# ArcLeap MCP

> ArcLeap MCP — danilaverbena-arcleap-mcp. Use this tool when you need to transfer native USDC between multiple blockchain networks, such as Ethereum, Base, and Polygon, with features like idempotent transfers and balance checks. It solves problems of cross-network USDC transfers, providing a reliable and efficient bridge for AI agents. The ArcLeap MCP server takes network and transfer details as input and outputs bridged USDC, ideal for use cases requiring seamless cross-chain transactions.

Canonical page: https://skillsregistry.net/skills/danilaverbena-arcleap-mcp  
JSON: https://api.skillsregistry.net/v1/skills/danilaverbena-arcleap-mcp

## Description

MCP server that lets AI agents bridge native USDC between networks (Ethereum, Base, Arbitrum, OP Mainnet, Polygon, Avalanche, and testnets) via Circle CCTP V2, featuring idempotent transfers, disk-persisted state, balance/gas checks, and configurable limits.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cshi4v6v2p)
- **Repository:** <https://github.com/danilaverbena/arcleap-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": "danilaverbena-arcleap-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/danilaverbena-arcleap-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/danilaverbena-arcleap-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