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dashAI (unofficial) MCP Server

local only

dashAI (unofficial) runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 15 Sep 2026.

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

Installs / week
pypi · dashai-mcp
0
Stars
0 open issues
15 Sep 2026
Last commit
no recent releases
MIT
License
Python

Nothing serious here today

Today is the operative word: we check dashAI (unofficial) every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add dashai-mcp -- uvx dashai-mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "dashai-mcp": {
      "args": [
        "dashai-mcp"
      ],
      "command": "uvx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.dashai-mcp]
command = "uvx"
args = ["dashai-mcp"]
.cursor/mcp.json
{
  "mcpServers": {
    "dashai-mcp": {
      "args": [
        "dashai-mcp"
      ],
      "command": "uvx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "dashai-mcp": {
      "args": [
        "dashai-mcp"
      ],
      "command": "uvx"
    }
  }
}

This one needs environment variables set before it will start: 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.). The author declared them in the registry entry; get the values from the project itself.

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dashAI (unofficial) — questions

Answers built from our own checks of this server.

Why is there no uptime for dashAI (unofficial)?
dashAI (unofficial) runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package dashai-mcp.
How do I connect dashAI (unofficial)?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It runs locally, so the command pulls dashai-mcp straight from pypi; nothing to host, nothing to sign up for.
Is dashAI (unofficial) open source?
Yes — it is published under the MIT licence, written in Python and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.