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Study MCP Server
This is an example project of an MCP server based on Node.js and TypeScript for learning purposes.
rating : 2 points
downloads : 8
What is the MCP server?
The MCP server is a tool for managing and coordinating interactions between different AI models. It simplifies the model integration and invocation process through a unified interface, enabling developers to build complex AI applications more easily.How to use the MCP server?
First, install the dependency packages, then start the server, and finally write client requests according to the API documentation. The specific steps are as follows: 1. Install dependencies; 2. Start the service; 3. Test the connection.Applicable scenarios
The MCP server is suitable for application scenarios that require multi - model collaboration, such as intelligent customer service systems, automated data analysis platforms, and cross - domain knowledge integration tools.Main features
Model registration and managementSupports dynamic addition and deletion of model instances, facilitating flexible system expansion.
Context awarenessCan understand context information to improve response accuracy and efficiency.
Real - time monitoringProvides real - time status monitoring function for quick problem diagnosis.
Advantages and limitations
Advantages
Easy to integrate multiple AI models
Efficient communication mechanism improves performance
Powerful error handling ability ensures stability
Limitations
May need optimization for high - concurrency scenarios
Some advanced features are still under development
How to use
Install dependencies
Run `npm install` to install all the dependencies required by the project.
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Start the server
Execute `npm run start` or directly run `node server.js` to start the MCP server.
Test the connection
Use an HTTP tool (such as Postman) to send a request to verify if the server is working properly.
Usage examples
Case 1: Basic status querySend a GET request to obtain the basic running status of the current server.
Case 2: Model registrationAdd a new AI model instance to the server.
Frequently Asked Questions
How to ensure the security of the MCP server?
What should I do if I encounter model response delay?
Does it support custom model protocols?
Related resources
Official documentation
Detailed usage guide and technical reference.
GitHub code repository
Source code address and contribution guide.
Community forum
User communication and feedback platform.
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