# 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"

startCommand:
  type: "http"

  configSchema:
    type: "object"
    required: ["openai_api_key"]
    properties:
      # LLM Provider (required)
      openai_api_key:
        type: "string"
        title: "OpenAI API Key"
        description: "OpenAI API key for LLM and embeddings"

      # Optional: LLM Configuration
      llm_model:
        type: "string"
        title: "LLM Model"
        description: "Model name to use"
        default: "gpt-5-mini"

      # Optional: Advanced LLM Settings
      llm_provider:
        type: "string"
        title: "LLM Provider"
        description: "LLM provider to use"
        default: "openai"
        enum: ["openai", "anthropic", "gemini"]

      # Optional: Alternative Provider Keys
      anthropic_api_key:
        type: "string"
        title: "Anthropic API Key"
        description: "Anthropic API key for Claude models (if using Anthropic provider)"

      google_api_key:
        type: "string"
        title: "Google API Key"
        description: "Google API key for Gemini models (if using Gemini provider)"

      # Optional: Graphiti Configuration
      graphiti_group_id:
        type: "string"
        title: "Group ID"
        description: "Namespace for organizing graph data"
        default: "main"

      # Optional: Performance Tuning
      semaphore_limit:
        type: "integer"
        title: "Concurrency Limit"
        description: "Concurrent episode processing limit (adjust based on LLM rate limits)"
        default: 10
        minimum: 1
        maximum: 50

  exampleConfig:
    openai_api_key: "sk-proj-..."
    llm_model: "gpt-5-mini"
    graphiti_group_id: "main"
    semaphore_limit: 10

build:
  dockerfile: "mcp_server/docker/Dockerfile"
  dockerBuildPath: "."

env:
  PYTHONUNBUFFERED: "1"
  MCP_SERVER_HOST: "0.0.0.0"