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Home » Cryptocurrency

deBridge Launches MCP API for AI Driven Cross Chain Transactions

Published on: February 16, 2026
Barry Elad
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Barry Elad
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Founder & Senior Journalist • 761 Articles
Barry Elad is a seasoned journalist and analyst specializing in finance, technology, AI, and founder of SQ Magazine. He explores the world o...
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Debridge Launches Mcp Api
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deBridge has introduced a new Model Context Protocol server designed to let AI agents execute non custodial cross chain transactions across EVM networks and Solana.

Quick Summary – TLDR:

  • deBridge launches Model Context Protocol or MCP to support AI driven blockchain automation.
  • AI agents can execute swaps, bridges, and multi step transactions across EVM chains and Solana.
  • Users retain custody of funds with deterministic execution and MEV aware routing.
  • The release builds on deBridge Bundles and its broader chain abstracted execution roadmap.

What Happened?

Cross chain protocol deBridge has officially launched its Model Context Protocol server, a new infrastructure layer designed to enable AI agents and developer tools to perform automated blockchain transactions.

The system allows AI assistants to execute swaps, bridging, and multi step onchain flows across EVM compatible networks and Solana, while users maintain full custody of their funds.

deBridge launches MCP, enabling AI agents to execute non-custodial cross-chain transactions https://t.co/FsJW7G2bHA

— The Block (@TheBlock__) February 16, 2026

A Universal API for AI Agents

According to the team, managing onchain transactions across different wallets, platforms, and user interfaces remains tedious and error prone. The new MCP server aims to simplify this by providing what deBridge calls a universal trading API.

“The tool opens up possibilities for what we call Vibe Trading: describe the desired outcome, and the AI assistant will take care of the rest,” the statement reads.

The protocol connects with AI agents and developer tools such as Claude, Cursor, Copilot, Gemini, and ChatGPT. Through an end to end execution mechanism, AI assistants can:

  • Ponder over a user request.
  • Calculate the optimal path to accomplish the task.
  • Build a transaction route.
  • Exchange tokens within a network.
  • Move assets across different blockchains.

Developers say this removes the need for constant wallet switching, fee management, and manual transaction retries.

The developers noted:

“

Gone are the days of switching between interfaces, synchronizing wallets, and managing fees. Now agents can understand simple dialogues or programmable intentions and instantly achieve the desired result, as well as reason, plan, optimize, and execute all actions without human micromanagement.

Developers @ deBridge

Deterministic Execution and Non Custodial Design

deBridge describes the MCP server as offering deterministic execution, with quotes structured to execute as intended. It also includes MEV aware routing optimized for reliability.

Execution is abstracted behind a single interface that handles wallet orchestration, chain switching, and transaction retries. These steps have traditionally created friction for automated systems and consumer applications.

Importantly, users retain custody of their funds throughout the process. The protocol operates a zero TVL, solver driven architecture, which enables direct liquidity transfers between chains without relying on wrapped assets.

Currently, deBridge supports 24 blockchains, including Ethereum, Base, Tron, and Solana.

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Part of a Broader Chain Abstracted Roadmap

The MCP launch follows the release of deBridge Bundles last December. Bundles introduced an intent based execution model that allows users to specify a desired outcome, while the protocol handles the underlying blockchain interactions.

Bundles marked the first stage of deBridge’s broader roadmap focused on chain abstracted execution. The project describes its vision as enabling any action on any chain through one execution engine.

Potential applications for MCP include:

  • AI trading assistants rebalancing portfolios across chains.
  • Bots executing complex multi step strategies.
  • Consumer apps embedding cross chain execution.
  • Developer tools translating natural language into onchain actions.

The MCP source code has been made open source, allowing other projects to build compatible products and integrations.

Market Context and Industry Momentum

Founded in 2022, deBridge has raised $5.5 million from investors including Animoca Brands and ParaFi Capital. The project launched its mainnet in 2022 and introduced its governance token DBR in 2024.

Since its debut, DBR has declined by 57 percent. At the time of writing, the token is trading at $0.016, down 0.2 percent over the past 24 hours, with a market capitalization of approximately $75.4 million, according to CoinGecko.

Dbr Token Price 16th Feb
Image Credit – CoinGecko.com

The launch also comes amid growing industry interest in combining AI with blockchain infrastructure. In February, Lightning Labs released an open source toolkit to provide AI agents with direct access to the Lightning Network. Coinbase has also introduced wallet infrastructure designed for autonomous assistants.

SQ Magazine’s Takeaway

I think this is a serious step toward making crypto usable through AI. If MCP works as promised, users may not need to manually switch wallets or calculate bridges ever again.

The bigger picture is clear. Blockchain is moving toward abstraction, and AI is becoming the interface. deBridge is betting that the future of crypto transactions will not be clicks and dashboards, but conversations and automated execution.

If adoption grows, this could quietly reshape how people interact with multiple chains.

This article has been reviewed and fact-checked by Robert A. Lee. SQ Magazine follows strict Publishing Principles and a documented Fact-Check Policy to ensure accuracy, transparency, and editorial independence across all content.

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Barry Elad

Barry Elad

Founder & Senior Journalist


Barry Elad is a seasoned journalist and analyst specializing in finance, technology, AI, and founder of SQ Magazine. He explores the world of artificial intelligence, uncovering trends, data, and real-world impacts for readers. When he’s off the page, you’ll find him cooking healthy meals, practicing yoga, or exploring nature with his family.

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Table of Contents

  • Quick Summary – TLDR:
  • What Happened?
  • A Universal API for AI Agents
  • Deterministic Execution and Non Custodial Design
  • Part of a Broader Chain Abstracted Roadmap
  • Market Context and Industry Momentum
  • SQ Magazine’s Takeaway
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