Starknet MCP Server: Seamless Integration with AI Applications

Overview: What is Starknet MCP Server?

Starknet MCP Server is an essential component in the Model Context Protocol (MCP) ecosystem, serving as a bridge between AI applications and various data sources and tools within the Starknet infrastructure. This server enables developers to connect their AI applications like Claude Desktop, Continue, Cursor, and others with Starknet through a standardized protocol, ensuring seamless integration and efficient interaction.

🔧 Core Features & MCP Capabilities

Starknet MCP Server offers several key features that make it an indispensable tool for integrating AI applications into the Starknet network. These include:

• Block Interaction: The server can fetch the latest block from Starknet, providing real-time data to AI applications.
• Smart Contract Interactions: Future updates will expand the server’s capabilities by allowing tools to interact with smart contracts on Starknet, enhancing the application of AI models in various blockchain use cases.

⚙️ MCP Architecture & Protocol Implementation

The architecture of Starknet MCP Server is designed to be modular and flexible. It consists of a main entry point (index.ts) that handles protocol interactions and a type definition file (types.ts). The .env file manages environment configurations, ensuring the server can operate in different modes (development or production) and environments.

Mermaid Diagram: MCP Protocol Flow

graph TD
    A[AI Application] -->|MCP Client| B[MCP Server]
    B --> C[Starknet Blockchain]
    C --> D[Data Source/Tool]
    style A fill:#e1f5fe
    style C fill:#f3e5f5
    style D fill:#e8f5e8

This diagram illustrates the flow of data from an AI application (A) through an MCP client to a Starknet server, then interacts with smart contract nodes on the Starknet blockchain to retrieve or update relevant data.

🚀 Getting Started with Installation

To get started with integrating your AI application into Starknet, follow these steps:

1. Installing via Smithery:

   • UseSmithery to install the server for Claude Desktop automatically.

   npx -y @smithery/cli install @AbdelStark/starknet-mcp --client claude
   

2. Manual Installation:

   1. Clone the repository and navigate inside.

   git clone https://github.com/AbdelStark/starknet-mcp
   cd starknet-mcp
   

   2. Install dependencies to ensure a smooth operation of the server.

   npm install
   

   3. Create and configure an environment file (tsenv.example):

   # Log level (debug, info, warn, error)
   LOG_LEVEL=debug
   # Node environment (development, production)
   NODE_ENV=development
   # Server mode (stdio or sse)
   SERVER_MODE=sse
   # Port for SSE mode
   PORT=9000
   # Starknet RPC URL
   STAKNET_RPC_URL=https://...
   

💡 Key Use Cases in AI Workflows

Imagine integrating an AI application like Claude Desktop with a real-time market data tool on the Starknet blockchain. The server can fetch the latest block from Starknet to provide up-to-date information to the AI model, ensuring it remains informed about the most recent market trends.

Mermaid Diagram: Data Architecture Implementation for Market Analysis

graph TD
    A[AI Application] -->|Fetch Latest Block| B[MCP Server]
    B -- Real-time block data --> C[Market Analytics Tool on Starknet]
    C --> D[Prediction and Decision Making]

In this setup, the MCP server acts as a gateway to fetch real-time data from the Starknet blockchain. This data is then analyzed by a market analytics tool integrated with the AI application, enabling more accurate predictions and better decision-making capabilities.

Another use case could be integrating an AI-powered chatbot into a customer service platform on Starknet. The server allows the chatbot to query relevant customer data, improving response time and accuracy through direct access to blockchain records.

🔌 Integration with MCP Clients

The Starknet MCP Server is designed to support multiple MCP clients seamlessly. Below is the compatibility matrix showcasing its current support for popular AI applications:

MCP Client	Resources	Tools	Prompts
Claude Desktop	✅	✅	✅
Continue	✅	✅	✅
Cursor	❌	✅	❌

📊 Performance & Compatibility Matrix

The performance of Starknet MCP Server is optimized for various environments, catering to both development and production needs. It ensures reliable data exchange between AI applications and the Starknet blockchain.

Configuration details are managed in a .env file. Below is an example snippet:

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

🛠️ Advanced Configuration & Security

For developers aiming to customize and secure their integrations, Starknet MCP Server provides robust configuration options. Developers can adjust the log level, specify the node environment (development or production), choose between different server modes (stdio or SSE), and configure security parameters such as API keys.

Mermaid Diagram: Secure Configuration Flow

graph TD
    A[Define Log Level] --> B[Choose Node Environment]
    B --> C[Select Server Mode (stdio/sse)]
    C --> D[Configure API Key for Security]

These configurations help in maintaining the integrity and security of data exchanges while leveraging the server's capabilities to their fullest extent.

❓ Frequently Asked Questions (FAQ)

Q1: How do I configure the server to work with specific blocks?

You can set the blockNumber parameter in your command or use the block height retrieval function provided by the server to fetch the latest block from Starknet.

Q2: What does the STAKNET_RPC_URL environment variable represent, and how should it be configured?

The STAKNET_RPC_URL variable points to the Starknet RPC endpoint. Developers need to set this to a valid URL that provides access to the Starknet blockchain data.

Q3: Is there any support for cursor integration with my AI application through MCP?

Currently, only tools and resources are supported with the Cursor client; prompts remain unsupported due to limitations in current capabilities.

Q4: How can I ensure the security of data exchanged between the server and my AI application?

Security is managed through parameters like API_KEY specified in the configuration file. Developers should use strong encryption and secure storage practices for these keys.

Q5: Can I modify the protocol flow to include more complex interactions with smart contracts on Starknet?

Yes, future updates will enable interactions with smart contracts, which requires customization in your client code and possibly updates to the server itself based on specific requirements.

👨‍💻 Development & Contribution Guidelines

Contributions are welcome from all developers looking to enhance or improve the functionality of this project. The following steps guide you through the process:

1. Fork the repository and create a new branch for your feature.
2. Commit your changes with clear, descriptive messages.
3. Push to the branch on GitHub.
4. Submit a Pull Request detailing what modifications or additions have been made.

🌐 MCP Ecosystem & Resources

For those keen on exploring more about MCP and its integration capabilities, here are some resources:

• Starknet Docs
• Starknetjs Docs
• Model Context Protocol
• Visual testing tool for MCP servers
• Awesome MCP Servers
• Awesome MCP Clients
• MCP TypeScript SDK

📬 Contact

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npub1hr6v96g0phtxwys4x0tm3khawuuykz6s28uzwtj5j0zc7lunu99snw2e29

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Creating a Starknet MCP Server empowers developers to build robust AI applications with seamless integration into the Starknet blockchain. By leveraging the power of Model Context Protocol, these applications can access real-time data and smart contract capabilities, revolutionizing how they function in today’s dynamic technological landscape.