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Tinyman MCP Server

MCP Server

Algorand AMM Operations via Model Context Protocol

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Updated Sep 15, 2025

About

Provides a Model Context Protocol implementation for Tinyman on Algorand, offering tools for pool management, swaps, liquidity provisioning, and asset operations with support for v1.1 and v2 protocols.

Capabilities

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

Tinyman MCP Overview

The Tinyman MCP server bridges the gap between AI assistants and the Algorand-based Tinyman Automated Market Maker (AMM). By exposing a rich set of tools and resources through the Model Context Protocol, it allows AI-driven applications to perform complex DeFi operations—such as swapping assets, adding or removing liquidity, and managing pools—without requiring developers to build low‑level blockchain interactions from scratch. This capability is especially valuable for AI assistants that need to answer user queries or execute transactions on behalf of users in a secure, auditable manner.

At its core, the server offers three principal categories of functionality:

  • Pool Management – Retrieve comprehensive pool data and analytics, and generate creation quotes for new pools. This lets AI assistants present up‑to‑date market information or propose the creation of a new liquidity pool when appropriate.
  • Trading Operations – Generate swap quotes that support fixed‑input, fixed‑output, and slippage calculations. The server handles both Tinyman v1.1 and the newer v2 protocol, ensuring compatibility with a broad range of pools.
  • Liquidity Management – Provide quotes for adding or removing liquidity, supporting single‑asset and dual‑asset deposits as well as proportional or single‑asset withdrawals. This enables AI assistants to help users grow their positions or liquidate them efficiently.

Beyond these core tools, the server also supplies asset‑level utilities such as opt‑in and opt‑out quotes for assets and validators, making it a one‑stop solution for all Tinyman‑related interactions.

Real‑world use cases include:

  • A financial chatbot that advises users on the best swap rates or liquidity opportunities and then executes the trade automatically.
  • A portfolio manager that tracks pool performance, alerts users to high‑volume periods, and rebalances positions in real time.
  • A decentralized application (dApp) that uses AI to guide new users through the process of providing liquidity or creating a custom pool.

Integration is straightforward: AI assistants invoke the server’s tools via MCP calls, receive structured responses (quotes, analytics, or transaction data), and then pass the resulting transactions to a client module for signing and submission. This decoupling keeps the AI logic clean while delegating blockchain intricacies to the server.

What sets Tinyman MCP apart is its protocol‑agnostic design—supporting both v1.1 and v2—and the breadth of operations it exposes, from simple swaps to full pool lifecycle management. For developers building AI assistants that need robust, Algorand‑native DeFi capabilities, Tinyman MCP delivers a comprehensive, plug‑and‑play interface that reduces development time and lowers the barrier to entry for sophisticated blockchain interactions.