# Haiku DeFi MCP

> Use this tool when you need to execute decentralized finance (DeFi) operations across multiple blockchain chains. Haiku DeFi MCP enables AI agents to swap, lend, bridge, and yield assets seamlessly, solving problems of fragmented liquidity and limited cross-chain functionality. It provides a unified interface for inputs such as asset selection and outputs including transaction status and yield returns, ideal for use cases requiring multi-chain DeFi execution.

Canonical page: https://skillsregistry.net/skills/io-github-haiku-trading-haiku-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/io-github-haiku-trading-haiku-mcp-server

## Description

DeFi execution for AI agents — swap, lend, bridge, and yield across 22 chains.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.0.8
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-23

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Haiku-Trading%2Fhaiku-mcp-server)
- **Repository:** <https://github.com/Haiku-Trading/haiku-mcp-server>

## 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": "io-github-haiku-trading-haiku-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-haiku-trading-haiku-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-haiku-trading-haiku-mcp-server/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