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com.banditdb/mcp

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Publisher-provided title

BanditDB

Publisher-provided description

Persistent decision memory for agents — learns which action works in which context

Summary by lookupd

Lets agents store and query persistent decision history, learning which action performs best in a given context over time.

Install

Claude Code, pypi package (stdio)

claude mcp add mcp -- uvx banditdb-python

Codex, pypi package (stdio)

codex mcp add mcp -- uvx banditdb-python

Cursor, pypi package (stdio) → .cursor/mcp.json

{
  "mcpServers": {
    "mcp": {
      "command": "uvx",
      "args": [
        "banditdb-python"
      ]
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

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