Cursor Cloud Agent MCP
This is an MCP server developed for the Cursor cloud agent API, which allows AI assistants to create and manage cloud agent tasks on GitHub repositories, providing functions such as task creation, status monitoring, and viewing conversation history.
rating : 2.5 points
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What is the Cursor Cloud Agent MCP Server?
This is a Model Context Protocol (MCP) server specifically designed to connect AI assistants (such as Cursor, Claude, etc.) with Cursor's cloud agent API. It allows AI assistants to perform automated tasks on GitHub repositories, such as: - Automatically write and modify code - Create documents and README files - Fix bugs and implement new features - Automatically create Pull Requests In essence, it gives AI assistants the 'ability to act' and directly perform tasks in the code repository.How to use the Cursor Cloud Agent MCP Server?
The usage process is divided into three main steps: 1. **Installation and Configuration**: Install the server via npm and configure the API key. 2. **Connect the AI Assistant**: Configure the MCP connection in Cursor or Claude Desktop. 3. **Send Tasks**: The AI assistant creates and manages cloud agent tasks through the tool. The AI assistant can detect the current GitHub repository, create tasks, monitor progress, and view results.Use Cases
This tool is particularly suitable for the following scenarios: - **Automated Code Maintenance**: Automatically update dependencies and fix security vulnerabilities. - **Documentation Generation**: Automatically generate or update documentation for the project. - **Feature Development**: Implement small features or fix bugs. - **Code Refactoring**: Improve the code structure and quality. - **Test Coverage**: Add test cases. - **CI/CD Optimization**: Improve build and deployment scripts.Main Features
GitHub Repository Detection
Automatically detect information about the current GitHub repository, including the repository URL, branch status, and uncommitted changes. The AI assistant can create tasks based on the current working environment.
Cloud Agent Task Management
Create, monitor, and manage cloud agent tasks. Support task status tracking (creating, running, completed, etc.), and view the progress at any time.
Automatic Pull Request
Automatically create a GitHub Pull Request after the task is completed, facilitating code review and merging. You can specify the branch name and PR settings.
Task Follow - up
Send additional instructions during the task execution process to guide the agent to complete more complex multi - step tasks.
View Conversation History
View the complete conversation history between the AI agent and the system to understand the specific process and decision - making basis of task execution.
Parallel Task Planning
Decompose large - scale projects into multiple independent tasks that can be executed in parallel to improve efficiency. The system will automatically analyze task dependencies.
Multi - Model Support
Support multiple AI models (such as Claude - 4 - Sonnet - Thinking, o3, etc.), and select the appropriate model according to task requirements.
Flexible Deployment Options
Support two operating modes: HTTP server and Stdio server, facilitating integration and use in different environments.
Advantages
High degree of automation: AI can fully autonomously execute code modification tasks.
Seamless integration with GitHub: Directly operate the repository and automatically create PRs.
Transparent task status: Real - time monitoring of task progress and status.
Support for complex tasks: Support multi - step tasks through follow - up instructions.
Parallel processing capability: Plan parallel tasks to improve efficiency.
Easy to integrate: Support multiple AI assistants (Cursor, Claude, etc.).
Limitations
Requires an API key: Must have access to the Cursor Cloud Agents API.
GitHub dependency: Only supports GitHub repositories and does not support other code hosting platforms.
Rate limit: There are strict API call limits when retrieving all repositories.
Learning curve: Need to understand the MCP protocol and configuration methods.
Network dependency: Requires a stable network connection to access the API.
Cost consideration: Using the cloud agent service may incur fees.
How to Use
Install the MCP Server
Install the MCP server globally or locally via npm.
Set the API Key
Obtain the Cursor API key and set it as an environment variable.
Configure the AI Assistant
Configure the MCP server connection in Cursor or Claude Desktop.
Start Using
The AI assistant can now use various tools to manage cloud agent tasks.
Usage Examples
Automatic Documentation Generation
Automatically create a complete README document for the project, including installation instructions, usage examples, and API documentation.
Code Security Fix
Automatically scan and fix security vulnerabilities in the code, such as dependency vulnerabilities or sensitive information leakage.
Feature Implementation
Implement a new functional module according to the requirement description.
Code Refactoring
Improve the structure and quality of the existing code to enhance maintainability.
Frequently Asked Questions
What do I need to use this MCP server?
Is this service free?
Which GitHub repositories are supported?
How long does task execution take?
How can I ensure that AI does not damage my code?
Can I cancel a task?
Does it support team collaboration?
How can I get help if I encounter problems?
Related Resources
GitHub Repository
The project's source code and latest version.
Cursor Cloud Agents API Documentation
Official API documentation and interface descriptions.
Model Context Protocol Specification
Technical specifications and standards for the MCP protocol.
npm Package Page
Package information and installation instructions on npm.
Cursor Official Website
The official website of the Cursor AI code editor.

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