story-mcp-hub

This repository serves as a central hub for Story Protocol's Model Context Protocol (MCP) servers. It provides a unified environment for running and managing various MCP services that enable AI agents to interact with Story Protocol's ecosystem.

story-mcp-hub/
├── storyscan-mcp/       # MCP server for blockchain data queries via StoryScan
├── story-sdk-mcp/       # MCP server for Story Protocol SDK interactions
├── utils/               # Shared utilities for MCP servers
├── .venv/               # Python virtual environment
├── pyproject.toml       # Project dependencies and configuration
├── .python-version      # Python version specification
└── README.md            # This file

graph TD
    subgraph "MCP Hub"
        style MCP Hub fill:#F5F5FF,stroke:#9999CC,stroke-width:2px,rx:10,ry:10
        Agent["AI Agent<br>(Claude, IDEs, Tools)"]
        style Agent fill:#E6E6FA,stroke:#9370DB,stroke-width:2px,rx:8,ry:8
    end

    subgraph "StoryScan MCP Server"
        style StoryScan MCP Server fill:#F0F8FF,stroke:#87CEFA,stroke-width:2px,rx:10,ry:10
        StoryscanService["StoryScan Service"]
        style StoryscanService fill:#E6E6FA,stroke:#9370DB,stroke-width:2px,rx:8,ry:8

        subgraph "StoryScan Tools"
            style StoryScan Tools fill:#F0FFFF,stroke:#5F9EA0,stroke-width:2px,rx:10,ry:10
            StoryscanToolset["Balance & Stats<br>check_balance,<br>get_address_overview,<br>get_transactions,<br>interpret_transaction,<br>get_token_holdings,<br>get_nft_holdings,<br>get_stats"]
            style StoryscanToolset fill:#E0FFFF,stroke:#5F9EA0,stroke-width:2px,rx:8,ry:8
        end
    end

    subgraph "Story SDK MCP Server"
        style Story SDK MCP Server fill:#F5FFFA,stroke:#98FB98,stroke-width:2px,rx:10,ry:10
        StoryService["Story Service"]
        style StoryService fill:#E6E6FA,stroke:#9370DB,stroke-width:2px,rx:8,ry:8

        subgraph "Story SDK Tools"
            style Story SDK Tools fill:#F0FFF0,stroke:#90EE90,stroke-width:2px,rx:10,ry:10
            IPFSTools["IPFS Tools<br>upload_image_to_ipfs<br>create_ip_metadata"]
            style IPFSTools fill:#E0FFFF,stroke:#5F9EA0,stroke-width:2px,rx:8,ry:8
            IPTools["IP Management Tools<br>mint_and_register_ip_with_terms<br>get_license_terms,<br>mint_license_tokens,<br>send_ip,<br>create_spg_nft_collection"]
            style IPTools fill:#E0FFFF,stroke:#5F9EA0,stroke-width:2px,rx:8,ry:8
        end
    end

    subgraph "External Resources"
        style External Resources fill:#FFF0F5,stroke:#FFB6C1,stroke-width:2px,rx:10,ry:10
        IPFS[(IPFS/Pinata<br>Storage)]
        style IPFS fill:#FFE4E1,stroke:#DB7093,stroke-width:2px,rx:15,ry:15
        Blockchain[(Story Protocol<br>Blockchain)]
        style Blockchain fill:#E0F8E0,stroke:#90EE90,stroke-width:2px,rx:15,ry:15
        StoryScan[(StoryScan/Blockscout<br>API)]
        style StoryScan fill:#E6F3FF,stroke:#87CEFA,stroke-width:2px,rx:15,ry:15
    end

    Agent <--MCP Protocol--> StoryService
    Agent <--MCP Protocol--> StoryscanService
    StoryscanService --> StoryscanToolset
    StoryService --> IPFSTools
    StoryService --> IPTools

    StoryscanToolset <--API Calls--> StoryScan
    IPFSTools <--API Calls--> IPFS
    IPTools <--RPC Calls--> Blockchain

Provides tools for querying blockchain data, including address balances, transactions, and blockchain statistics.

