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MCP LLM Sample
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MCP LLM Sample

This project implements a Langchain - based chatbot system by building multiple MCP servers (mathematical calculation, weather query, LLM selection) and a client. Users can interact with the robot through the Streamlit interface.
Artificial intelligence chatbotsEducation and learning tools#Multi - service#Chatbot#Interface Bridging.Python
2 points
21

What is the MCP service system?

MCP is a distributed AI service framework that splits different functions into independent service modules. The current system includes three core services: mathematical calculation service, weather query service, and AI model recommendation service. Each service runs on an independent port.

How to use MCP services?

Interact with all services through a unified Web interface, and the system will automatically route requests to the corresponding functional modules. Users don't need to care about the underlying service distribution.

Applicable scenarios

Suitable for application scenarios that require combining multiple AI capabilities, such as intelligent assistants, data analysis tools, and educational applications.
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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Notte Browser
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B
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C
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M
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S
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O
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Open Multi - Agent Canvas is an open - source multi - agent chat interface that supports managing multiple agents in dynamic conversations for travel planning, research, and general task processing.
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