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MCP Server Client Assessment

A client-server system based on MCP. The client sends queries, and the server processes them through the Ollama LLM, generates system commands, executes them, and then returns the results.
2 points
18

What is an MCP server?

The MCP server is a client-server system based on the Model Context Protocol (MCP). It allows users to send requests via the client. The server uses the Ollama large language model to generate commands, executes the commands, and then returns the results. This system is implemented using technologies such as FastAPI, FastMCP, aiohttp, and subprocess.

How to use the MCP server?

You need to start the server first and then run the client program. The client will receive your requests, and the server will process them and return the results. The whole process is simple and fast.

Applicable scenarios

The MCP server is suitable for automated tasks, data analysis, code generation, and other task scenarios that require real-time interaction.

Main Features

Multimodal InteractionSupports multiple input methods, such as text and commands, to meet the usage habits of different users.
Real-time Command ExecutionResponds quickly to user requests and generates and executes commands immediately.
Flexible ScalabilityThe functionality can be enhanced by adding new modules.

Advantages and Limitations

Advantages
Responds quickly to user requests.
Supports integration with multiple programming languages and tools.
Easy to deploy and maintain.
Limitations
The Ollama model needs to be installed and ensured to run properly.
It has a certain dependence on the network environment.

How to Use

Install Dependencies
Ensure that Python 3.8+ and the pip package manager are installed.
Start the Server
Run the following command in the terminal to start the server.
Run the Client
Run the client program in another terminal window.

Usage Examples

Calculate DateSend a request to the server to calculate the date 7 days before the current date.
Generate Weather DescriptionSend a request to the server to generate a description of the weather.

Frequently Asked Questions

How to install the Ollama model?
What if the server fails to start?
How does the client communicate with the server?

Related Resources

Ollama Official Website
Ollama model download and installation guide.
GitHub Code Repository
Project source code and more detailed information.
FastAPI Official Documentation
Understand the basics of FastAPI.
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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