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MCP Server Example V2
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MCP Server Example V2

A simple MCP server example based on FastAPI, providing basic health check and context services for processing parameterized prompt templates.
Artificial intelligence chatbotsDeveloper tools#MCP service#FastAPI#Prompt template#Context processing.Python
2.5 points
160

What is an MCP server?

The MCP server is an intelligent service that helps you manage and process various prompt templates. It can dynamically generate context content based on the parameters you provide, and is suitable for various AI application scenarios such as chatbots and intelligent assistants.

How to use the MCP server?

Simply send a request containing the prompt ID and parameters, and the server will return the processed context content. You can integrate it into your application through simple API calls.

Applicable scenarios

Suitable for AI applications that need to dynamically generate text content, such as personalized greetings, content recommendation, and intelligent customer service scenarios.

Main features

Health checkProvides server status check function to ensure the normal operation of the service
Context processingCan process prompt templates with parameters to generate dynamic context content
Template supportSupports a variety of predefined prompt templates for easy and quick use

Advantages and limitations

Advantages
Simple and easy-to-use API interface
Fast response and processing capabilities
Flexible template parameter support
Limitations
The number of currently supported templates is limited
Requires basic knowledge of API calls
Performance is limited by server configuration

How to use

Install dependencies
Ensure that Python and necessary dependency packages are installed
Start the server
Start the service using the uvicorn command
Call the API
Interact with the server through HTTP requests

Usage examples

Personalized greetingsGenerate different greetings based on time
Content recommendationRecommend content based on user preferences

Frequently Asked Questions

What should I do if the server fails to start?
How to add a new prompt template?
What should I do if the API call returns an error?

Related resources

FastAPI official documentation
Understand the usage method of the underlying framework
GitHub repository
Get the source code and the latest version
MCP protocol description
Understand the detailed specifications of the Model Context Protocol
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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