Discover a TypeScript MCP server for notes management with creation, access, and summarization features
The Drupal-Modules-MCP server is a TypeScript-based implementation of an MCP (Model Context Protocol) server that provides core functionality for text notes management, including resource handling, tool operations, and prompt generation. This server serves as a robust foundation for integrating AI applications with structured data, enabling seamless interaction between these tools.
MCP (Model Context Protocol) acts as a universal adapter facilitating the connection between AI applications such as Claude Desktop, Continue, Cursor, and other compatible clients with specific data sources or tools. By leveraging MCP, developers can easily extend the functionality of existing AI services into more specialized use cases without extensive custom coding.
The Drupal-Modules-MCP server is designed to offer a wide array of capabilities that are essential for integrating and managing note-based structured data in AI workflows. Key features include:
note://
) enable easy access and management of notes.create_note
): Allows for the creation of new textual notes.
summarize_notes
): Generates a summary of all stored notes by embedding their contents as structured resources.
The architecture of the Drupal-Modules-MCP server is designed to be modular and extensible, allowing for easy integration with various data sources and tools. The implementation of core MCP concepts ensures compatibility with multiple clients while maintaining high performance standards.
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[MCP Server]
C --> D[Data Source/Tool]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
graph LR
A[Client] -->|Message| B[MCP Server]
B -->|Data| C[DB/Memory Storage]
C -->|Response| A
style A fill:#e1f5fe
style B fill:#f3e5f5
style C fill:#d9edf7
To set up and run the Drupal-Modules-MCP server, follow these steps:
Ensure you have Node.js installed on your system.
npm install
npm run build
npm run watch
AI applications can interact with the Drupal-Modules-MCP server to manage personal notes, providing a structured and searchable context for daily activities.
By integrating notes related to project tasks or discussions, this server aids in maintaining comprehensive project documentation within AI workflow tools, ensuring all relevant information is accessible when needed.
The Drupal-Modules-MCP server supports integration with multiple MCP clients including:
MCP Client | Resources Support | Tools Support | Prompts Support | Status |
---|---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ | Full Support |
Continue | ✅ | ✅ | ✅ | Full Support |
Cursor | ❌ | ✅ | ❌ | Tools Only |
For example, adding the server to a config file for Claude Desktop
involves specifying the command and parameters:
{
"mcpServers": {
"drupal-modules-mcp": {
"command": "/path/to/drupal-modules-mcp/build/index.js"
}
}
}
While the server is designed to be highly compatible with most MCP clients, performance optimizations and feature availability may vary slightly. The following table outlines some key performance parameters:
Client | Notes (Resources) | Tools | Prompts |
---|---|---|---|
Claude Desktop | Fast Retrieval | ✅ | ✅ |
Continue | Slow Initial Load | ✅ | ✅ |
{
"mcpServers": {
"[server-name]": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-[name]"],
"env": {
"API_KEY": "your-api-key"
}
}
}
}
Ensure to secure API keys and sensitive data through environment variables or similar measures.
How do I integrate my custom notes with an AI assistant?
create_note
tool provided by the Drupal-Modules-MCP server, which allows for structured integration of notes into your workflow.What happens if multiple clients are trying to access the same resource simultaneously?
Can I use this server with a variety of AI applications without modifying their code?
Is there any limitation in terms of storage capacity or number of notes that can be managed by this server?
How do I troubleshoot issues related to missing resources when using the AI client applications?
Contributions are welcome! If you wish to contribute improvements, bug fixes, or new features, please follow these guidelines:
For more information about Model Context Protocol (MCP) and its ecosystem, visit the official MCP website or explore related tools and resources.
By integrating such an MCP server like Drupal-Modules-MCP into AI workflows, developers can significantly enhance interoperability and functionality, making it easier to build robust, data-driven applications that leverage both structured content and advanced language models.
RuinedFooocus is a local AI image generator and chatbot image server for seamless creative control
Learn to set up MCP Airflow Database server for efficient database interactions and querying airflow data
Simplify MySQL queries with Java-based MysqlMcpServer for easy standard input-output communication
Build stunning one-page websites track engagement create QR codes monetize content easily with Acalytica
Access NASA APIs for space data, images, asteroids, weather, and exoplanets via MCP integration
Explore CoRT MCP server for advanced self-arguing AI with multi-LLM inference and enhanced evaluation methods