Automating Onchain Trades with Claude and B3OS MCP

The intersection of AI agents and onchain execution is rapidly evolving. While agents like Claude offer incredible reasoning capabilities, they require a secure, permissioned environment to interact with smart contracts safely. By integrating B3OS with the Model Context Protocol (MCP), users can now bridge the gap between natural language intent and onchain action within a controlled, sandboxed environment.

Watch the original B3OS video tutorial on YouTube.

What you will learn

• B3OS uses the Model Context Protocol (MCP) to safely connect AI agents to onchain workflows.
• The B3OS sandbox prevents agents from executing unauthorized or malicious smart contract interactions.
• Users can execute complex trades, such as leveraged positions on Hyperliquid, using natural language.
• AI agents can auto-generate operational workflows, including real-time liquidation alerts.
• Notifications can be routed to multiple platforms like Slack, Discord, Telegram, and email.

Bridging AI Agents and Onchain Execution

AI agents have the potential to simplify complex crypto operations, but granting them full access to a wallet is a significant security risk. B3OS solves this by acting as a secure intermediary. By utilizing the Model Context Protocol (MCP), B3OS allows agents like Claude to interface with specific, pre-approved onchain actions.

This architecture ensures that the agent operates within defined guardrails. Instead of giving the AI unrestricted control, B3OS provides a sandbox where every transaction requires explicit permission, preventing the agent from interacting with unauthorized or malicious contracts.

Setting Up the B3OS MCP Integration

The integration process is designed for ease of use, allowing for a one-click installation within compatible AI environments like Claude, Cursor, or Codex. Once the B3OS MCP server is active, the agent gains the ability to query your wallet status, such as checking treasury balances or portfolio holdings.

By establishing this connection, you effectively turn your chat interface into a command center for your onchain operations, moving away from manual interactions with dApp UIs toward intent-based execution.

Executing Onchain Trades via Natural Language

With the B3OS MCP connection, you can prompt an agent to perform specific trading actions, such as opening a leveraged position on protocols like Hyperliquid. The agent translates your natural language request into a precise onchain transaction.

Because B3OS manages the execution, you maintain oversight. You can request changes to parameters—such as adjusting leverage—mid-trade, and the agent handles the underlying contract interactions while you review the outcome.

Building Dynamic Liquidation Alerts

Beyond active trading, AI agents can assist in building operational workflows on the fly. A primary use case is the creation of automated monitoring systems, such as liquidation alerts for leveraged positions.

Instead of manually configuring complex monitoring tools, you can ask your AI agent to build an alert workflow. B3OS then auto-generates the necessary logic, allowing you to route notifications to your preferred channels, including Telegram, Slack, Discord, email, or directly within your chat interface.

Security Through Sandboxed Automation

The core value of B3OS is the separation of agent reasoning from transaction execution. By isolating the agent in a sandbox, B3OS ensures that even if an agent attempts an unintended action, it is constrained by the permissions and rules you have set.

This approach allows developers and operators to leverage the productivity gains of AI agents without sacrificing the security of their onchain assets.

Workflow ideas to try in B3OS

• Automated Position MonitoringUse Claude to trigger a B3OS workflow that monitors your collateral ratio and pings your Slack channel if it drops below a threshold.
• Portfolio RebalancingPrompt your agent to analyze your wallet balance and execute a swap on a DEX to bring your assets back to a target allocation.
• Transaction Approval HandoffsCreate a workflow where an AI agent prepares a transaction draft in B3OS, which then requires a manual signature from a multi-sig wallet before execution.

Frequently asked questions

Is my wallet key shared with the AI agent?

No. B3OS acts as a secure sandbox. The AI agent sends requests to B3OS, which handles the execution within established security guardrails.

Can I use B3OS with agents other than Claude?

Yes. B3OS supports the Model Context Protocol (MCP), which is compatible with various AI agents including Cursor, Codex, and others.

Are my trades executed automatically without my approval?

B3OS is designed with security guardrails. Every onchain action is performed within a controlled environment where you maintain oversight of the transactions being executed.