Claude Server
Claude Server MCP is an early - stage context management server that provides cross - session persistent context management for Claude, supporting project - based organization and conversation continuity.
rating : 2.5 points
downloads : 7.3K
What is Claude Server MCP?
Claude Server MCP is a Model Context Protocol (MCP) server designed to enhance the user experience through organized context management. It allows users to save and restore conversation states between different sessions and classify and retrieve contexts according to project requirements.How to use Claude Server MCP?
Through a simple command - line tool or API interface, you can easily save, retrieve, and manage contexts. You can start using it in just a few steps.Applicable scenarios
Suitable for teams and individuals who need to save conversation records for a long time, collaborate across projects, and ensure conversation continuity.Main features
Project context management
Supports creating, editing, and deleting project - related contexts, and can establish parent - child relationships and references.
Conversation continuity
Automatically tracks the conversation history to ensure seamless衔接 in each conversation.
Efficient storage system
Stores data in JSON format for easy and quick lookup and management.
Advantages
Powerful context organization ability
Enhanced workflow efficiency
Easy to integrate into existing systems
Limitations
It is still in the early development stage, so it is not recommended for production environments.
There are some compatibility and security issues.
How to use
Install dependencies
Run npm install to install all necessary dependencies.
Build the server
Use the npm run build command to generate server files.
Start the server
Ensure the configuration file is set correctly and then start the server.
Usage examples
Save project context
Demonstrate how to save the context of a new project.
Retrieve context
Show how to retrieve a previously saved context.
Frequently Asked Questions
Is Claude Server MCP ready for production environments?
How to solve the problem of context loss?
Related resources
Official documentation
Detailed usage guides and technical documentation.
GitHub repository
The place for source code and the latest updates.

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