Other · Local MCP server
Model Manager
Manage your local model machine over MCP: state, model pull/remove, service switch, LoRA training.
What the MCP Registry states
The entry as published to the official MCP Registry (read 2026-10-04), latest version.
- Registry name
io.github.setheerwagen/mcp-modelmanager- Version
- 1.0.2
- Status
- Active
- Category
- other
- Transport
- stdio (local process)
- Package
- PyPI
- Published
- 2026-09-08
- Updated
- 2026-09-08
- Publisher
- setheerwagen (GitHub) · 2 servers with pages here
- Repository
- github.com/setheerwagen/local-ai-mcp-servers (folder mcp-modelmanager)
- Source
- Registry API entry
Packages
| Registry | Package | Version | Transport |
|---|---|---|---|
| PyPI | mcp-modelmanager | 1.0.2 | stdio |
How to connect Model Manager
Model Manager runs locally from a Python package published to PyPI: mcp-modelmanager version 1.0.2. 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 mcp-modelmanager. It reads these environment variables: MM_VM_HOST (required), MM_VM_USER (required), MM_CONTAINER_ROOT (required), MM_MAX_TIER, MM_ENABLED_OPERATIONS and MM_VM2_HOST; 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-modelmanager": {
"command": "uvx",
"args": [
"mcp-modelmanager"
],
"env": {
"MM_VM_HOST": "<value>",
"MM_VM_USER": "<value>",
"MM_CONTAINER_ROOT": "<value>",
"MM_MAX_TIER": "<value>",
"MM_ENABLED_OPERATIONS": "<value>",
"MM_VM2_HOST": "<value>"
}
}
}
}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
More from setheerwagen (GitHub)
| Server | Runs |
|---|---|
| Ollama / vLLM BridgeCall your local Ollama or vLLM model over MCP with schema-validated JSON output. | Local · stdio |
More other servers
| Server | Runs |
|---|---|
| Mock ScreenshotsDeep links to pixel-perfect fake chat & screenshot generators (iMessage, WhatsApp & more). | Local · stdio |
| Mockups GallerySelf-hosted gallery for AI-generated mockups. MCP interface; token-efficient curl uploads. | Remote & Local · HTTP, SSE, stdio |
| Model CouncilConsult other LLMs as tools — ask them, compare their answers, synthesize a conclusion. | Local · stdio |
| Model ID CheatsheetAccurate API model IDs, pricing, and specs for 46 models across 7 AI providers. | Remote · SSE |
| Model ScannerScans ML model files (PyTorch, safetensors, Keras, ONNX) for supply-chain risks. | Local · stdio |
| Model ShuntModel routing for AI agents: delegate bulk reads & boilerplate to cheap worker models. | Local · stdio |
| ModelCostComparisonFind AI model pricing, estimate token costs and compare offers. No API key required. | Remote · HTTP |
| ModelmeterThe changelog of record for the AI stack: sunset checks, deprecations, pricing, and model events. | Remote · HTTP |