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Cursor Update: Custom Commands and MCP Resources Help Close the AI Programming Loop

Cursor Update: Custom Commands and MCP Resources Help Close the AI Programming Loop

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Cursor 1.6 is now fully available, adding custom commands, a faster and more stable Agent terminal, MCP resource support, and the /summarize feature. This new version allows developers to convert frequently used prompts into commands and combine AI terminal execution with long conversation summarization within the VS Code environment, achieving a complete closed-loop. I. Core Upgrades 1. Custom Commands: A New Way to Reuse Prompts Cursor 1.6 supports custom commands. Developers can define frequently used prompts as commands and reuse them across the team, eliminating repeated input and inconsistent styles, significantly improving collaboration efficiency. 2. Agent Terminal Upgrade: Faster and More Reliable The new Agent Terminal optimizes speed and stability, reducing execution freezes and unexpected exits. It is suitable for multi-tasking scenarios such as builds, testing, and deployments, further enhancing development fluency.

3. MCP Resource Access: Structured References to External Data

By supporting MCP resources, Cursor can bring information like databases, files, and service status into context, enabling more accurate model call and generation, while avoiding the noise introduced by pasted text.

4. /summarize Command: Efficiently Summarize Long Conversations

In complex collaborations and long contexts, the /summarize command can quickly extract key information, helping teams maintain focus and reducing context redundancy.


II. Team Implementation and Practice Path

1. Command Library Standardization: Accumulating Team Knowledge

High-frequency requirements such as code review, pull request templates, and repair processes can be consolidated into custom commands. These commands can be quickly distributed through a sharing mechanism to form unified development standards for the team.

2. MCP Integrated Application: Data and Tool Unification

By loading database structures, project files, and monitoring indicators through MCP resources, AI assistants can directly reference them in conversations, building a complete closed loop of "retrieval-generation-execution".

3. Workflow Closed Loop: Integration of Generation and Summarization

(1) Context Preparation: Use MCP resources to provide business and data input

(2) Generation and Execution: Call custom commands and execute them on the Agent terminal

(3) Summarization and Accumulation: Use /summarize to output concise conclusions and archive them

a. Security Policy

Ensure risk minimization through command permissions and whitelist restrictions.

b. Cost Optimization

Use cache and conversation summaries to reduce redundant computing overhead.

c. Collaboration Standards

The team shares a command library and summary output to ensure consistency.


Frequently Asked Questions (Q&A)

Q: What is the purpose of custom commands in Cursor 1.6?

A: Custom commands allow prompts to be fixed as shortcuts, supporting reuse and sharing, reducing repetitive input and maintaining consistent team standards.

Q: What are the benefits of the new Agent terminal optimizations for developers?

A: The terminal runs faster and more reliably, reducing lag and unexpected exits, making continuous builds and deployments smoother.

Q: How is MCP resource different from traditional text input?

A: MCP resources access data in a structured manner, allowing models to accurately call source information and avoid redundant and incorrect references.

Q: When is it appropriate to use the /summarize command?

A: When the conversation is long or multiple people need to reach a consensus, you can use /summarize to extract key information and keep the conversation lightweight and efficient.

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