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destroy_graph:
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type: "boolean"
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title: "Destroy Graph on Startup"
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description: "Clear all graph data on startup (warning: destructive)"
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default: false
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maximum: 50
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exampleConfig:
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llm_provider: "openai"
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llm_model: "gpt-5-mini"
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llm_max_tokens: 4096
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openai_api_key: "sk-proj-..."
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embedder_provider: "openai"
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embedder_model: "text-embedding-3-small"
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embedder_dimensions: 1536
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database_provider: "falkordb"
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falkordb_uri: "redis://localhost:6379"
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falkordb_database: "default_db"
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llm_model: "gpt-5-mini"
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graphiti_group_id: "main"
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user_id: "mcp_user"
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semaphore_limit: 10
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build:
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