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Claude Code for crypto development - AI terminal with blockchain-native tools for Ethereum and Solana
Claude Code for crypto development.
Codexa AI is Claude Code, but built for crypto. Same terminal interface, same workflow, but with blockchain-native context and tools that actually understand on-chain state.
Crypto devs shouldn't have to context-switch between terminals, RPCs, explorers, and dashboards. Codexa AI brings it all into one place where the AI can read contracts, trace transactions, simulate mainnet, and help you build complete products—contracts, backends, and frontends—all in the same session.
Right now:
/balance, /gas, /network)Coming next:
Codexa AI is built on the Claude Code foundation, providing the same terminal interface and workflow, but specialized for crypto development.
We've added:
The AI tracks relationships between files, understands your stack, and helps you build complete products incrementally—contracts, APIs, and frontends together, with the AI maintaining consistency across layers.
npx codexa-ai@latest
Create a coder.config.ts:
import { anthropic } from '@ai-sdk/anthropic'
import type { Config } from 'codexa-ai'
export default {
model: anthropic('claude-haiku-4-5-20251001'),
} satisfies Config
Ask it to check a balance, read a contract, or help you build something. It understands Ethereum and Solana out of the box.
Example: Try "Create an ERC-20 token" and watch it suggest the full stack—contract, deployment script, backend API, and frontend hooks.
Extend Codexa AI with MCP tools:
import { createMcp } from 'codexa-ai/mcp'
export default {
mcp: [
createMcp({
name: 'etherscan',
command: 'npx',
args: ['@your-org/etherscan-mcp@latest'],
}),
],
} satisfies Config
We're building crypto-specific MCP tools for Etherscan, DeFi protocols, and more. The ecosystem is extensible—build your own or use community tools.
Networks:
Tools:
Codexa AI uses a three-layer architecture:
Core Tools (Built-in) Essential functionality that ships with Codexa AI: project analysis, code generation, testing, deployment, and relationship tracking. These are the foundation that makes incremental full-stack development possible.
Context System A project-aware layer that maintains understanding of your codebase structure, tracks relationships between contracts and frontends, and provides intelligent context to the AI. When you work on a contract, it knows which backend APIs and frontend components use it.
MCP/Plugins (Extensibility) External tools and services integrated via Model Context Protocol. Crypto-specific MCP tools for Etherscan, DeFi protocols, security analysis, and more. The ecosystem is extensible—use community tools or build your own.
This architecture lets you build complete crypto products step-by-step. The AI understands your project, suggests updates across layers when you make changes, and keeps everything consistent.
Phase 1: Foundation (Current)
Phase 2: Full-Stack Development
Phase 3: Advanced Capabilities
FAQs
Claude Code for crypto development - AI terminal with blockchain-native tools for Ethereum and Solana
We found that codexa-ai demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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Security News
Multiple high-impact npm maintainers confirm they have been targeted in the same social engineering campaign that compromised Axios.

Security News
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Node.js has paused its bug bounty program after funding ended, removing payouts for vulnerability reports but keeping its security process unchanged.