# DemoMCPwLocalLLM

> DemoMCPwLocalLLM — hokagem-demomcpwlocalllm. Use this tool when you need to develop and configure MCP clients and servers with local LLM integration, and require examples in both Python and TypeScript. It solves problems related to setting up MCP architectures and demonstrates how to interface with local LLM models. The tool provides code templates and configuration examples as output, taking programming language and framework choices as input.

Canonical page: https://skillsregistry.net/skills/hokagem-demomcpwlocalllm  
JSON: https://api.skillsregistry.net/v1/skills/hokagem-demomcpwlocalllm

## Description

This is a demo project showing how to create an MCP client with a local LLM in both Python and TypeScript. It also demonstrates how to configure an MCP server in Python (with FastAPI) and in TypeScript.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/HokageM/DemoMCPwLocalLLM)

## 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": "hokagem-demomcpwlocalllm"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hokagem-demomcpwlocalllm` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hokagem-demomcpwlocalllm/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