From e9ce34b1f3c42f4affd0364f55c059df41421eff Mon Sep 17 00:00:00 2001 From: Daniel Chalef <131175+danielchalef@users.noreply.github.com> Date: Fri, 31 Oct 2025 16:06:01 -0700 Subject: [PATCH] conductor-checkpoint-msg_01LXiyXFJea4taja92vVCNSX --- smithery.yaml | 242 +++++--------------------------------------------- 1 file changed, 24 insertions(+), 218 deletions(-) diff --git a/smithery.yaml b/smithery.yaml index 338bcc62..db5aff78 100644 --- a/smithery.yaml +++ b/smithery.yaml @@ -1,5 +1,6 @@ # Smithery Configuration for Graphiti MCP Server # Graphiti is a temporally-aware knowledge graph framework for AI agents +# Docker Hub: zepai/knowledge-graph-mcp runtime: "container" @@ -8,255 +9,60 @@ startCommand: configSchema: type: "object" - required: [] + required: ["openai_api_key"] properties: - # LLM Configuration - llm_provider: - type: "string" - title: "LLM Provider" - description: "LLM provider to use for knowledge extraction" - default: "openai" - enum: ["openai", "azure_openai", "anthropic", "gemini", "groq"] - - llm_model: - type: "string" - title: "LLM Model" - description: "Model name to use with the LLM provider" - default: "gpt-5-mini" - - llm_temperature: - type: "number" - title: "LLM Temperature" - description: "Temperature setting for LLM (0.0-2.0, leave empty for reasoning models)" - minimum: 0 - maximum: 2 - - llm_max_tokens: - type: "integer" - title: "Max Tokens" - description: "Maximum tokens for LLM responses" - default: 4096 - minimum: 1 - - # OpenAI Provider + # LLM Provider (required) openai_api_key: type: "string" title: "OpenAI API Key" description: "OpenAI API key for LLM and embeddings" - openai_api_url: + # Optional: LLM Configuration + llm_model: type: "string" - title: "OpenAI API URL" - description: "OpenAI API URL (use for custom endpoints like Ollama)" - default: "https://api.openai.com/v1" + title: "LLM Model" + description: "Model name to use" + default: "gpt-5-mini" - openai_organization_id: + # Optional: Advanced LLM Settings + llm_provider: type: "string" - title: "OpenAI Organization ID" - description: "OpenAI organization ID (optional)" + title: "LLM Provider" + description: "LLM provider to use" + default: "openai" + enum: ["openai", "anthropic", "gemini"] - # Azure OpenAI Provider - azure_openai_api_key: - type: "string" - title: "Azure OpenAI API Key" - description: "Azure OpenAI API key" - - azure_openai_endpoint: - type: "string" - title: "Azure OpenAI Endpoint" - description: "Azure OpenAI endpoint URL" - - azure_openai_deployment: - type: "string" - title: "Azure OpenAI Deployment" - description: "Azure OpenAI deployment name" - - azure_openai_api_version: - type: "string" - title: "Azure OpenAI API Version" - description: "Azure OpenAI API version" - default: "2024-10-21" - - use_azure_ad: - type: "boolean" - title: "Use Azure AD" - description: "Use Azure Managed Identities for authentication" - default: false - - # Anthropic Provider + # Optional: Alternative Provider Keys anthropic_api_key: type: "string" title: "Anthropic API Key" - description: "Anthropic API key for Claude models" + description: "Anthropic API key for Claude models (if using Anthropic provider)" - anthropic_api_url: - type: "string" - title: "Anthropic API URL" - description: "Anthropic API URL" - default: "https://api.anthropic.com" - - # Google Gemini Provider google_api_key: type: "string" title: "Google API Key" - description: "Google API key for Gemini models" + description: "Google API key for Gemini models (if using Gemini provider)" - google_project_id: - type: "string" - title: "Google Project ID" - description: "Google Cloud project ID" - - google_location: - type: "string" - title: "Google Location" - description: "Google Cloud