SparkMango

SparkMango is a Model Context Protocol (MCP) server that transforms Solidity smart contracts into fully‑functional Python web services. By parsing a contract’s ABI and bytecode, it automatically generates RESTful endpoints that mirror the contract’s public functions, state variables, and event hooks. This approach removes the need for manual binding layers or custom SDKs, enabling developers to expose blockchain logic as standard HTTP APIs that can be consumed by any AI assistant or microservice.

The server’s core value lies in its seamless bridge between on‑chain logic and off‑chain tooling. Developers can upload a compiled contract JSON file, run the generator, and receive a ready‑to‑deploy Python application. The generated code handles transaction signing, gas estimation, and state synchronization internally, so the AI assistant can invoke contract methods as if they were native API calls. This abstraction is particularly useful when building conversational agents that need to query or modify blockchain state without exposing private keys or complex Web3 logic to the user.

Key capabilities include:

• Automatic contract parsing: Detects function signatures, inputs, outputs, and events from the ABI.
• State management: Exposes contract variables as REST endpoints that return current on‑chain values.
• Event handling: Provides webhook hooks or polling mechanisms to surface contract events in real time.
• Testing framework: Generates unit tests that simulate contract interactions, ensuring API reliability before deployment.
• Extensible middleware: Allows custom authentication or logging layers to be added without modifying the generated code.

Typical use cases span a wide range of AI workflows. A conversational agent can query token balances or execute token transfers through simple HTTP requests, while a data‑analysis bot can listen to price feed events and trigger alerts. In enterprise settings, SparkMango enables internal services to interact with private blockchains through familiar REST patterns, reducing integration friction and accelerating time‑to‑market.

What sets SparkMango apart is its zero‑code generation pipeline that keeps the generated server lightweight and idiomatic. Developers can focus on business logic and AI integration rather than plumbing Web3 connections, making it an ideal component for any project that seeks to combine blockchain smart contracts with AI assistants under the MCP umbrella.