# Local AI MCP

> Use this tool when you need to manage and orchestrate local model runtimes from various providers, such as Ollama and LM Studio, to streamline discovery, deployment, and inference. It solves problems of fragmented model management and hardware compatibility, providing a unified interface for lifecycle management and delegated inference. The Local AI MCP tool takes in local model runtimes and hardware configurations as inputs and outputs managed model instances and inference results.

Canonical page: https://skillsregistry.net/skills/tmhsdigital-local-ai-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tmhsdigital-local-ai-mcp

## Description

Unified MCP server for managing local model runtimes (Ollama, LM Studio, etc.), enabling provider-agnostic discovery, lifecycle management, hardware-fit checks, and delegated inference.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pvmnw7aink)
- **Repository:** <https://github.com/TMHSDigital/local-ai-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tmhsdigital-local-ai-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tmhsdigital-local-ai-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tmhsdigital-local-ai-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt