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L2c Ctfs MCP
A project implementing an L2C CTFs MCP server and client based on Azure Functions, including server-side and client-side libraries.
rating : 2.5 points
downloads : 148
What is Model Context Protocol (MCP)?
MCP is a protocol for model context interaction that allows users to communicate efficiently with remote models over the network. It simplifies the model deployment and invocation process and is suitable for application scenarios that require real-time responses.How to use MCP?
Users only need to install the client tool and configure the server address to start using it quickly. Through simple command-line operations, model queries and invocations can be easily implemented.Applicable Scenarios
MCP is suitable for scenarios that require real-time model inference, such as intelligent customer service, recommendation systems, and medical diagnosis. It can significantly improve the system's response speed and service quality.Main Features
Cross-platform SupportMCP supports multiple operating systems, including Windows, Linux, and macOS.
High-performance CommunicationA communication mechanism optimized based on Azure Functions ensures low latency and high throughput.
Flexible ExpansionSupports dynamically adding and removing model instances to meet different business needs.
Advantages and Limitations
Advantages
Easy to use without complex configuration
Supports multi-language clients
Powerful performance
Limitations
Requires a certain network environment
Some advanced features may require additional payment
How to Use
Install Dependencies
Ensure that Python 3.x and the UV tool are installed, and run `uv sync` to install the necessary dependencies.
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Start the Server
Run the command on the server side to start the MCP service.
Connect the Client
Configure the server address on the client and then perform query operations.
Usage Examples
Intelligent Customer Service ScenarioCall a pre-trained dialogue model through MCP to provide real-time Q&A services for users.
Image Recognition ApplicationUse MCP to access an image classification model to achieve automated label generation.
Frequently Asked Questions
How to check if the MCP server is working properly?
Why can't my client connect to the server?
Related Resources
Official Documentation
Complete documentation and tutorials for the MCP project
GitHub Code Repository
Source code and sample code
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