Mantle AI Plugin
SDK Developer
Enabled AI agents to bridge, inspect tokens and interact with on-chain data across the Mantle ecosystem.
01 · Requirement Analysis
AI agents built on GOAT needed a clean tool surface to act on the Mantle chain — bridge, inspect tokens and read on-chain state — without each agent reimplementing RPC calls.
02 · Architecture Discovery
Studied the GOAT SDK plugin model (tool definitions bound to chain actions) and the Mantle RPC surface, then mapped agent actions to discrete, schema-validated tools.
03 · Software Architecture
A GOAT plugin exposing typed tools — bridge, token lookup, balance read — each delegating to a thin Mantle client, with input schemas so the model invokes them safely.
04 · Development Principles
Single-responsibility per tool, pure functional handlers, schema validation on every input, and a clean separation between tool descriptions and chain interaction.
05 · Impact
AI agents on Mantle can act and inspect autonomously, packaging cross-chain capability as a reusable plugin rather than bespoke per-agent code.