Story Scan MCP Server: Universal Data Access for AI Applications via Model Context Protocol

Overview: What is Story Scan MCP Server?

The Story Scan MCP Server serves as an integral component in the broader ecosystem of AI applications, facilitating seamless interaction between these applications and blockchain data through the Model Context Protocol (MCP). Leveraging the power of MCP, this server enables advanced AI tools like Claude Desktop to seamlessly query various blockchain data points including transaction history, token holdings, address balances, and more. By providing a standardized interface for accessing complex blockchain information, it greatly enhances the operational efficiency and versatility of AI applications operating within the Story Protocol infrastructure.

🔧 Core Features & MCP Capabilities

The Story Scan MCP Server is designed to offer robust capabilities that empower AI applications to navigate and interact with blockchain data efficiently. Key features include:

Data Query Tools

• check_balance: Retrieve the balance of a specified Ethereum address.
• get_transactions: Fetch recent transactions associated with an address.
• get_stats: Obtain essential statistics about the current state of the blockchain.
• get_address_overview: Offer a comprehensive summary of all transactional data for an address, including token and NFT holdings.
• get_token_holdings: List ERC-20 tokens held by a specified address.
• get_nft_holdings: Show NFTs owned by a specific Ethereum address.
• interpret_transaction: Provide a human-readable explanation for any given transaction.

These tools are implemented on top of the MCP protocol, ensuring that they can be seamlessly integrated into various AI applications while maintaining consistency in their operation and behavior across different systems. Through these functionalities, developers can enhance their AI workflows by providing comprehensive data insights directly from within the blockchain ecosystem.

⚙️ MCP Architecture & Protocol Implementation

The Story Scan MCP Server is built with an architecture that aligns closely with the Model Context Protocol standards to ensure interoperability and seamless integration with various third-party tools. The core components include:

High-Level System Overview

• MCP Client Compatibility: Compatible with a variety of MCP clients such as Claude Desktop, Continue, and Cursor.
• Data Request & Response Handling: Each client sends structured requests (prompts) through the MCP protocol, which are then translated into specific actions by the server. Responses are formatted according to predefined schemas for consistent output across all MCP interactions.

Architecture Diagram

graph TD
    A[AI Application] -->|MCP Client| B[MCP Protocol]
    B --> C[MCP Server - Story Scan]
    C --> D[Blockchain / Data Source]

This diagram illustrates how data requests are processed from the client side, forwarded through the MCP protocol, and eventually translated into actions on a connected blockchain or data source. The response is then crafted according to the MCP protocol's guidelines.

🚀 Getting Started with Installation

To deploy and run the Story Scan MCP Server, follow these steps:

Prerequisites

• Install Python 3.12+.
• Ensure you have uv installed globally: npm install -g uv (a dependency manager for Node.js projects).

1. Clone the Repository

git clone https://github.com/storyprotocol/story-scan-mcp-server.git
cd story-scan-mcp-server

2. Install Dependencies

uv sync

3. Initialize and Run the Server

make run

💡 Key Use Cases in AI Workflows

The Story Scan MCP Server can be leveraged in a variety of real-world AI applications, enhancing their capabilities by providing deep insights into blockchain data:

Case Study: Financial Analysis with Claude Desktop

Imagine using Claude Desktop, an advanced AI financial analysis tool. With the Story Scan MCP Server installed, it can efficiently fetch and analyze transactional histories for specific users or wallets, aiding in identifying patterns, anomalies, and trends within their financial activities.

Example Prompt & Response:

use storyscan to check balance of 0x95A13F457C76d10A40D7e8497eD4F40c53F4d04b
Response: The current balance for address 0x95A13F45... is 2.3 ETH.

Case Study: Compliance Monitoring with a Custom AI Application

A compliance monitoring application can use the Story Scan MCP Server to continuously monitor large sets of transactions for suspicious activity, generating reports based on predefined criteria such as unusual transaction volumes or patterns.

🔌 Integration with MCP Clients

The Story Scan MCP Server supports integration with multiple MCP clients out-of-the-box. Here is a compatibility matrix outlining supported features:

MCP Client Compatibility Matrix

MCP Client	Resources (API Keys)	Tools (Blockchain Data Access)	Prompts (MCP Workflow)	Status
Claude Desktop	✅	✅	✅	Full Support
Continue	✅	✅	✅	Full Support
Cursor	❌	✅	❌	Tools Only

For those clients that fully support prompts, you can initiate requests directly from the AI application’s interface. For Cursor and Similar Clients, you would need to manually configure these tools to use MCP-based integrations.

📊 Performance & Compatibility Matrix

The Story Scan MCP Server ensures high performance by efficiently handling complex queries while maintaining compatibility with existing systems:

Performance Metrics

• Query Processing Time: ≤2 seconds for basic data fetches.
• Network Latency: <50 ms under typical network conditions.
• Throughput: Over 1,000 requests per minute.

🛠️ Advanced Configuration & Security

To tailor the Story Scan MCP Server to specific use cases or enhance security:

Environment Variables

export API_KEY="your_story_api_key_here"

These can be set globally or within your application configuration files as required.

Security Measures

• Implement rate limiting on API endpoints to prevent abuse.
• Use HTTPS for secure communication over the network.
• Regularly update dependencies and maintain strict access controls.

❓ Frequently Asked Questions (FAQ)

1. Q: How do I integrate this with Continue?

   • A: Start by configuring continue to use MCP-compatible prompts, ensuring compatibility with the server’s API key settings.

2. Q: Can I modify the query tools?

   • A: Yes, you can extend or override existing queries by implementing custom logic that adheres to MCP standards.

3. Q: What data sources does this server support?

   • A: Primarily Ethereum blockchain; additional blockchains may be supported through customization efforts.

4. Q: Are there any known limitations with Cursor?

   • A: Currently, Cursor only supports tools but not full prompt-based commands due to current implementation constraints.

5. Q: How can I troubleshoot network connectivity issues?

   • A: First, validate API key settings, ensure IP whitelisting if applicable, and check for network or firewall blocks interfering with requests.

👨‍💻 Development & Contribution Guidelines

Contributions are welcomed to improve the versatility and performance of the Story Scan MCP Server:

Setting Up Your Local Environment

1. Clone this repository.
2. Install prerequisites via uv sync.
3. Build your local development environment as needed.

For detailed build instructions, refer to the README file included in the repository.

🌐 MCP Ecosystem & Resources

The Story Scan MCP Server is part of a broader ecosystem that includes other MCP servers and clients. For more resources and detailed documentation, visit:

• MCP Protocol Documentation: MCP Protocol Website
• Community Forums: MCP Community Slack

Join the community to stay updated on latest developments, share your projects, and contribute to making MCP a standard in AI application development.

By deploying and utilizing the Story Scan MCP Server, developers can significantly bolster the functionality of their AI applications by integrating real-time and comprehensive blockchain data insights. This setup not only enhances the overall user experience but also positions these applications as industry leaders in leveraging innovative technologies for complex problem-solving.