After reviewing the forum, I noticed that some advanced users are attempting to implement a complete thought process chain: research, innovation, planning, execution, review, and automation of the entire process. This method integrates project documents with the in memory repository and supports real-time tracking of project requirement completion status. I would like to know if the cursor team will consider adding such features. Thank you for your consideration.
You might want to check out this project: MCP-Shrimp-task-manager. Itâs designed to help AI understand and manage the full project thinking process, including requirement tracking, development planning, and structural memory. Worth a look if youâre interested!
Thank you!
Thanks, thatâs fine, but it happens a lot, and it looks like there was an error adding the task. Let me continue to create a task list for my project by committing tasks in batches. Error calling tool âMCPâ . I need to do this by adding a smaller number of tasks several times:
You can install this MCP and add your MCP {âMcpServersâ: {âContext7â: {âCommandâ: âNPXâ, âArgsâ: [â-yâ,â@upstash Context7-mcp@latestâ]}} github: GitHub - upstash/context7: Context7 MCP Server -- Up-to-date documentation for LLMs and AI code editors about cursors, outstanding Advantages: * * * Say Goodbye to outdated code: * * Get Code samples based on the latest library versions. * * * no Api Illusions: * * generates code based on real, up-to-date API documentation. * * * versioning: * * gets information and solutions for specific library versions. * * * more efficient: * * less need to frequently switch tabs to find documents, reducing the interference of context switching. * * * results are reliable: * * greatly improves the accuracy and usability of AI-generated code.
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