Simple Dart Model Context Protocol server with stdio websocket support. Learn easy MCP implementation.
SimpleMCP Server is a lightweight, yet powerful Model Context Protocol (MCP) server implementation built in Dart. This server facilitates seamless communication between AI applications and various data sources or tools through the MCP protocol, allowing developers to easily integrate diverse AI workflows. Utilizing simple yet robust standards, this server supports both stdio
and websocket
transports, offering flexibility based on the application's requirements.
By leveraging SimpleMCP Server, developers can ensure interoperability among different AI applications such as Claude Desktop, Continue, and Cursor, enhancing their capabilities by connecting to a wide range of data sources or tools. This makes it easier for users to benefit from the latest advancements in data-driven decision-making and automation without dealing with complex protocol implementations.
SimpleMCP Server excels in ensuring compatibility across various AI applications through its robust implementation of the Model Context Protocol. It supports two main transport mechanisms: stdio
for command-line interactions and websocket
for network-based communication, enabling flexible deployment scenarios.
The core functions of SimpleMCP Server include:
stdio
and websocket
, allowing developers to choose based on application requirements or deployment environments.These features enable SimpleMCP Server to serve as a bridge for diverse MCP clients, enhancing the overall versatility and usability of AI tools.
The architecture of SimpleMCP Server is designed around the principles of simplicity and adaptability. It consists of several key components:
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
The interaction diagram depicts how an AI application acts as the MCP client, establishing a connection with the MCP Server, which in turn communicates with various data sources or tools. Each step is meticulously designed to ensure smooth and efficient data flow.
MCP uses a message-based approach for communication, incorporating defined schemas for both request and response messages. Messages are encoded using JSON with specific fields for type identification, payload, context, and metadata. This ensures clear communication and easy integration across different platforms.
To get started with SimpleMCP Server, follow these steps:
Clone the Repository:
git clone https://github.com/your-username/simple_mcp_server.git
Install Dependencies: Ensure you have Dart installed on your system, then run the following command inside the project directory:
dart pub get
Run the Server:
Execute the server using the provided entry point script located in lib/main.dart
.
Imagine a financial services firm utilizing both Claude Desktop and Continue to analyze real-time market data. By integrating with SimpleMCP Server, these applications can exchange data seamlessly, allowing quick analysis of trends and making informed decisions.
In e-commerce platforms using Cursor as part of their recommendation engine, SimpleMCP Server can facilitate communication between the recommendation algorithms and user interaction logs. This integration allows for real-time personalization based on user behavior.
SimpleMCP Server provides compatibility across a range of MCP clients:
MCP Client | Resources | Tools | Prompts | Status |
---|---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ | Full Support |
Continue | ✅ | ✅ | ✅ | Full Support |
Cursor | ❌ | ✅ | ❌ | Tools Only |
Developers can easily integrate their AI applications with SimpleMCP Server by following the protocol guidelines provided in this documentation.
SimpleMCP Server is built to perform well under various conditions, ensuring high reliability and scalability. The performance metrics include:
The compatibility matrix highlights which MCP clients are fully supported versus those that require partial or no integration with other features not relevant to this server's specific configurations.
Managing SimpleMCP Server involves setting up environment variables and customizing the configuration file. A sample configuration is provided below:
{
"mcpServers": {
"[server-name]": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-[name]"],
"env": {
"API_KEY": "your-api-key"
}
}
}
}
Follow these best practices to maximize security while leveraging SimpleMCP Server’s functionalities.
What are the most common compatibility issues?
How do I troubleshoot latency problems?
Can SimpleMCP Server work with third-party tools not listed here?
Is there a limit to the number of concurrent connections?
How do I ensure data privacy during transmission?
To contribute to SimpleMCP Server, please adhere to the following guidelines:
Explore more MCP servers developed by different communities to enrich your understanding and improve your projects:
Join our community discussions on forums like StackOverflow, Reddit (r/MCPServers), and GitHub issues to get support and share knowledge.
Refer to the official Model Context Protocol documentation for further detailed information:
By following these guidelines and exploring resources within our ecosystem, developers can effectively utilize SimpleMCP Server to build robust and secure AI applications.
This documentation provides a comprehensive overview of the capabilities, integration options, and practical usage scenarios for SimpleMCP Server. Whether you are developing an AI application or integrating multiple tools through the MCP protocol, this server offers a reliable foundation to enhance your project's functionality.
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