Cursor Cloud Agent MCP
C

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.
2.5 points
8.1K

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.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "cursor-cloud-agent": {
      "command": "npx",
      "args": ["-y", "cursor-cloud-agent-mcp"],
      "env": {
        "CURSOR_API_KEY": "${env:CURSOR_API_KEY}"
      }
    }
  }
}

{
  "mcpServers": {
    "cursor-cloud-agent": {
      "command": "cursor-cloud-agent-mcp",
      "env": {
        "CURSOR_API_KEY": "${env:CURSOR_API_KEY}"
      }
    }
  }
}

{
  "mcpServers": {
    "cursor-cloud-agent": {
      "command": "npm",
      "args": ["run", "start:stdio"],
      "env": {
        "CURSOR_API_KEY": "${env:CURSOR_API_KEY}"
      }
    }
  }
}

{
  "mcpServers": {
    "cursor-cloud-agent": {
      "url": "http://localhost:3000/mcp",
      "headers": {}
    }
  }
}

{
  "mcpServers": {
    "cloud-agent": {
      "type": "http",
      "url": "http://localhost:3000/mcp"
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
8.4K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
8.2K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
5.0K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
9.3K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
7.2K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
8.1K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
6.6K
4 points
U
Uniprof
Uniprof is a tool that simplifies CPU performance analysis. It supports multiple programming languages and runtimes, does not require code modification or additional dependencies, and can perform one-click performance profiling and hotspot analysis through Docker containers or the host mode.
TypeScript
7.2K
4.5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
17.6K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
30.7K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
21.3K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
61.8K
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
57.6K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
27.2K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
19.6K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
84.6K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase