Simple MCP Server Example MCP Server: Standardized Integration for AI Applications

Overview: What is Simple MCP Server?

Simple MCP Server is a basic implementation of a Model Context Protocol (MCP) service built on FastAPI, designed to provide foundational support for AI applications through a standardized interface. This server is an essential tool for developers building AI workflows and integrating various tools and data sources into their applications.

🔧 Core Features & MCP Capabilities

Simple MCP Server offers a robust set of capabilities that make it ideal for integrating AI applications with diverse data sources and tools. Key features include:

• Health Check Endpoint: Ensures the server is running smoothly.
• Context Endpoints: Facilitates prompt processing using template-based context.
• Parameterized Prompts Support: Allows dynamic input into prompts, enhancing flexibility.

These features enable developers to leverage Simple MCP Server as a versatile foundation for more complex AI solutions.

⚙️ MCP Architecture & Protocol Implementation

The architecture of Simple MCP Server is built around the Model Context Protocol (MCP), which standardizes communication between AI applications and backend services. The server adheres to the protocol specifications, ensuring seamless integration with various MCP clients such as Claude Desktop, Continue, Cursor, etc.

Mermaid Diagram: MCP Protocol Flow

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

Mermaid Diagram: Data Architecture

graph TD
    A[AI Application] -->|MCP Client| B[MCP Protocol]
    B -.-> C[MCP Server]
    C -.-> D[Prompt Manager & Processor]
    D -.-> E[Data Source/Tools]
    style A fill:#e1f5fe
    style B fill:#90ee90
    style C fill:#f3e5f5
    style D fill:#b0c4de
    style E fill:#e8f5e8

🚀 Getting Started with Installation

Install Dependencies

pip install -r requirements.txt

Run the Server

uvicorn src.main:app --reload

These simple steps allow developers to quickly set up and run the server, enabling seamless integration with their AI applications.

💡 Key Use Cases in AI Workflows

Use Case 1: Real-Time Data Integration for Financial Analysis

Developers can use Simple MCP Server to integrate real-time financial data from various sources. For instance, a financial analyst application can prompt users to input specific time periods and receive relevant data based on those prompts. The server processes the request, retrieves the necessary data, and returns it in a structured format.

Use Case 2: Customizable User Experiences for Customer Support

A customer support chatbot can use Simple MCP Server to customize responses based on user inputs and historical interactions. By integrating with different data sources (e.g., CRM systems), the server ensures that each response is tailored not only to current parameters but also to context gathered over past interactions.

🔌 Integration with MCP Clients

Simple MCP Server supports multiple MCP clients, including:

• Claude Desktop: Full support for all features.
• Continue: Broad compatibility with most functionalities.
• Cursor: Limited tool integrations available due to current limitations.

This broad client support ensures that a wide range of AI tools and applications can benefit from the server’s standardized architecture.

📊 Performance & Compatibility Matrix

The following table outlines the performance and compatibility status across different MCP clients:

MCP Client	Resources	Tools	Prompts	Status
Claude Desktop	✅	✅	✅	Full Support
Continue	✅	✅	✅	Full Support
Cursor	❌	✅	❌	Tools Only

This matrix helps developers understand which clients integrate fully and where limitations exist, guiding them in their integration decisions.

🛠️ Advanced Configuration & Security

MCP Configuration Sample

{
  "mcpServers": {
    "[server-name]": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-[name]"],
      "env": {
        "API_KEY": "your-api-key"
      }
    }
  }
}

Advanced configurations can include setting up custom API keys, defining additional parameters, and modifying endpoint behaviors for enhanced security and performance.

❓ Frequently Asked Questions (FAQ)

Q1: How do I ensure secure data exchange with Simple MCP Server?

A1: Simple MCP Server supports API key management and configurable authentication mechanisms to enhance security. Developers should regularly update their API keys and manage access controls carefully.

Q2: Can I customize the context endpoints for my specific needs?

A2: Yes, you can extend or modify the context endpoints by adding custom logic within your AI application code. This allows for highly tailored user experiences without altering the server core functionality.

Q3: How does Simple MCP Server handle compatibility with new clients?

A3: The server is designed to be flexible and adapt to updates in the Model Context Protocol. Regular reviews of protocol specifications ensure that necessary changes are implemented, maintaining broad compatibility across all supported clients.

Q4: What steps should I take if an MCP client has unique requirements?

A4: Contact support for guidance on integrating specific features or tools not covered by the default configurations. The development team can provide tailored advice to meet your particular needs.

Q5: How often does Simple MCP Server get updated with new features?

A5: Updates are periodically released to address protocol updates and feedback from developers. Regular check-ins via release notes help keep users informed about changes and upcoming improvements.

👨‍💻 Development & Contribution Guidelines

Contributions are welcome for anyone interested in improving or expanding Simple MCP Server. Get started by:

1. Forking the repository.
2. Creating a pull request with your changes.
3. Ensuring all tests pass through pytest.
4. Adding necessary documentation updates.

Community support and assistance can be found on the project’s issue tracker and discussion forums.

🌐 MCP Ecosystem & Resources

For more information about MCP, visit the official Model Context Protocol website or join the community forums to connect with other developers and stay updated on protocol developments.

By providing a solid foundation for AI application integration, Simple MCP Server empowers developers to build flexible, scalable solutions that leverage diverse data sources and tools.