C

Context Continue MCP

A smart context management MCP server for context tracking, recovery, and project management in AI development sessions, avoiding the loss of conversation context due to token limitations.
2 points
1

What is the Model Context Protocol (MCP) Server?

The MCP server is a smart context management tool designed specifically for AI development sessions. It can automatically track conversation content, monitor token usage, and generate recovery prompts when needed to ensure that your work is not interrupted by token limitations.

How to use the MCP server?

The MCP server can be installed and configured via the command line and integrated with AI tools such as Claude Desktop. You can use specific commands to start tracking sessions, record important messages, or generate recovery prompts.

Use Cases

Suitable for scenarios that require long - term AI development work, such as code writing, project planning, and technical discussions. It is especially suitable for developers who need to maintain context coherence.

Main Features

Automatic Context TrackingAutomatically monitor conversation content and token usage to ensure that you don't miss any important information.
Intelligent Session SegmentationRemind you when approaching the token limit to help you arrange session time reasonably.
Seamless RecoveryAutomatically generate recovery prompts when you need to restart the session to help you quickly resume your previous progress.
Project ManagementTrack project milestones, decisions, and progress to help you better manage the development process.
File StorageSave data using Markdown files, which is convenient for integration with git and version control.

Advantages and Limitations

Advantages
Avoid work interruptions caused by token limitations
Provide clear context management to improve development efficiency
Support integration with multiple AI tools for flexible use
The file storage method is easy to understand and maintain
Limitations
Requires a certain technical background for configuration and use
May require additional settings for very complex projects
Currently designed mainly for developers and may not be very suitable for ordinary users

How to Use

Install the MCP Server
Install the MCP server globally using npm.
Configure AI Tools
Add the MCP server to the configuration of your AI tools (such as Claude Desktop).
Start a Session
Use the `context_start_session` command to start tracking a new session.
Record Important Information
Use the `context_track_message` command to record important messages.
Generate a Recovery Prompt
When you need to restart the session, use the `context_restore_session` command to generate a recovery prompt.

Usage Examples

Developing a New FeatureWhen developing a new feature, use the MCP server to track all conversations and decisions to ensure that team members are aware of the project's latest status.
Solving Complex ProblemsWhen solving complex problems, use the MCP server to record the thinking process of each step to ensure that you can easily review it later.

Frequently Asked Questions

Is the MCP server free?
Does the MCP server support all AI tools?
How to handle errors in the MCP server?
Where does the MCP server store data?

Related Resources

GitHub Repository
Source code and documentation for the MCP server
Official Documentation
Detailed usage instructions and API references
Community Support
Submit issues and get help on GitHub
Video Tutorials
Video tutorials on how to use the MCP server
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "context-continue": {
      "command": "context-mcp",
      "args": ["--project", "/path/to/your/project"]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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