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Orcalayer

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Enables smart-money whale and market analytics for Polymarket, including leaderboards, wallet profiles, positions, market clusters, and alerts, through Claude D

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Описание

Enables smart-money whale and market analytics for Polymarket, including leaderboards, wallet profiles, positions, market clusters, and alerts, through Claude Desktop and other MCP clients.

README

PyPI MIT License MCP MCP Badge Glama MCP orcalayer-mcp MCP server

Model Context Protocol (MCP) server for the OrcaLayer API — Polymarket whale and market analytics inside Claude Desktop and other MCP clients.

It is a thin stdio wrapper over the orcalayer Python SDK and exposes five tools:

Tool What it does Key
leaderboard Rank smart-money whales by P&L, win rate or volume No
wallet_overview A wallet's profile and performance summary No
wallet_positions A wallet's largest open positions No
markets Search markets where smart whales are clustering No
whale_alerts Live feed of recent smart-whale trades Premium

Public tools work anonymously. whale_alerts needs a Premium API key (get one) supplied via the ORCALAYER_API_KEY environment variable.

Prompts

Ready-to-use prompts for common analytics scenarios:

Prompt What it does
analyze_wallet Full wallet analysis — smart money or farmer?
find_divergence Markets where smart money disagrees with the current price
hedge_check Whether a wallet's profit was real alpha or a hedge structure
territorial_markets_review Ukraine territorial markets with ISW frontline overlay

In Claude Desktop, pick a prompt from the prompt menu (the + / slash-command picker) — each one orchestrates the tools above for you.

Resources

Read-only context the model can pull directly — no tool call needed:

Resource URI Content
orcalayer://methodology How smart money is filtered from farmers, hedgers and market-makers
orcalayer://glossary Prediction-markets glossary
orcalayer://api-reference OrcaLayer REST API reference (endpoints, auth, rate limits)

Use with Claude Desktop

Add this to your claude_desktop_config.json (%APPDATA%\Claude\claude_desktop_config.json on Windows, ~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "orcalayer": {
      "command": "uvx",
      "args": ["orcalayer-mcp"]
    }
  }
}

The public tools work as-is. For the Premium whale_alerts tool, add your API key (get one):

{
  "mcpServers": {
    "orcalayer": {
      "command": "uvx",
      "args": ["orcalayer-mcp"],
      "env": { "ORCALAYER_API_KEY": "ol_your_key" }
    }
  }
}

Restart Claude Desktop after editing the config.

License

MIT. See LICENSE.

Data is provided for informational purposes only and is not financial advice.

from github.com/orcalayer/orcalayer-mcp

Установка Orcalayer

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/orcalayer/orcalayer-mcp

FAQ

Orcalayer MCP бесплатный?

Да, Orcalayer MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Orcalayer?

Нет, Orcalayer работает без API-ключей и переменных окружения.

Orcalayer — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Orcalayer в Claude Desktop, Claude Code или Cursor?

Открой Orcalayer на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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