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Polymarket Intel MCP Server

@aemery13

基本情報

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その他

トランスポート

stdio

作者

aemery13

投稿者

aemery13

Polymarket Intel MCP Server について

An MCP server and REST API that classifies Polymarket wallets as human or bot, scores their trading edge from 0–10, and streams their current open positions. Built for AI agents on copy-trading and signal-following stacks.

Polymarket Intel MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "polymarket-intel": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        ".venv",
        "&&",
        "source",
        ".venv/bin/activate"
      ]
    }
  }
}

Polymarket Intel MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Polymarket Intel?

Polymarket Intel is an MCP server and REST API that classifies Polymarket wallets as human or bot, scores their trading edge from 0–10, and streams their current open positions. It is built for AI agents on copy-trading and signal-following stacks.

How to use Polymarket Intel?

Install via pip install polymarket-intel-mcp then run polymarket-intel-mcp, or call the hosted REST API directly with curl https://polymarket-intel-production.up.railway.app/.... You can also clone the repo, install dependencies, and use the CLI (python scripts/analyze_wallet.py), the FastAPI REST API (uvicorn api.main:app --reload), or the MCP server (python mcp_server/server.py). The MCP server exposes four tools: score_polymarket_wallet, score_polymarket_user, get_polymarket_leaderboard, and get_open_positions.

Key features of Polymarket Intel

  • Classifies wallets as human, bot, or insufficient_data with confidence score
  • Scores trading edge from 0–10 gated on net realised PnL
  • Streams current open positions refreshed every 30 seconds
  • Provides historical score time series via daily snapshots
  • Distributed as MCP server, REST API, and hosted MCP endpoint
  • Includes PnL reconstruction from raw trade and redeem activity

Use cases of Polymarket Intel

  • AI agents filtering which Polymarket wallets to copy-trade
  • Signal-following stacks evaluating trader edge over time
  • Dashboards or analytics tools querying wallet classification and position history
  • Research projects analyzing leaderboard wallet behaviour and bot detection

よくある質問

1

How does Polymarket Intel compare to other Polymarket MCP servers?

Polymarket Intel focuses on wallet intelligence (human vs bot, edge score, open positions) for deciding whose signals to follow, whereas other servers provide market data, pricing/slippage, or autonomous trading.

2

What are the runtime requirements?

Python via `pip install polymarket-intel-mcp`. A Postgres-compatible database (Supabase) is optional; without it the API uses an in-memory repository and history endpoints return empty results.

3

Where are scores and history stored?

By default in memory. For persistence, set up Supabase with the provided schema and the snapshot job writes wallet scores, open position snapshots, and leaderboard snapshots daily at 08:00 UTC.

4

What are the known limits on data freshness?

Open positions refresh every 30 seconds; polling below 10 seconds does not return fresher data due to Polygon block time (~2s) and Polymarket activity index lag. Score endpoint writes to history at most once per wallet per hour.

5

What transports and authentication are supported?

MCP uses stdio transport; the REST API serves HTTP. No authentication or API keys are mentioned in the README.

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