time vs LLaMa-MCP-Streamlit
Side-by-side comparison to help you pick between these two MCP servers.
time by modelcontextprotocol | LLaMa-MCP-Streamlit by Nikunj2003 | |
|---|---|---|
| Stars | ★ 85,748 | ★ 43 |
| 30d uses | — | — |
| Score | 77 | 36 |
| Official | ✓ | — |
| Categories | ProductivityDeveloper ToolsCommunication | AI / LLM ToolsDeveloper ToolsProductivity |
| Language | TypeScript | Python |
| Last commit | this month | 15 mo ago |
time · Summary
A comprehensive MCP server providing time and timezone conversion tools with automatic system timezone detection.
LLaMa-MCP-Streamlit · Summary
A Streamlit AI assistant using MCP to enable tool interactions with LLaMa 3.3 or Ollama models.
time · Use cases
- Assisting with international meeting scheduling across time zones
- Providing real-time time information for location-based queries
- Enabling time conversion for travel planning and itineraries
LLaMa-MCP-Streamlit · Use cases
- Creating an interactive chat interface that can execute commands via MCP
- Building a custom AI assistant with access to file system tools
- Developing a prototype for LLM applications with external tool integration
time · Install
Installation Options
**Using uv (recommended):**
uvx mcp-server-time**Using PIP:**
pip install mcp-server-time
python -m mcp_server_time**Configure for Claude Desktop:**
{
"mcpServers": {
"time": {
"command": "uvx",
"args": ["mcp-server-time"]
}
}
}LLaMa-MCP-Streamlit · Install
Installation Steps
- Clone the repository
- Set up environment variables in
.envfile:
```bash # NVIDIA NIM API API_ENDPOINT=https://integrate.api.nvidia.com/v1 API_KEY=your_api_key_here
# Ollama API_ENDPOINT=http://localhost:11434/v1/ API_KEY=ollama ```
- Install dependencies using Poetry:
``bash poetry install ``
- Run the Streamlit app:
``bash poetry run streamlit run llama_mcp_streamlit/main.py ``
To use with Claude Desktop, add to claude_desktop_config.json:
{
"mcpServers": {
"llama-mcp-streamlit": {
"command": "python",
"args": ["path/to/llama_mcp_streamlit/utils/mcp_server.py"]
}
}
}