MCP Assistant Playground

MCP Assistant Playground

An intelligent chatbot based on Streamlit that uses GPT-4o to automatically route user requests to different tools (such as chatting, image generation, database queries, voice synthesis, etc.), supporting rapid experimentation with AI tool routing functions.

Artificial intelligence chatbots Developer tools #Intelligent Routing #AI Tools #Chatbot #Voice Synthesis .Python

rating : 2 points

downloads : 10

update time : 2025-04-29

What is the MCP Assistant Player?

The MCP Assistant Player is a chatbot interface powered by Streamlit. It uses OpenAI GPT-4o to intelligently route user input to custom tools, such as text conversations, image generation, database queries, and text-to-speech functions. This platform aims to quickly experiment with AI-driven tool routing, inspired by the Claude-style confirmation process.

How to use the MCP Assistant Player?

First, you need to set up an environment variable file (.env), then install the dependencies and run the application. Once launched, you can access the interface through a browser and start interacting with the chatbot.

Applicable Scenarios

Suitable for application developers who need to integrate multiple AI functions, researchers, and individual users who want to explore the possibilities of AI tool combinations.

Main Features

Natural Language Tool SelectionAnalyze user input through GPT-4o and automatically assign it to the appropriate tool.

Image GenerationGenerate high-quality images in real-time using the OpenAI DALL·E 3 model.

Text-to-SpeechSynthesize audio using the GPT-4o micro TTS module.

Supabase IntegrationSupport CRUD operations on the Supabase database for easy management of member data.

Advantages and Limitations

Advantages

High flexibility, allowing new tools to be easily added.

Intuitive user interface design.

Powerful combination of AI-driven functions.

Open source with a free trial version available.

Limitations

Requires some knowledge of Python programming.

Some advanced features may depend on paid API keys.

The processing speed may slow down for very large datasets.

How to Use

Clone the Project Repository

Clone the source code of the MCP Assistant Player from GitHub.

Set Up a Virtual Environment

Create and activate a Python virtual environment.

Install Dependencies

Ensure that all necessary Python packages are installed.

Configure Environment Variables

Create a file named .env in the root directory and fill in your API keys and other necessary information.

Start the Application

Run the launch.py script to start the service.

Usage Examples

Generate a Landscape ImageRequest to generate an image depicting mountains and lakes.

Query Member InformationQuery specific member records in the Supabase database.

Text-to-SpeechConvert a piece of text into speech output.

Frequently Asked Questions

How do I start my first session?

Does it support multiple languages?

Why do my requests sometimes fail?

Related Resources

Official Documentation

Visit the GitHub homepage to get more information about the MCP Assistant Player.

Example Code

View some practical examples to understand how to use this tool.

Video Tutorial

Watch a short video to learn how to get started quickly.

Featured MCP Services

A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.

Duckduckgo MCP Server

The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.

Markdownify MCP

Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.

Gitlab MCP Server

The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.

Figma Context MCP

Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.

UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.

Minimax MCP Server

The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.

Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.

AIbase

Zhiqi Future, Your AI Solution Think Tank

English 简体中文繁體中文にほんご

© 2025AIbase