Snak – Starknet‑Powered AI Agent Engine

Snak is an MCP server that brings the power of the Starknet blockchain to AI assistants. It solves the problem of building secure, tamper‑proof agents that can execute complex workflows while keeping sensitive data and transaction logic on a transparent, immutable ledger. Developers can now treat AI agents as first‑class smart contracts: every decision, data fetch, or external call is recorded on Starknet, enabling auditability and trust in multi‑party collaborations.

At its core, Snak exposes a rich set of MCP capabilities. The server hosts resources that represent Starknet accounts and contracts, allowing agents to sign transactions, query state, or deploy new contracts. It offers a tool layer where developers can register custom functions—such as querying a DeFi protocol or invoking an oracle—and have those tools automatically available to the AI model. The prompt service lets you craft reusable instruction templates that guide the agent’s reasoning, while the sampling endpoint controls how the model generates responses (temperature, top‑k, etc.). Together, these pieces create a sandboxed environment where the AI can safely interact with the blockchain without exposing private keys or opening arbitrary network ports.

Snak shines in scenarios that demand both intelligent decision‑making and cryptographic assurance. For example, a decentralized finance (DeFi) strategy bot can use the AI to analyze market trends, then submit on‑chain swaps that are automatically signed by a Starknet wallet. In supply‑chain logistics, an agent could orchestrate shipment updates, record provenance data on the ledger, and trigger smart‑contract payouts once conditions are met. Because every action is logged, auditors can verify that the AI behaved as instructed and no illicit transactions occurred.

Integrating Snak into an existing MCP workflow is straightforward. The server exposes standard MCP endpoints, so any AI client that understands the protocol can request resources, invoke tools, or fetch prompts without custom adapters. Developers simply provide a file with Starknet credentials and AI provider keys, then point their client to Snak’s API key. The server handles authentication, model selection (via ), and secure transaction signing behind the scenes. This decouples agent logic from infrastructure, letting teams focus on business rules rather than plumbing.

What sets Snak apart is its blend of blockchain security and AI flexibility. By tying every agent action to a Starknet transaction, it eliminates the risk of replay attacks or unauthorized state changes. At the same time, the MCP interface ensures that developers can plug in any LLM provider—OpenAI, Anthropic, Gemini, or a local Ollama model—and switch models with minimal friction. The optional LangSmith tracing integration adds observability, enabling developers to monitor prompt flows and model performance in real time. In short, Snak provides a turnkey platform for building trustworthy AI agents that operate directly on the Starknet network.