socraticode

{
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "name": "io.github.giancarloerra/socraticode",
  "description": "MCP server for enterprise local codebase indexing, semantic search, and code dependency graphs.",
  "repository": {
    "url": "https://github.com/giancarloerra/socraticode",
    "source": "github"
  },
  "version": "1.16.0",
  "packages": [
    {
      "registryType": "npm",
      "identifier": "socraticode",
      "version": "1.16.0",
      "transport": {
        "type": "stdio"
      },
      "environmentVariables": [
        {
          "description": "Embedding provider to use: ollama (default), openai, google, lmstudio, or litellm",
          "format": "string",
          "name": "EMBEDDING_PROVIDER"
        },
        {
          "description": "API key for OpenAI embeddings (required only when EMBEDDING_PROVIDER=openai)",
          "format": "string",
          "isSecret": true,
          "name": "OPENAI_API_KEY"
        },
        {
          "description": "API key for Google embeddings (required only when EMBEDDING_PROVIDER=google)",
          "format": "string",
          "isSecret": true,
          "name": "GOOGLE_API_KEY"
        },
        {
          "description": "URL of the Ollama server (default: auto-detected; Docker-managed or http://localhost:11434)",
          "format": "string",
          "name": "OLLAMA_URL"
        },
        {
          "description": "Embedding model name (defaults per provider; required for lmstudio and litellm)",
          "format": "string",
          "name": "EMBEDDING_MODEL"
        },
        {
          "description": "Embedding vector dimensions (defaults per provider; required for lmstudio and litellm)",
          "format": "string",
          "name": "EMBEDDING_DIMENSIONS"
        },
        {
          "description": "Ollama mode: auto (default), docker, or external",
          "format": "string",
          "name": "OLLAMA_MODE"
        },
        {
          "description": "Optional API key for authenticated Ollama proxies",
          "format": "string",
          "isSecret": true,
          "name": "OLLAMA_API_KEY"
        },
        {
          "description": "LM Studio OpenAI-compatible base URL (default: http://localhost:1234/v1)",
          "format": "string",
          "name": "LMSTUDIO_URL"
        },
        {
          "description": "Optional API key when LM Studio authentication is enabled",
          "format": "string",
          "isSecret": true,
          "name": "LMSTUDIO_API_KEY"
        },
        {
          "description": "Allow compatible embedding servers without a models endpoint to be probed directly",
          "format": "string",
          "name": "LMSTUDIO_ALLOW_MISSING_MODEL_LISTING"
        },
        {
          "description": "LiteLLM OpenAI-compatible base URL (default: http://localhost:4000/v1)",
          "format": "string",
          "name": "LITELLM_URL"
        },
        {
          "description": "LiteLLM master or virtual API key (required when EMBEDDING_PROVIDER=litellm)",
          "format": "string",
          "isSecret": true,
          "name": "LITELLM_API_KEY"
        },
        {
          "description": "Forward the dimensions parameter through LiteLLM when explicitly enabled",
          "format": "string",
          "name": "LITELLM_SEND_DIMENSIONS"
        },
        {
          "description": "Qdrant mode: managed (default, Docker-managed) or external (user-provided instance)",
          "format": "string",
          "name": "QDRANT_MODE"
        },
        {
          "description": "Full URL for remote/cloud Qdrant (e.g. https://xyz.cloud.qdrant.io:6333). Only needed when QDRANT_MODE=external",
          "format": "string",
          "name": "QDRANT_URL"
        },
        {
          "description": "API key for remote Qdrant instance. Only needed when QDRANT_MODE=external",
          "format": "string",
          "isSecret": true,
          "name": "QDRANT_API_KEY"
        }
      ]
    }
  ]
}