BanditDB MCP Server

BanditDB is an MCP integration. Persistent decision memory for agents — learns which action works in which context.

Packages and local setup

The published pypi package is banditdb-python, version 0.3.1. Its declared MCP transport is stdio.

The package declares BANDITDB_URL (required): 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.; BANDITDB_API_KEY (required): API key. A writer-role key is enough for get_intuition and record_outcome; admin is needed to create or delete campaigns..

This package has launch arguments in its registry record. Use the maintainer’s configuration for those arguments rather than launching it with only the package name.

Before connecting

Check the maintainer’s instructions for account access, authentication and the supported client configuration. Once connected, inspect the tools your client receives and try a small task that matches the server’s stated purpose. The registry description does not include a verified, complete tool list.

Project and source

View the publisher’s registry entry · Project repository · Project website. This profile uses version 0.3.1 from the registry. Registration identifies the publisher namespace; it does not establish that this is a first-party integration for every service it connects.

Browse related other integrations MCP servers for tools that cover the same kind of work.