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  1. Home
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  3. Orcalayer MCP
  4. README

Orcalayer MCP README

The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Orcalayer MCP listing page.

Back to Orcalayer MCP View source on GitHub

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):

config.json
{
  "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):

config.json
{
  "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