location" - default: "us-central1" - - # Groq Provider - groq_api_key: - type: "string" - title: "Groq API Key" - description: "Groq API key" - - groq_api_url: - type: "string" - title: "Groq API URL" - description: "Groq API URL" - default: "https://api.groq.com/openai/v1" - - # Embedder Configuration - embedder_provider: - type: "string" - title: "Embedder Provider" - description: "Embedder provider for generating embeddings" - default: "openai" - enum: ["openai", "azure_openai", "gemini", "voyage"] - - embedder_model: - type: "string" - title: "Embedder Model" - description: "Embedding model name" - default: "text-embedding-3-small" - - embedder_dimensions: - type: "integer" - title: "Embedding Dimensions" - description: "Embedding vector dimensions" - default: 1536 - minimum: 1 - - # Voyage AI Embeddings - voyage_api_key: - type: "string" - title: "Voyage AI API Key" - description: "Voyage AI API key for embeddings" - - voyage_api_url: - type: "string" - title: "Voyage AI API URL" - description: "Voyage AI API URL" - default: "https://api.voyageai.com/v1" - - # Database Configuration - database_provider: - type: "string" - title: "Database Provider" - description: "Graph database provider (FalkorDB is built-in)" - default: "falkordb" - enum: ["falkordb", "neo4j"] - - falkordb_uri: - type: "string" - title: "FalkorDB URI" - description: "FalkorDB connection URI" - default: "redis://localhost:6379" - - falkordb_password: - type: "string" - title: "FalkorDB Password" - description: "FalkorDB password (optional)" - - falkordb_database: - type: "string" - title: "FalkorDB Database" - description: "FalkorDB database name" - default: "default_db" - - neo4j_uri: - type: "string" - title: "Neo4j URI" - description: "Neo4j connection URI" - default: "bolt://localhost:7687" - - neo4j_username: - type: "string" - title: "Neo4j Username" - description: "Neo4j username" - default: "neo4j" - - neo4j_password: - type: "string" - title: "Neo4j Password" - description: "Neo4j password" - - neo4j_database: - type: "string" - title: "Neo4j Database" - description: "Neo4j database name" - default: "neo4j" - - use_parallel_runtime: - type: "boolean" - title: "Use Parallel Runtime" - description: "Use Neo4j parallel runtime (enterprise only)" - default: false - - # Graphiti Configuration + # Optional: Graphiti Configuration graphiti_group_id: type: "string" title: "Group ID" - description: "Group ID for namespacing graph data" + description: "Namespace for organizing graph data" default: "main" - episode_id_prefix: - type: "string" - title: "Episode ID Prefix" - description: "Prefix for episode IDs (optional)" - - user_id: - type: "string" - title: "User ID" - description: "User ID for tracking operations" - default: "mcp_user" - - # Server Configuration + # Optional: Performance Tuning semaphore_limit: type: "integer" - title: "Semaphore Limit" - description: "Concurrent episode processing limit (adjust based on LLM provider rate limits)" + title: "Concurrency Limit" + description: "Concurrent episode processing limit (adjust based on LLM rate limits)" default: 10 minimum: 1 - maximum: 100 - - destroy_graph: - type: "boolean" - title: "Destroy Graph on Startup" - description: "Clear all graph data on startup (warning: destructive)" - default: false + maximum: 50 exampleConfig: - llm_provider: "openai" - llm_model: "gpt-5-mini" - llm_max_tokens: 4096 openai_api_key: "sk-proj-..." - embedder_provider: "openai" - embedder_model: "text-embedding-3-small" - embedder_dimensions: 1536 - database_provider: "falkordb" - falkordb_uri: "redis://localhost:6379" - falkordb_database: "default_db" + llm_model: "gpt-5-mini" graphiti_group_id: "main" - user_id: "mcp_user" semaphore_limit: 10 build: