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Model Manager MCP Server

local only

Model Manager runs on your own machine — the client starts it, so there is no endpoint to ping. 240 installs a week from pypi. Last commit 22 Oct 2026.

Manage your local model machine over MCP: state, model pull/remove, service switch, LoRA training

Installs per day peak 524 · avg 58 · +19% w/w
a month agotoday
240
Installs / week
pypi · mcp-modelmanager
0
Stars
0 open issues
22 Oct 2026
Last commit
from GitHub
MIT
License
Python

What the code does

We read the source, 7 d ago · rules 995398eba69f

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

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 mcp-modelmanager -e 'MM_VM_HOST=<MM_VM_HOST>' -e 'MM_VM_USER=<MM_VM_USER>' -e 'MM_CONTAINER_ROOT=<MM_CONTAINER_ROOT>' -- uvx mcp-modelmanager
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mcp-modelmanager": {
      "command": "uvx",
      "args": [
        "mcp-modelmanager"
      ],
      "env": {
        "MM_CONTAINER_ROOT": "<MM_CONTAINER_ROOT>",
        "MM_VM_HOST": "<MM_VM_HOST>",
        "MM_VM_USER": "<MM_VM_USER>"
      }
    }
  }
}
~/.codex/config.toml
[mcp_servers.mcp-modelmanager]
command = "uvx"
args = ["mcp-modelmanager"]
env = { MM_VM_HOST = "<MM_VM_HOST>", MM_VM_USER = "<MM_VM_USER>", MM_CONTAINER_ROOT = "<MM_CONTAINER_ROOT>" }
.cursor/mcp.json
{
  "mcpServers": {
    "mcp-modelmanager": {
      "command": "uvx",
      "args": [
        "mcp-modelmanager"
      ],
      "env": {
        "MM_CONTAINER_ROOT": "<MM_CONTAINER_ROOT>",
        "MM_VM_HOST": "<MM_VM_HOST>",
        "MM_VM_USER": "<MM_VM_USER>"
      }
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "mcp-modelmanager": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mcp-modelmanager"
      ],
      "env": {
        "MM_CONTAINER_ROOT": "<MM_CONTAINER_ROOT>",
        "MM_VM_HOST": "<MM_VM_HOST>",
        "MM_VM_USER": "<MM_VM_USER>"
      }
    }
  }
}

Put your own values in place of <MM_VM_HOST> (Address of the model machine (127.0.0.1, LAN IP or tunnel/VPN address)), <MM_VM_USER> (SSH user on the model machine), <MM_CONTAINER_ROOT> (Root directory on the machine holding all model, adapter and cache data). The author’s registry entry marks them as required.

Optional settings from the registry entry, left out of the block above: MM_MAX_TIER (Highest tool tier exposed: read, control or destructive), MM_ENABLED_OPERATIONS (Optional comma-separated allowlist of exact tool names, applied on top of MM_MAX_TIER; a typo aborts startup. Empty means everything within MM_MAX_TIER), MM_VM2_HOST (Optional: address of a second machine sharing the GPU, used to interpret unreachability. Leave empty if there is only one machine).

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Model Manager — questions

Answers built from our own checks of this server.

Why is there no uptime for Model Manager?
Model Manager 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 mcp-modelmanager was installed 240 times last week.
How do I connect Model Manager?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls mcp-modelmanager straight from pypi; nothing to host, nothing to sign up for.
How many people use Model Manager?
The pypi package mcp-modelmanager was installed 240 times in the last week. Week over week that is +19%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Model Manager 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.