MCP Brower Use
An MCPAgent interactive application based on Streamlit, with functions such as conversation memory, web search, and model selection, providing a modern and responsive user interface.
rating : 2 points
downloads : 4.7K
What is the Advanced MCP Agent Streamlit App?
This is an interactive chat application that integrates the intelligent conversation function of the MCPAgent, has the ability to remember the context, supports web browsing and search, and provides multiple model options.How to use the Advanced MCP Agent?
Chat with the AI assistant through a simple interface. It can remember the conversation context to help you obtain information or complete tasks.Use Cases
Suitable for users who need an intelligent assistant to query information, conduct multi - round conversations, or explore AI capabilities.Main Features
Intelligent Conversation
Interact with the MCPAgent in natural language and get intelligent responses
Conversation Memory
The AI can remember the previous conversation content to keep the context coherent
Web Browsing
Supports online search and browsing of web content
Multiple Model Selection
You can select the most suitable one from multiple AI models
Advantages
An intuitive and easy - to - use chat interface
Keeps the conversation context for a more natural experience
Supports online access to the latest information
Fast response speed
Limitations
Requires an API key to use all functions
Initialization time is required for the first startup
Some context may be lost during long - term conversations
How to Use
Install Dependencies
Ensure that Python 3.11 or a later version is installed, and then install the required dependencies
Set the API Key
Add your GROQ_API_KEY in the.env file
Start the Application
Run the Streamlit application to start using
Usage Examples
Information Query
Ask the MCPAgent for information about a certain topic
Multi - Round Conversation
Continue to ask questions based on the previous conversation content
Frequently Asked Questions
How to obtain the GROQ_API_KEY?
How long can the conversation history be saved?
Which AI models are supported?
Related Resources
Streamlit Official Documentation
A guide on using the Streamlit framework
GROQ API Documentation
The official documentation of the GROQ API
Project GitHub Repository
The source code of this application

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