# Relay Protocol MCP Server

> Use this tool when you need to facilitate seamless interactions across multiple blockchain networks, enabling cross-chain bridging, token swaps, and real-time pricing. It solves problems of interoperability and fragmented liquidity, providing a unified interface for browsing tokens, generating quotes, and tracking transactions. The Relay Protocol MCP Server accepts natural language inputs and outputs quotes, transaction status, and real-time pricing data through the REST API.

Canonical page: https://skillsregistry.net/skills/warengonzaga-relay-protocol-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/warengonzaga-relay-protocol-mcp-server

## Description

Enables cross-chain bridging, multi-chain token swaps, and real-time pricing across over 50 blockchain networks using the Relay Protocol REST API. It allows users to browse thousands of tokens, generate quotes, and monitor transaction status directly through natural language.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p74eoywzfn)
- **Repository:** <https://github.com/warengonzaga/relay-protocol-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": "warengonzaga-relay-protocol-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/warengonzaga-relay-protocol-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/warengonzaga-relay-protocol-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
