MCP Client Streamlit Interface

What is MCP Client Streamlit Interface?

MCP Client Streamlit Interface is a web-based UI built with Streamlit that provides a simple way to interact with an MCP (Model Context Protocol) client. It runs in a browser and is intended for developers who want to send queries to MCP servers using a graphical interface rather than a command line.

How to use MCP Client Streamlit Interface?

Set up by installing Python 3.13+, running pip install -e ., and creating a .env file with a GEMINI_API_KEY. An optional SERPAPI_KEY enables web search. Start the interface with streamlit run main.py, then open http://localhost:8501. In the UI, enter the path to the server script (default server.py), type your query, and click "Process Query" to see the response.

Key features of MCP Client Streamlit Interface

• Streamlit-based graphical user interface for MCP client
• Supports Google Gemini API for language model interaction
• Optional SerpAPI integration for web search functionality
• Simple "Process Query" button workflow
• Default server script path for quick setup

Use cases of MCP Client Streamlit Interface

• Quickly test MCP server endpoints without coding
• Demonstrate MCP client capabilities in a visual environment
• Combine language model queries with optional web search results
• Provide a non‑command‑line interface for MCP experimentation

FAQ from MCP Client Streamlit Interface

What MCP server does the interface connect to?

The interface connects to a server defined by the script path (default server.py). No specific MCP server implementation is mandated, but the included environment expects a Gemini‑backed server.

Which API keys are required?

A GEMINI_API_KEY is required for the language model. An optional SERPAPI_KEY enables web search functionality.

What platforms or Python versions are supported?

The interface requires Python 3.13 or newer. It runs on any platform that supports Streamlit (Windows, macOS, Linux).

Is the interface free to use?

The README does not mention pricing. You pay for your own API usage (Gemini API, SerpAPI); the interface itself is open‑source.

Are there any known limitations?

No limitations are stated in the README. The interface is described as "simple" and may not support advanced MCP features or multiple concurrent queries.