MCP Servers for Cursor AI - README
I scraped a lot of information on MCP (Model Context Protocol) servers . with Integration to Cursor AI and Claude Desktop . That way you can add this folder to your preferred IDE so that it will have contextual indexing information available to grasp how to create MCP servers correctly .
What is Mcp-Research?
Mcp-Research is a comprehensive guide and resource for implementing Model Context Protocol (MCP) servers specifically designed for integration with Cursor AI. It provides detailed information on how to create and configure MCP servers to enhance the capabilities of Cursor AI through custom tools and services.
How to use Mcp-Research?
To use Mcp-Research, start by reviewing the comprehensive_report.md for an overview. Follow the implementation_steps.md for a step-by-step guide, and utilize the code examples provided in the code_examples/ directory to build your own MCP server.
Key features of Mcp-Research?
- Detailed documentation on MCP server implementation
- Step-by-step guides for setting up MCP servers
- Code examples in JavaScript and TypeScript for practical implementation
- Integration points for Cursor AI and external APIs
Use cases of Mcp-Research?
- Developing custom tools for Cursor AI using MCP servers.
- Enhancing Cursor AI's functionality with specific integrations.
- Learning about the Model Context Protocol and its applications.
FAQ from Mcp-Research?
- What is the Model Context Protocol (MCP)?
MCP is a protocol designed to facilitate context-aware interactions between AI systems and external tools.
- Do I need prior experience to implement MCP servers?
Basic knowledge of JavaScript or TypeScript is recommended, but the documentation provides step-by-step guidance for beginners.
- Is there support for troubleshooting?
While the documentation is comprehensive, users can refer to the additional resources linked for further assistance.
MCP Servers for Cursor AI - README
This research package contains comprehensive information on implementing Model Context Protocol (MCP) servers specifically for Cursor AI integration. The research focuses on how to create MCP servers that can be integrated with Cursor AI to enhance its capabilities through custom tools and services.
Directory Structure
- mcp_basics.md: Core concepts of the Model Context Protocol
- claude_mcp_implementation.md: Details on Claude's MCP implementation
- cursor_ai_specifics.md: Cursor AI's specific requirements and integration points
- mcp_server_requirements.md: Technical requirements for MCP servers
- implementation_steps.md: Step-by-step guide for implementing MCP servers
- comprehensive_report.md: Complete research findings in a single document
- code_examples/: Directory containing sample MCP server implementations
- basic_mcp_server.js: Simple JavaScript MCP server with text tools
- advanced_mcp_server.ts: Advanced TypeScript MCP server with file system operations
- weather_api_integration.ts: Example of integrating with external APIs
Getting Started
For a quick overview, start with the comprehensive_report.md file, which contains all the research findings in a single document. For specific topics, refer to the individual files listed above.
To implement your own MCP server for Cursor AI, follow these steps:
- Read the implementation_steps.md file for a step-by-step guide
- Review the code examples in the code_examples/ directory
- Set up your development environment as described in the guide
- Implement your custom tools based on the examples
- Configure Cursor AI to use your MCP server
Code Examples
The code examples demonstrate different aspects of MCP server implementation:
- Basic MCP Server (JavaScript): A simple server with text manipulation and calculation tools
- Advanced MCP Server (TypeScript): A more sophisticated server with file system operations and security boundaries
- Weather API Integration (TypeScript): An example of integrating with external APIs (OpenWeatherMap)
These examples can be used as starting points for your own MCP server implementations.
Requirements
To run the code examples, you'll need:
- Node.js 14.x or higher
- npm or yarn package manager
- TypeScript (for TypeScript examples)
- Cursor AI with MCP support
Additional Resources
- Anthropic MCP Documentation
- Cursor Directory
- Smithery.ai - Registry of MCP servers
Conclusion
This research package provides a comprehensive guide to implementing MCP servers for Cursor AI. By following the guidelines and examples, developers can create custom tools that enhance Cursor AI's capabilities for specific use cases.
