MCPSERV.CLUB
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Story MCP Hub

MCP Server

Central hub for Story Protocol MCP services

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Updated Aug 31, 2025

About

A unified environment that hosts and manages multiple Model Context Protocol servers, enabling AI agents to interact with blockchain data, IPFS storage, and Story Protocol SDK tools.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Story MCP Hub Overview

The Story MCP Hub consolidates multiple Model Context Protocol (MCP) services into a single, easily‑maintainable platform. It bridges AI assistants—such as Claude or IDE‑integrated agents—with the Story Protocol ecosystem, enabling seamless interaction with blockchain data, IPFS storage, licensing workflows, and token economics. By exposing a unified MCP interface, developers can compose complex AI‑driven pipelines without worrying about underlying network details or authentication.

Problem Solved

Developers building AI agents that need to read blockchain state, upload media, or manage intellectual‑property (IP) rights typically juggle several independent APIs: a blockchain explorer, an IPFS pinning service, and the Story Protocol smart‑contract RPC endpoints. Managing credentials, handling rate limits, and reconciling data formats become bottlenecks. The Story MCP Hub abstracts these concerns into a single MCP server, allowing agents to call high‑level tools that internally orchestrate the required API calls. This reduces boilerplate, minimizes network latency through local orchestration, and ensures consistent data schemas across services.

What the Server Provides

  • StoryScan MCP Server
    Offers a suite of blockchain‑query tools (, , , etc.) that talk to StoryScan/Blockscout APIs. These tools let agents retrieve real‑time on‑chain information without exposing raw API endpoints.

  • Story SDK MCP Server
    Supplies a rich collection of Story Protocol SDK tools:

    • IPFS & Metadata – upload images, create IP metadata objects.
    • License Management – fetch license terms, mint license tokens, predict fees.
    • IP & NFT Management – register IP, attach terms, mint NFTs, create SPG collections.
    • Token & Revenue – deposit work‑in‑progress, transfer royalties, claim revenue, raise disputes.
  • Shared Utilities
    Common helpers for authentication, retry logic, and data transformation keep each server lightweight while maintaining consistent behavior.

Key Features & Advantages

  • Unified MCP Interface – Agents only need to register once with the hub, then can invoke any tool across both servers.
  • Modular Architecture – Each MCP server is isolated, making it easy to update or replace individual services without affecting the whole hub.
  • Resource‑oriented Design – Tools are exposed as resources, enabling fine‑grained access control and auditability.
  • Built‑in Error Handling – Automatic retries, timeout handling, and structured error responses reduce agent complexity.
  • Extensibility – The hub’s plugin‑style layout allows new MCP servers (e.g., a future analytics server) to be added with minimal friction.

Real‑World Use Cases

  • AI‑powered IP Management – A content creator’s agent can automatically register a new artwork, attach licensing terms, and mint an NFT on the Story Protocol blockchain while uploading associated media to IPFS.
  • Blockchain Analytics – A data‑science assistant can query transaction histories, token holdings, and NFT ownership in a single request, feeding the results into an ML model.
  • Revenue Automation – A royalty‑tracking bot can claim all accrued revenue, transfer it to a specified wallet, and raise disputes if payments are delayed—all via MCP calls.
  • Developer Tooling – IDE extensions can invoke the hub to fetch contract ABIs, generate IP metadata templates, or preview license fee estimates during code reviews.

Integration Flow

  1. Agent Registration – The AI assistant registers with the MCP Hub, receiving a token and endpoint list.
  2. Tool Invocation – The agent sends an MCP request specifying the target tool (e.g., ).
  3. Internal Orchestration – The hub routes the request to the appropriate MCP server, which performs API calls to StoryScan, IPFS, or the blockchain.
  4. Response Delivery – The server returns a structured JSON payload to the agent, ready for further processing or user presentation.

By centralizing access to Story Protocol’s core services and exposing them through a clean MCP contract, the Story MCP Hub empowers developers to build sophisticated AI agents that can read, write, and monetize digital assets with minimal friction.