{
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-09-29/server.schema.json",
  "name": "io.github.ggozad/haiku-rag",
  "version": "{{VERSION}}",
  "description": "Agentic Retrieval Augmented Generation (RAG) with LanceDB",
  "repository": {
    "url": "https://github.com/ggozad/haiku.rag",
    "source": "github"
  },
  "homepage": "https://github.com/ggozad/haiku.rag",
  "license": "MIT",
  "keywords": ["rag", "lancedb", "vector-database", "embeddings", "search", "qa", "research"],
  "vendor": {
    "name": "Yiorgis Gozadinos",
    "url": "https://github.com/ggozad"
  },
  "deployment": {
    "packages": [
      {
        "type": "pypi",
        "package": "haiku.rag",
        "command": {
          "linux-x86_64": {
            "shell": "uvx",
            "args": ["haiku.rag", "serve", "--stdio"]
          },
          "darwin-arm64": {
            "shell": "uvx",
            "args": ["haiku.rag", "serve", "--stdio"]
          },
          "darwin-x86_64": {
            "shell": "uvx",
            "args": ["haiku.rag", "serve", "--stdio"]
          },
          "win32-x86_64": {
            "shell": "uvx.exe",
            "args": ["haiku.rag", "serve", "--stdio"]
          }
        },
        "environmentVariables": [
          {
            "name": "ENV",
            "description": "Runtime environment (production or development)",
            "format": "string",
            "isRequired": false,
            "isSecret": false
          },
          {
            "name": "DEFAULT_DATA_DIR",
            "description": "Default directory for LanceDB data and assets",
            "format": "string",
            "isRequired": false,
            "isSecret": false
          },
          {
            "name": "MONITOR_DIRECTORIES",
            "description": "Comma-separated paths to watch for file changes in server mode",
            "format": "string",
            "isRequired": false,
            "isSecret": false
          },
          {
            "name": "LANCEDB_URI",
            "description": "LanceDB connection URI (use db:// for cloud or a filesystem path)",
            "format": "string",
            "isRequired": false,
            "isSecret": false
          },
          {
            "name": "LANCEDB_REGION",
            "description": "LanceDB cloud region (if using cloud)",
            "format": "string",
            "isRequired": false,
            "isSecret": false
          },
          {
            "name": "LANCEDB_API_KEY",
            "description": "LanceDB API key (required for LanceDB Cloud)",
            "format": "string",
            "isRequired": false,
            "isSecret": true
          },
          {
            "name": "EMBEDDINGS_PROVIDER",
            "description": "Embeddings provider (e.g. ollama, openai, voyageai)",
            "format": "string",
            "isRequired": false,
            "isSecret": false
          },
          {
            "name": "EMBEDDINGS_MODEL",
            "description": "Embeddings model name (provider-specific)",
            "format": "string",
            "isRequired": false,
            "isSecret": false
          },
          {
            "name": "EMBEDDINGS_VECTOR_DIM",
            "description": "Embedding vector dimension (must match model)",
            "format": "number",
            "isRequired": false,
            "isSecret": false
          },
          {
            "name": "QA_PROVIDER",
            "description": "Question answering provider (e.g. ollama, openai, anthropic)",
            "format": "string",
            "isRequired": false,
            "isSecret": false
          },
          {
            "name": "QA_MODEL",
            "description": "Question answering model name (provider-specific)",
            "format": "string",
            "isRequired": false,
            "isSecret": false
          },
          {
            "name": "RESEARCH_PROVIDER",
            "description": "Research provider for multi-agent research (e.g. ollama, openai, anthropic)",
            "format": "string",
            "isRequired": false,
            "isSecret": false
          },
          {
            "name": "RESEARCH_MODEL",
            "description": "Research model name for multi-agent research (provider-specific)",
            "format": "string",
            "isRequired": false,
            "isSecret": false
          },
          {
            "name": "RERANK_PROVIDER",
            "description": "Rerank provider (e.g. mixedbread, cohere)",
            "format": "string",
            "isRequired": false,
            "isSecret": false
          },
          {
            "name": "RERANK_MODEL",
            "description": "Rerank model name (provider-specific)",
            "format": "string",
            "isRequired": false,
            "isSecret": false
          },
          {
            "name": "CHUNK_SIZE",
            "description": "Chunk size for splitting documents (characters)",
            "format": "number",
            "isRequired": false,
            "isSecret": false
          },
          {
            "name": "CONTEXT_CHUNK_RADIUS",
            "description": "Number of adjacent chunks to include around search hits",
            "format": "number",
            "isRequired": false,
            "isSecret": false
          },
          {
            "name": "OLLAMA_BASE_URL",
            "description": "Base URL for Ollama server",
            "format": "string",
            "isRequired": false,
            "isSecret": false
          },
          {
            "name": "VLLM_EMBEDDINGS_BASE_URL",
            "description": "Base URL for vLLM embeddings endpoint",
            "format": "string",
            "isRequired": false,
            "isSecret": false
          },
          {
            "name": "VLLM_RERANK_BASE_URL",
            "description": "Base URL for vLLM rerank endpoint",
            "format": "string",
            "isRequired": false,
            "isSecret": false
          },
          {
            "name": "VLLM_QA_BASE_URL",
            "description": "Base URL for vLLM QA endpoint",
            "format": "string",
            "isRequired": false,
            "isSecret": false
          },
          {
            "name": "VLLM_RESEARCH_BASE_URL",
            "description": "Base URL for vLLM research endpoint",
            "format": "string",
            "isRequired": false,
            "isSecret": false
          },
          {
            "name": "MARKDOWN_PREPROCESSOR",
            "description": "Dotted path or file path to a callable that preprocesses markdown content before chunking",
            "format": "string",
            "isRequired": false,
            "isSecret": false
          },
          {
            "name": "DISABLE_DB_AUTOCREATE",
            "description": "If true, refuse to auto-create a new LanceDB database or tables",
            "format": "boolean",
            "isRequired": false,
            "isSecret": false
          },
          {
            "name": "VACUUM_RETENTION_SECONDS",
            "description": "Vacuum retention threshold in seconds (default: 60)",
            "format": "number",
            "isRequired": false,
            "isSecret": false
          },
          {
            "name": "OPENAI_API_KEY",
            "description": "OpenAI API key (if using OpenAI for embeddings or QA)",
            "format": "string",
            "isRequired": false,
            "isSecret": true
          },
          {
            "name": "VOYAGE_API_KEY",
            "description": "VoyageAI API key (if using VoyageAI for embeddings)",
            "format": "string",
            "isRequired": false,
            "isSecret": true
          },
          {
            "name": "ANTHROPIC_API_KEY",
            "description": "Anthropic API key (if using Anthropic for QA)",
            "format": "string",
            "isRequired": false,
            "isSecret": true
          },
          {
            "name": "COHERE_API_KEY",
            "description": "Cohere API key (if using Cohere for reranking)",
            "format": "string",
            "isRequired": false,
            "isSecret": true
          }
        ]
      }
    ]
  },
  "transports": [
    {
      "type": "stdio"
    }
  ]
}