What dependencies are required to run time-mcp?
Python 3.7+ and the packages listed in `requirements.txt`. Also need an OpenRouter API key set as the `OPENROUTER_API_KEY` environment variable.
@suryawanshishantanu6
Basic information
MCP Server which returns current timestamp with streamlit app
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"time-mcp-suryawanshishantanu6": {
"command": "python",
"args": [
"flask_api.py"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
time-mcp is a minimal agentic AI system that answers time-related and general questions using a tool-augmented LLM pipeline. It integrates a Flask API for the current timestamp, an MCP agent server for reasoning and tool calling, and a Streamlit chat interface.
Set the OPENROUTER_API_KEY environment variable, then run three components in separate terminals: python flask_api.py for the time API, python mcp_server.py for the MCP agent server, and streamlit run streamlit_ui.py for the UI. Open the Streamlit UI in your browser (default http://localhost:8501) and ask questions.
Python 3.7+ and the packages listed in `requirements.txt`. Also need an OpenRouter API key set as the `OPENROUTER_API_KEY` environment variable.
The system uses an OpenRouter API key for LLM access. The Flask time API does not require authentication.
Yes. Implement new methods in the `MCPAgent` class and update `self.tools`. You can also improve intent detection by extending `detect_intent()`.
The model is defined in the `call_llm()` method and can be changed by updating the `model` field. It uses OpenRouter, which provides access to various models.
Yes, a Streamlit UI is provided. Run `streamlit run streamlit_ui.py` to open the chat interface in your browser.
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