# local-llm-mcp

> local-llm-mcp — drangoht-local-llm-mcp. Use this tool when you need to optimize cloud model usage and reduce costs by offloading token-expensive tasks to a local model. It solves problems related to excessive cloud context usage by delegating tasks locally and returning processed results. The local-llm-mcp tool takes in files and tasks as input, processes them locally, and outputs the results, making it ideal for use cases where cloud model control and local processing are necessary.

Canonical page: https://skillsregistry.net/skills/drangoht-local-llm-mcp  
JSON: https://api.skillsregistry.net/v1/skills/drangoht-local-llm-mcp

## Description

MCP server connecting Claude Code to LM Studio, delegating token-expensive tasks to a local model while keeping the cloud model in control. It reduces cloud context usage by reading files locally and returning only the processed results.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/buowdl8etg)
- **Repository:** <https://github.com/drangoht/local-llm-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": "drangoht-local-llm-mcp"
    }
  }
}
```

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

---
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
