Bridge Rates MCP Server

Overview

The Bridge Rates MCP server supplies on‑chain AI agents with live cross‑chain bridging data, enabling them to make informed routing and cost decisions in real time. By exposing bridge rates from LI.FI, the server gives agents a single, consistent API to query how much of a token will arrive on another chain, the gas cost in USD, and which providers are available. This is especially valuable for decentralized finance (DeFi) protocols that need to route assets between networks, automated market makers that must consider bridge fees, or any smart contract that performs cross‑chain swaps on behalf of users.

At its core, the server offers three lightweight tools:

• – Returns a Markdown table of all viable routes for a specified token pair, including the minimum amount that will be received and the associated gas cost.
• – Provides a sorted list of chains that LI.FI supports, giving agents quick access to chain metadata such as native token symbols.
• – Lists the bridges and exchanges that can be used for cross‑chain transfers, complete with provider keys and types.

These tools are intentionally simple yet comprehensive. They allow an AI assistant to compose a query like “What is the best route from Arbitrum USDC to Optimism DAI?” and receive a ready‑to‑display table that shows every provider, its cost, and recommended tags (e.g., RECOMMENDED, CHEAPEST). The Markdown format makes the output directly usable in conversational interfaces or for logging within smart contracts.

Real‑world scenarios that benefit from this MCP include:

• Automated liquidity provisioning – A protocol can automatically move assets to where they are most needed, balancing costs and slippage.
• Cross‑chain arbitrage bots – Agents can evaluate multiple bridge routes before executing a trade, ensuring the lowest possible cost.
• User‑facing wallets – When a user initiates a bridge, the wallet can display live rate information and suggest the optimal provider.
• Governance proposals – DAO members can analyze bridge fee structures across chains to decide on treasury allocations.

Integration into AI workflows is seamless. A Claude Desktop user, for example, can invoke by simply asking a natural‑language question; the MCP server translates that into an API call, returns a formatted table, and the assistant presents it without any additional code. Developers can embed these tools in custom scripts or smart contracts, leveraging the same underlying data source to keep on‑chain logic up to date.

Overall, the Bridge Rates MCP server turns complex cross‑chain data into actionable insights for AI agents. Its focus on real‑time rates, provider diversity, and Markdown output makes it a standout tool for any developer building intelligent, multi‑chain solutions.