LLaMa MCP Streamlit
pipStandardLLaMa MCP Streamlit provides a web interface for AI agents to interact with LLaMa 3.3:70B via NVIDIA NIM or Ollama. It exposes real-time data processing and conversation capabilities through Streamlit. Developers use it to build interactive AI assistants that integrate with these large language models.
43170Updated 2/9/2025
Overview
LLaMa MCP Streamlit provides a web interface for AI agents to interact with LLaMa 3.3:70B via NVIDIA NIM or Ollama. It exposes real-time data processing and conversation capabilities through Streamlit. Developers use it to build interactive AI assistants that integrate with these large language models.
Installation
1Install the package
pip
pip install LLaMa-MCP-Streamlit2Add to Claude
Add this configuration to your claude_desktop_config.json:
claude_desktop_config.json
{
"mcpServers": {
"nikunj2003-llama-mcp-streamlit-github": {
"command": "uvx",
"args": [
"pip install LLaMa-MCP-Streamlit"
]
}
}
}3Verify installation
Restart Claude Desktop, then ask:
"What tools do you have available from LLaMa MCP Streamlit?"
Prerequisites
- Python 3.10 or higher
- pip or uv package manager
- Claude Desktop or Claude API access
- API key for LLaMa MCP Streamlit
Configuration
API Key Required
This server requires an API key from LLaMa MCP Streamlit. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| LLAMA_MCP_STREAMLIT_API_KEY | Yes | Your LLaMa MCP Streamlit API key |
Usage Examples
List Resources
"What resources are available in LLaMa MCP Streamlit?"
Claude will query available resources and return a list of what you can access.
Get Details
"Show me details about [specific item] in LLaMa MCP Streamlit"
Claude will fetch and display detailed information about the requested item.
Create New
"Create a new [item] in LLaMa MCP Streamlit with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
Works with LLaMa MCP Streamlit
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