Cairo Coder

Overview

Cairo Coder is a purpose‑built MCP server that empowers developers to generate Cairo smart contracts and programs directly from natural language prompts. By exposing a lightweight, OpenAI‑compatible API, it allows AI assistants—such as Claude or other LLM clients—to seamlessly request code snippets, entire contract templates, or detailed implementation guidance without leaving the assistant’s environment. This eliminates the need for manual boilerplate creation, reduces human error, and accelerates iteration cycles in Starknet‑based projects.

The core value proposition lies in its Retrieval‑Augmented Generation (RAG) pipeline built with DSPy. Rather than relying on a generic language model, Cairo Coder ingests the latest Cairo documentation and best‑practice guides into a vector store. When a user submits a query, the system retrieves relevant documentation chunks, conditions the language model with this context, and produces code that adheres to Cairo’s syntax, security patterns, and performance considerations. The result is highly reliable, self‑documented code that passes linting and unit tests more often than ad‑hoc generation.

Key capabilities include:

• Natural‑language to Cairo translation: Convert plain English requests into fully functional contracts, functions, or libraries.
• Multi‑LLM support: Switch between OpenAI, Anthropic, Google Gemini, or any compatible provider to balance cost and quality.
• Source‑informed generation: Continuously updated vector embeddings ensure that the output reflects the latest Cairo language features and community standards.
• OpenAI API compatibility: Existing AI workflows that already consume the OpenAI endpoint can integrate Cairo Coder with minimal changes, preserving tooling and authentication flows.

Typical use cases span rapid prototyping of token contracts, generating upgradeable logic modules, or auto‑generating test vectors for Cairo code. In a CI/CD pipeline, developers can invoke the server to produce contract scaffolds that are immediately subjected to static analysis and unit tests, dramatically reducing manual coding effort. For AI‑driven development assistants, Cairo Coder becomes a first‑class tool that bridges natural language intent with the strict constraints of Cairo, enabling a smoother developer experience on Starknet.