# LLaMa-MCP-Streamlit

> LLaMa-MCP-Streamlit — nikunj2003-llama-mcp-streamlit. Use this tool when you need to leverage a powerful AI assistant for general-purpose tasks, such as generating text or answering questions, with the ability to integrate with git for version control. It utilizes the LLaMa 3.3 model and Model Control Protocol (MCP) to provide accurate and controlled outputs. Ideal for use cases requiring AI-driven insights and automation, with a user-friendly Streamlit interface for input and output management.

Canonical page: https://skillsregistry.net/skills/nikunj2003-llama-mcp-streamlit  
JSON: https://api.skillsregistry.net/v1/skills/nikunj2003-llama-mcp-streamlit

## Description

AI assistant built with Streamlit, NVIDIA NIM (LLaMa 3.3:70B) / Ollama, and Model Control Protocol (MCP).

## Trust

- **Trust score (0–1):** 0.91
- **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/Nikunj2003/LLaMa-MCP-Streamlit)

## 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": "nikunj2003-llama-mcp-streamlit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nikunj2003-llama-mcp-streamlit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nikunj2003-llama-mcp-streamlit/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