# LI.FI

> Use this tool when you need to facilitate seamless cross-chain transactions, bridging, and DeFi yield discovery across multiple chains, bridges, and decentralized exchanges. It solves problems related to fragmented DeFi ecosystems by providing a unified aggregator interface for quotes, routes, and transaction management. The tool takes in API requests and returns unsigned transaction requests for wallet signing and broadcasting, with optional API key authentication for higher rate limits.

Canonical page: https://skillsregistry.net/skills/li-fi-lifi-mcp  
JSON: https://api.skillsregistry.net/v1/skills/li-fi-lifi-mcp

## Description

Cross-chain swaps, bridging, and DeFi yield discovery via the LI.FI aggregator. Provides MCP tools for quotes, routes, token and chain metadata, transaction status, ERC20 allowances, and yield vaults across 58 chains, 27+ bridges, and 31+ DEXes. Read-only — returns unsigned transaction requests for the agent's wallet to sign and broadcast. An optional LI.FI API key (Bearer or X-LiFi-Api-Key header) unlocks higher rate limits.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-21

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/li-fi/lifi-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "li-fi-lifi-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/li-fi-lifi-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/li-fi-lifi-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt