io.github.Abhigyan-Shekhar/Waggle-mcp✓

The full server descriptor as registered with IndusMCP.

{
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "name": "io.github.Abhigyan-Shekhar/Waggle-mcp",
  "description": "Persistent graph-backed conversational memory for AI agents.",
  "repository": {
    "url": "https://github.com/Abhigyan-Shekhar/Waggle-mcp",
    "source": "github"
  },
  "version": "0.1.8",
  "packages": [
    {
      "registryType": "pypi",
      "identifier": "waggle-mcp",
      "version": "0.1.8",
      "transport": {
        "type": "stdio"
      },
      "environmentVariables": [
        {
          "description": "Transport mode for the MCP server.",
          "format": "string",
          "default": "stdio",
          "name": "WAGGLE_TRANSPORT"
        },
        {
          "description": "Backend database type: sqlite for local use or neo4j for service deployments.",
          "format": "string",
          "default": "sqlite",
          "name": "WAGGLE_BACKEND"
        },
        {
          "description": "Path to the SQLite memory database when WAGGLE_BACKEND is sqlite.",
          "format": "string",
          "default": "~/.waggle/memory.db",
          "name": "WAGGLE_DB_PATH"
        },
        {
          "description": "Default tenant ID for local or shared memory isolation.",
          "format": "string",
          "default": "local-default",
          "name": "WAGGLE_DEFAULT_TENANT_ID"
        },
        {
          "description": "Sentence-transformers model used for local embeddings.",
          "format": "string",
          "default": "all-MiniLM-L6-v2",
          "name": "WAGGLE_MODEL"
        }
      ]
    }
  ],
  "_meta": {
    "dev.indusmcp/source": "official-registry-mirror",
    "dev.indusmcp/synced": "2026-05-12"
  }
}