💬 MCP Assistant Playground

Created By
niawjuniora year ago
A Streamlit-based chatbot interface powered by OpenAI GPT-4o that intelligently routes user input to custom MCP tools such as GPT chat, image generation, Supabase queries, and text-to-speech.
Overview

What is MCP Assistant Playground?

MCP Assistant Playground is a Streamlit-based chatbot interface powered by OpenAI GPT-4o that intelligently routes user input to custom MCP tools such as GPT chat, image generation, Supabase queries, and text-to-speech.

How to use MCP Assistant Playground?

To use MCP Assistant Playground, clone the repository, set up a virtual environment, install the dependencies, configure your environment variables, and run the application. Access the chat interface via your web browser at http://localhost:8501.

Key features of MCP Assistant Playground?

  • Natural language tool selection using GPT-4o
  • MCP tool execution via fastmcp
  • Real-time OpenAI image generation (DALL·E 3)
  • Text-to-speech audio synthesis (GPT-4o mini TTS)
  • Supabase integration for member CRUD operations
  • Streamlit UI with tool result rendering (image/audio)

Use cases of MCP Assistant Playground?

  1. Engaging in natural language conversations with AI.
  2. Generating images based on user prompts.
  3. Performing CRUD operations on Supabase members.
  4. Converting text to speech for audio outputs.

FAQ from MCP Assistant Playground?

  • What are the prerequisites to run MCP Assistant Playground?

You need Python 3.10+, an OpenAI API key, and optionally a Supabase project for member tools.

  • Is there a web interface for the application?

Yes! You can access the chat interface through your web browser after running the application.

  • Can I customize the tools used in the playground?

Yes! The playground allows for rapid experimentation with AI-powered tool routing.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
niawjunior
Star
0
Language
Python
License
-

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