# PancakeSwap PoolSpy MCP Server

> Use this tool when you need to track newly created liquidity pools on PancakeSwap DEX in real-time, providing detailed pool metrics for informed DeFi analysis and trading decisions. It solves problems related to liquidity pool discovery, market research, and trading strategy optimization. The tool accepts inputs such as pool data and outputs detailed metrics, including token pairs, transaction counts, and total value locked, making it ideal for use cases like market monitoring and trading signal generation.

Canonical page: https://skillsregistry.net/skills/k-lordbodin7-pancakeswap-poolspy-mcp  
JSON: https://api.skillsregistry.net/v1/skills/k-lordbodin7-pancakeswap-poolspy-mcp

## Description

Enables real-time tracking of newly created liquidity pools on PancakeSwap DEX. Provides detailed pool metrics including token pairs, creation timestamps, transaction counts, volume, and total value locked for DeFi analysis and trading decisions.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ad33zwo4bm)
- **Repository:** <https://github.com/k-lordbodin7/pancakeswap-poolspy-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": "k-lordbodin7-pancakeswap-poolspy-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/k-lordbodin7-pancakeswap-poolspy-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/k-lordbodin7-pancakeswap-poolspy-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