Tools:

• check_balance: Check the balance of an address
• get_transactions: Get recent transactions for an address
• get_stats: Get current blockchain statistics
• get_address_overview: Get a comprehensive overview of an address
• get_token_holdings: Get all ERC-20 token holdings for an address
• get_nft_holdings: Get all NFT holdings for an address
• interpret_transaction: Get a human-readable interpretation of a transaction

Provides tools for interacting with Story Protocol's Python SDK.

Tools:

• get_license_terms: Retrieve license terms for a specific ID
• mint_license_tokens: Mint license tokens for a specific IP and license terms
• send_ip: Send IP tokens to a specified address using native token transfer
• upload_image_to_ipfs: Upload an image to IPFS and return the URI
• create_ip_metadata: Create NFT metadata for a specific image URI
• mint_and_register_ip_with_terms: Mint and register an IP with terms

• Python 3.12+
• UV package manager

1. Install UV package manager and install env:

curl -LsSf https://astral.sh/uv/install.sh | sh

2. Clone this repository:

git clone https://github.com/piplabs/story-mcp-hub.git
cd story-mcp-hub

3. Install dependencies using UV:

uv sync

4. Set up environment variables for each server:

For StoryScan MCP:

cd storyscan-mcp
cp .env.example .env
# Edit .env with your StoryScan API endpoint

For Story SDK MCP:

cd story-sdk-mcp
cp .env.example .env
# Edit .env with your wallet private key, RPC provider URL, etc.

cd storyscan-mcp
uv run mcp dev server.py

cd story-sdk-mcp
uv run mcp dev server.py

Follow the instructions below to connect the MCP servers to various MCP-compatible clients.

Cursor implements an MCP client that supports an arbitrary number of MCP servers with both stdio and sse transports.

1. Go to Cursor Settings > Features > MCP
2. Click on the + Add New MCP Server button
3. Fill out the form:
   • Select the transport under Type
   • Enter a nickname for the server in the Name field
   • Enter either the command to run or the URL of the server, depending on the transport
   • We'll use the uv command to run the server, so make sure to include the --directory flag with the path to the server (Example: uv --directory ~/path/to/story-mcp-hub/storyscan-mcp run server.py)

You can configure project-specific MCP servers using .cursor/mcp.json. The file follows this format:

{
  "mcpServers": {
    "storyscan-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "~/path/to/story-mcp-hub/storyscan-mcp",
        "run",
        "server.py"
      ]
    },
    "story-sdk-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "~/path/to/story-mcp-hub/story-sdk-mcp",
        "run",
        "server.py"
      ]
    }
  }
}

The Composer Agent will automatically use any MCP tools that are listed under Available Tools on the MCP settings page if it determines them to be relevant. To prompt tool usage intentionally, simply tell the agent to use the tool, referring to it either by name or by description.

When the Agent wants to use an MCP tool, it will display a message asking for your approval.

Claude Desktop can be configured to use MCP servers by editing its configuration file.

1. Open the Claude Desktop configuration file:

code ~/Library/Application\ Support/Claude/claude_desktop_config.json

2. Add the MCP server configuration:

{
  "mcpServers": {
    "storyscan-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "~/path/to/story-mcp-hub/storyscan-mcp",
        "run",
        "server.py"
      ],
      // Add environment variables for the server
      "env": {
        "STORY_API_KEY": "your_story_api_key_here",
        "STORYSCAN_API_ENDPOINT": "your_story_api_endpoint_here"
      }
    },
    "story-sdk-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "~/path/to/story-mcp-hub/story-sdk-mcp",
        "run",
        "server.py"
      ],
      // Add environment variables for the server
      "env": {
        "WALLET_PRIVATE_KEY": "your_private_key_here",
        "RPC_PROVIDER_URL": "your_rpc_provider_url_here",
        "PINATA_JWT": "your_pinata_jwt_here"
      }
    }
  }
}

3. Save the file and restart Claude Desktop for the changes to take effect.

Example query: use storyscan to check balance of 0x95A13F457C76d10A40D7e8497eD4F40c53F4d04b

To add a new MCP server to the hub:

1. Create a new directory for your server
2. Implement the MCP protocol in your server
3. Add any necessary dependencies to the root pyproject.toml
4. Update this README with information about your server

If you encounter issues:

1. Verify that environment variables are set correctly for each server
2. Check network connectivity to external APIs (StoryScan, IPFS, etc.)
3. Ensure you're using the correct Python version (3.12+)
4. Check that all dependencies are installed with uv sync

MIT License