# deBridge

> Use this tool when you need to integrate cross-chain bridging and swap functionality into your AI workflow, enabling seamless interactions across major blockchain networks. deBridge solves problems related to token and chain discovery, swap order creation, and transaction tracking, providing a streamlined interface for AI agents to access its protocol. It offers both HTTP endpoint and local npm proxy inputs, with outputs including fee estimates and transaction tracking data.

Canonical page: https://skillsregistry.net/skills/debridge  
JSON: https://api.skillsregistry.net/v1/skills/debridge

## Description

deBridge provides an MCP server for AI agents to interact with deBridge Finance's cross-chain bridging and swap protocol. It exposes tools for token and chain discovery, cross-chain swap order creation, fee estimation, and transaction tracking across major blockchain networks. Both a remote streamable HTTP endpoint and a local npm proxy are available for integration with Claude, Cursor, GitHub Copilot, and similar tools.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/debridge)
- **Repository:** <https://github.com/debridge-finance/debridge-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": "debridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/debridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/debridge/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