Loading article…
Avantis integrates with Base’s Model Context Protocol, letting users query data, manage positions and execute perpetual futures via AI prompts on the Base L2.
Avantis, a decentralized perpetual futures exchange, is now one of the first seven protocols connected to Base’s Model Context Protocol (MCP), allowing traders to open leveraged positions through conversational AI prompts [1]. The integration adds market data queries, position management and trade execution to the AI‑driven workflow while keeping user approval mandatory.
Key takeaways
Base’s Model Context Protocol acts as a translator between a user’s natural‑language request and the blockchain transaction required to fulfill it [1]. When a trader asks an AI assistant to, for example, “open a 10× long on ETH‑USD,” the MCP converts the request into the appropriate calldata, routes it through the Base App for user approval, and then submits the transaction to Avantis [1]. This design ensures that no private keys are exposed; the AI only prepares the call while the user retains final signing authority [1].
Avantis built a dedicated skill plugin for MCP that defines the specific endpoints the AI can call. Read‑only data such as pair information, leverage rules, fees, open positions and PnL history are fetched via Base MCP’s web_request allowlist and work on any supported surface, including chat‑only interfaces like ChatGPT or Claude.ai [2]. For trade execution, the plugin calls the Avantis tx‑builder service to generate an unsigned calldata envelope, which is then submitted through MCP’s send_calls method. On chat‑only surfaces, the assistant may instead direct the user to Avantis’s web UI to complete the trade [2].
The integration arrives as AI‑driven DeFi tools expand beyond earlier experiments on chains such as Solana, aiming to lower technical barriers for retail participants [3]. Base’s MCP rollout, which also includes lending and swap protocols, reflects a broader industry trend toward standardized AI‑to‑blockchain interfaces introduced by Anthropic’s Model Context Protocol in 2024 [4]. By enabling AI‑mediated perpetual trading, Avantis hopes to attract more liquidity to its platform, which processed over $5 billion in testnet volume since its February 2024 launch [1].
Coverage is mostly measured — 8 of 8 reports stay neutral.
Every Monday — the token unlocks, Fed dates & catalysts set to move crypto and markets this week. So you’re never blindsided.
Free · 3-min read · one-click unsubscribe
Traditional futures have a pre-specified delivery date and require rolling over contracts, whereas perpetual futures can be held indefinitely and use a funding mechanism to maintain price alignment.
The funding mechanism is used to periodically exchange payments between long and short holders to keep the perpetual contract price close to the underlying asset's price.
Linking Avantis to Base MCP demonstrates a concrete step toward making complex DeFi actions accessible through simple conversational commands, potentially broadening the user base for perpetual futures trading. The mandatory approval step preserves security while the AI handles transaction construction, addressing a key concern for on‑chain automation. As AI agents become more integrated with DeFi protocols, future developments may include deeper analytics, automated risk controls and cross‑protocol strategies, all subject to user consent on the Base layer [4].
AI-assisted synthesis by the TrendWatcher Editorial Desk · sourced from 4 outlets · Jun 12, 2026 · How we report
While perpetual futures markets primarily developed within the cryptocurrency sector, they are increasingly being used for pre-IPO stocks and were originally conceptualized for illiquid assets like real estate.
High-leverage trading can lead to rapid liquidations, and some platforms employ auto-deleveraging, where profitable traders may forfeit a portion of their gains to cover the losses of others during high volatility.