BanditDB MCP配置与使用教程

{
  "id": "com.banditdb/mcp",
  "type": "mcp-server",
  "version": "0.2.1",
  "displayName": "BanditDB",
  "description": "Persistent decision memory for agents — learns which action works in which context",
  "repository": {
    "url": "https://github.com/dynamicpricing-ai/banditdb-python",
    "source": "github"
  },
  "homepage": "https://banditdb.com/docs/mcp/",
  "distribution": {
    "packages": [
      {
        "registryType": "pypi",
        "identifier": "banditdb-python",
        "version": "0.2.1",
        "runtimeHint": "uvx",
        "transport": "stdio",
        "environmentVariables": [
          {
            "name": "BANDITDB_URL",
            "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
          },
          {
            "name": "BANDITDB_API_KEY",
            "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,
            "isSecret": true
          }
        ]
      }
    ],
    "remotes": []
  },
  "dependencies": [],
  "installTargets": [
    "claude-code",
    "claude-desktop",
    "cursor",
    "vscode",
    "trae",
    "cherry-studio",
    "lingma",
    "windsurf",
    "cline",
    "workbuddy"
  ],
  "keywords": [],
  "provenance": {
    "origin": "official-mcp-registry",
    "originalId": "com.banditdb/mcp",
    "originalUrl": "https://registry.modelcontextprotocol.io/v0.1/servers/com.banditdb%2Fmcp/versions/latest",
    "isOfficial": true,
    "status": "active"
  }
}