This New Roo Code Memory MCP IS INSANE (AND FREE)



AI Summary

Overview

The video covers the process of creating a custom MCP (Memory Controlled Prompt) server based on the R code memory bank project, highlighting the author’s personal implementation and optimizations.

Key Steps

  1. Creating Your Own MCP Server
    • The author emphasizes the simplicity of building an MCP server and recommends using existing resources like the Sequential Thinking MCP server.
    • Two GitHub links are provided for reference (not specified in detail).
  2. Clone and Dissect Projects
    • Instructions include cloning the relevant projects into a new directory and dissecting them to understand the implementation.
    • The author uses this as a foundation to adjust the R code memory bank methods.
  3. Implementation
    • The process is described as straightforward, mainly requiring configuration adjustments and ensuring client settings are integrated properly.
    • The author mentions the need to check if all files have been read correctly and makes necessary prompts before testing.
  4. Testing the Memory Bank
    • Initial tests reveal issues with connecting to the memory bank, leading the author to adjust settings to ensure proper functionality.
    • Concerns about context retention across subtasks are addressed, which enhances overall task management.
  5. Publishing and Community Sharing
    • The author plans to publish the MCP server on GitHub, aiming to simplify the process for the community. Impressions of GitHub’s functionalities compared to other systems are shared.
    • The video concludes with the assurance that the new setup can benefit users by retaining crucial task information.

Conclusion

The video aims to encourage users to create their own MCP servers effectively while sharing resources and personal insights into enhancements made to existing frameworks, promoting a do-it-yourself approach in tech.