BanditDB

{
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "name": "com.banditdb/mcp",
  "description": "Persistent decision memory for agents — learns which action works in which context",
  "title": "BanditDB",
  "repository": {
    "url": "https://github.com/dynamicpricing-ai/banditdb-python",
    "source": "github",
    "id": "1168312867"
  },
  "version": "0.2.1",
  "websiteUrl": "https://banditdb.com/docs/mcp/",
  "packages": [
    {
      "registryType": "pypi",
      "registryBaseUrl": "https://pypi.org",
      "identifier": "banditdb-python",
      "version": "0.2.1",
      "runtimeHint": "uvx",
      "transport": {
        "type": "stdio"
      },
      "runtimeArguments": [
        {
          "value": "banditdb-python",
          "type": "named",
          "name": "--from"
        },
        {
          "value": "banditdb-mcp",
          "type": "positional"
        }
      ],
      "environmentVariables": [
        {
          "description": "Base URL of the BanditDB server, e.g. http://localhost:8080 or https://your-instance.api.banditdb.com. Try it against the public sandbox at https://sandbox.banditdb.com before running your own.",
          "isRequired": true,
          "format": "string",
          "default": "http://localhost:8080",
          "name": "BANDITDB_URL"
        },
        {
          "description": "API key. A writer-role key is enough for get_intuition and record_outcome; admin is needed to create or delete campaigns.",
          "isRequired": true,
          "format": "string",
          "isSecret": true,
          "name": "BANDITDB_API_KEY"
        }
      ]
    }
  ]
}