servers/ memory/ banditdb
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BanditDB

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

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Overview Installation

Overview

BanditDB is a Model Context Protocol (MCP) server: Persistent decision memory for agents — learns which action works in which context. Because it speaks the Model Context Protocol, AI assistants can use BanditDB as a set of callable tools instead of you copy-pasting between apps.

It runs locally: the Python package banditdb-python (via uvx) speaks MCP over stdio on your machine. Configuration happens through environment variables — you'll need BANDITDB_URL, BANDITDB_API_KEY. The current release is v0.2.1, published under the Apache-2.0 license, with source at dynamicpricing-ai/banditdb-python on GitHub.

On mcp.site, BanditDB sits in the Memory category. Any MCP client can use it — Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed among them — via the install snippets below. If you maintain BanditDB for banditdb.com, claim this listing to verify ownership, earn the Verified badge, and keep the details current.

PyPI package — banditdb-python · MCP over stdio
Credentials — Requires BANDITDB_URL, BANDITDB_API_KEY
Open source — Apache-2.0 license · dynamicpricing-ai/banditdb-python

Installation

// claude_desktop_config.json
{
  "mcpServers": {
    "banditdb": {
      "command": "uvx",
      "args": [
        "banditdb-python"
      ],
      "env": {
        "BANDITDB_URL": "<banditdb-url>",
        "BANDITDB_API_KEY": "<banditdb-api-key>"
      }
    }
  }
}

Requires BANDITDB_URL, BANDITDB_API_KEY

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