DashAI (unofficial) MCP Server

Train, track and query models on a running dashAI instance. Read-oriented, no delete tools.

Local serverstdio

What is the DashAI (unofficial) MCP Server?

DashAI (unofficial) is an MCP integration. Train, track and query models on a running dashAI instance. Read-oriented, no delete tools.

Packages and local setup

The published pypi package is dashai-mcp, version 0.3.1. Its declared MCP transport is stdio.

The package declares DASHAI_BASE_URL: URL of the dashAI backend. Defaults to http://localhost:8000.; DASHAI_ALLOW_REMOTE: Set to 1 to allow a non-localhost backend. dashAI's API has no authentication, so pointing this server at a remote host exposes an ML backend with no door on it — read the README before enabling.; DASHAI_TIMEOUT: Seconds to wait per request. Defaults to 30..

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. 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.

Configuration

VariableDescriptionRequired
DASHAI_BASE_URLURL of the dashAI backend. Defaults to http://localhost:8000.Optional
DASHAI_ALLOW_REMOTESet to 1 to allow a non-localhost backend. dashAI's API has no authentication, so pointing this server at a remote host exposes an ML backend with no door on it — read the README before enabling.Optional
DASHAI_TIMEOUTSeconds to wait per request. Defaults to 30.Optional