Other · Local MCP server
BanditDB
Persistent decision memory for agents — learns which action works in which context.
What the MCP Registry states
The entry as published to the official MCP Registry (read 2026-10-04), latest version.
- Registry name
com.banditdb/mcp- Version
- 0.2.1
- Status
- Active
- Category
- other
- Transport
- stdio (local process)
- Package
- PyPI
- Published
- 2026-08-26
- Updated
- 2026-08-26
- Publisher
- com.banditdb
- Website
- banditdb.com/docs/mcp/
- Repository
- github.com/dynamicpricing-ai/banditdb-python
- Source
- Registry API entry
Packages
| Registry | Package | Version | Transport |
|---|---|---|---|
| PyPIruntime: uvx | banditdb-python | 0.2.1 | stdio |
How to connect BanditDB
BanditDB runs locally from a Python package published to PyPI: banditdb-python version 0.2.1. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install — the usual command is uvx banditdb-python. It reads these environment variables: BANDITDB_URL (required) and BANDITDB_API_KEY (required, secret); set them in the client's configuration for this server.
In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):
{
"mcpServers": {
"mcp": {
"command": "uvx",
"args": [
"banditdb-python"
],
"env": {
"BANDITDB_URL": "<value>",
"BANDITDB_API_KEY": "<secret>"
}
}
}
}Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect
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