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MCP Rcp Server
A command - line tool project for accessing the JSON - RPC API, supporting functions such as system information query and note management.
rating : 2 points
downloads : 14
What is the MCP server?
The MCP server is a middleware system for managing and coordinating multiple AI models. It allows developers to access different AI models through a unified interface and supports complex context management functions.How to use the MCP server?
First, install the MCP server, then configure your AI models and start the service. You can start using it by sending requests through the JSON - RPC interface.Application scenarios
The MCP server is suitable for enterprise - level applications that need to integrate multiple AI models, intelligent customer service systems, and data analysis platforms.Main Features
Unified API InterfaceSimplify the model invocation process through the JSON - RPC standard interface.
Context ManagementAutomatically save and restore the conversation context to ensure the consistency of continuous interactions.
Multi - model IntegrationSupport seamless access and collaborative operation of multiple mainstream AI models.
Advantages and Limitations
Advantages
Simplify the development process and reduce repetitive work
Improve the collaboration efficiency between models
Strong cross - platform compatibility
Limitations
High demand for hardware resources
Requires certain configuration knowledge
How to Use
Download and Installation
Clone the code from the official repository and install the dependencies according to the documentation.
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Configure Models
Edit the configuration file to add or modify supported AI models.
Start the Service
Execute the startup script to run the MCP server.
Usage Examples
Create a NoteDemonstrate how to use the MCP server to create a new note record.
Get System InformationShow how to get the current running status of the system.
Frequently Asked Questions
How to install the MCP server?
Does it support custom models?
Why is context management needed?
Related Resources
Official Documentation
Detailed user manual and technical guide.
GitHub Repository
Open - source code repository. Contributions are welcome.
Video Tutorial
Quick - start video.
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