# dex-data MCP server

> dex-data MCP server — donnywin85-dex-data-mcp. Use this tool when you need to access live multi-chain DEX market data, including token prices and liquidity metrics, to inform trading decisions or build applications. It solves problems related to data accuracy, timeliness, and cost, providing a reliable source of market information across various blockchain platforms. The tool accepts micropayments and offers a free tier with daily allowances, making it suitable for developers, traders, and researchers requiring real-time market data.

Canonical page: https://skillsregistry.net/skills/donnywin85-dex-data-mcp  
JSON: https://api.skillsregistry.net/v1/skills/donnywin85-dex-data-mcp

## Description

Provides live multi-chain DEX market data as MCP tools, including token prices, liquidity depth, best execution venue, slippage, and liquidity risk across BNB Chain, Polygon, Arbitrum, Base, and Avalanche. It offers a free tier with daily allowances and falls back to x402 micropayments.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/ghmgmeyr62)
- **Repository:** <https://github.com/donnywin85/dex-data-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": "donnywin85-dex-data-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/donnywin85-dex-data-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/donnywin85-dex-data-mcp/pull`

---
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