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orcalayer mcp

orcalayer mcp

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@orcalayer1PythonMITUpdated 2w ago

Polymarket smart-money analytics: whale leaderboard, wallet P&L, market consensus, live alerts

orcalayer-mcp

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 six tools:

ToolWhat it doesKey
leaderboardRank smart-money whales by P&L, win rate or volumeNo
wallet_overviewWallet profit tracking: profile, P&L and win-rate summaryNo
wallet_positionsA wallet's largest open positionsNo
marketsTrack smart money flows: search markets where smart whales are accumulatingNo
market_consensusSmart-money consensus on one market vs its price (head-count + capital-weighted)No
whale_alertsReal-time alerts on profitable wallets: live feed of smart-whale tradesPremium

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

New (2026-07-22): the Premium SSE stream (/api/public/v1/live/trades) now carries settlement_type (MINT / MERGE / COMPLEMENTARY / null) on every event — live-derived settlement mechanics, shadow-verified 100.000% accurate on MINT/MERGE. It describes how the match settled, not trader intent (~80% of all fills settle as MINT; null = honest refusal, not "not a mint"). Details: the orcalayer://api-reference resource or orcalayer.com/docs/api.

Prompts

Ready-to-use prompts for common analytics scenarios:

PromptWhat it does
analyze_walletFull wallet analysis — smart money or farmer?
find_divergenceMarkets where smart money disagrees with the current price
hedge_checkWhether a wallet's profit was real alpha or a hedge structure
territorial_markets_reviewUkraine 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 URIContent
orcalayer://methodologyHow smart money is filtered from farmers, hedgers and market-makers
orcalayer://glossaryPrediction-markets glossary
orcalayer://api-referenceOrcaLayer 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": "sk_orca_your_key_here" }
    }
  }
}

Restart Claude Desktop after editing the config.

License

MIT. See LICENSE.

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


mcp-name: io.github.orcalayer/orcalayer-mcp