# MCP-Server-Lighter

> MCP-Server-Lighter — isabelpapaya-mcp-server-lighter. Use this tool when you need to query wallet farming statistics in natural language, as it exposes Lighter DEX data such as volume, points, and liquidity. The MCP-Server-Lighter provides read-only access to this data, requiring no keys, and is compatible with agents like Claude, Cursor, and Cline. It solves the problem of easily retrieving farming stats, making it ideal for use cases where natural language querying is necessary.

Canonical page: https://skillsregistry.net/skills/isabelpapaya-mcp-server-lighter  
JSON: https://api.skillsregistry.net/v1/skills/isabelpapaya-mcp-server-lighter

## Description

Exposes Lighter DEX data (volume, points, rank, liquidity, airdrop eligibility) as MCP tools, letting LLM agents query wallet farming stats in natural language. Read-only, no keys required, works with Claude, Cursor, and Cline.

## 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:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yu6pgffv3h)
- **Repository:** <https://github.com/isabelpapaya/MCP-Server-Lighter>

## 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": "isabelpapaya-mcp-server-lighter"
    }
  }
}
```

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