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Polymarket MCP Server

Polymarket MCP Server

πŸ€– Polymarket MCP Server

Python 3.10+ License: MIT MCP Protocol Tests AgentSeal MCP

Complete AI-Powered Trading Platform for Polymarket Prediction Markets

Enable Claude to autonomously trade, analyze, and manage positions on Polymarket with 45 comprehensive tools, real-time WebSocket monitoring, and enterprise-grade safety features.


πŸ‘¨β€πŸ’» Created By

Caio Vicentino

Developed in collaboration with:

Powered by Claude Code from Anthropic


Related MCP server: polymarket-trader-mcp

⭐ Key Features

🎯 45 Comprehensive Tools Across 5 Categories

πŸ” Market Discovery (8 tools)

  • Search and filter markets by keywords, categories, events

  • Trending markets by volume (24h, 7d, 30d)

  • Category-specific markets (Politics, Sports, Crypto)

  • Markets closing soon alerts

  • Featured and promoted markets

  • Sports markets (NBA, NFL, etc.)

  • Crypto prediction markets

πŸ“Š Market Analysis (10 tools)

  • Real-time prices and spreads

  • Complete orderbook depth analysis

  • Liquidity and volume metrics

  • Historical price data

  • AI-powered opportunity analysis with BUY/SELL/HOLD recommendations

  • Multi-market comparison

  • Top holders analysis

  • Risk assessment and scoring

  • Spread calculation and monitoring

πŸ’Ό Trading (12 tools)

  • Limit orders (GTC, GTD, FOK, FAK)

  • Market orders (immediate execution)

  • Batch order submission

  • AI-suggested pricing (aggressive/passive/mid strategies)

  • Order status tracking and history

  • Open orders management

  • Single and bulk order cancellation

  • Smart trade execution (natural language β†’ automated strategy)

  • Position rebalancing with slippage protection

  • Order book integration

πŸ“ˆ Portfolio Management (8 tools)

  • Real-time position tracking

  • P&L calculation (realized/unrealized)

  • Portfolio value aggregation

  • Risk analysis (concentration, liquidity, diversification)

  • Trade history with filters

  • On-chain activity log

  • Performance metrics

  • AI-powered portfolio optimization (conservative/balanced/aggressive)

⚑ Real-time Monitoring (7 tools)

  • Live price updates via WebSocket

  • Orderbook depth streaming

  • User order status notifications

  • Trade execution alerts

  • Market resolution notifications

  • Subscription management

  • System health monitoring

  • Auto-reconnect with exponential backoff

πŸ›‘οΈ Enterprise-Grade Safety & Risk Management

  • βœ… Order Size Limits - Configurable maximum per order

  • βœ… Exposure Caps - Total portfolio exposure limits

  • βœ… Position Limits - Per-market position caps

  • βœ… Liquidity Validation - Minimum liquidity requirements

  • βœ… Spread Tolerance - Maximum spread checks before execution

  • βœ… Confirmation Flow - User confirmation for large orders

  • βœ… Pre-trade Validation - Comprehensive safety checks

βš™οΈ Production-Ready Infrastructure

  • βœ… L1 & L2 Authentication - Wallet (private key) + API key auth

  • βœ… Advanced Rate Limiting - Token bucket algorithm respecting all Polymarket API limits

  • βœ… EIP-712 Signing - Secure order signatures

  • βœ… Auto-reconnect WebSockets - Resilient real-time connections

  • βœ… Comprehensive Error Handling - User-friendly error messages

  • βœ… No Mocks - Real Polymarket API integration throughout

  • βœ… Full Test Coverage - Production-grade testing with real APIs


🌐 Web Dashboard

NEW: Manage and monitor your Polymarket MCP Server with a modern web interface!

# Start the web dashboard
polymarket-web

# Or use the quick start script
./start_web_dashboard.sh

Access at: http://localhost:8080

Dashboard Features

  • Real-time Monitoring: Live MCP status, WebSocket connection, and statistics

  • Configuration Management: Visual sliders for safety limits and trading controls

  • Market Discovery: Search, filter, and browse markets with live updates

  • Market Analysis: AI-powered analysis with recommendations and risk assessment

  • System Monitoring: Performance charts, rate limits, and activity logs

  • Dark Theme: Professional UI optimized for extended use

See WEB_DASHBOARD.md for complete documentation.


πŸš€ Quick Start

Try DEMO mode first (no wallet needed):

# macOS/Linux
curl -sSL https://raw.githubusercontent.com/caiovicentino/polymarket-mcp-server/main/quickstart.sh | bash

# Or clone and run locally
git clone https://github.com/caiovicentino/polymarket-mcp-server.git
cd polymarket-mcp-server
./quickstart.sh

Full installation (with trading):

# macOS/Linux
./install.sh

# Windows
install.bat

The automated installer will:

  • βœ“ Check Python version (3.10+)

  • βœ“ Create virtual environment

  • βœ“ Install all dependencies

  • βœ“ Configure environment

  • βœ“ Set up Claude Desktop integration

  • βœ“ Test the installation

Installation Options

Method

Command

Best For

Quick Start

./quickstart.sh

First-time users, testing

DEMO Mode

./install.sh --demo

No wallet, read-only access

Full Install

./install.sh

Production trading setup

Windows

install.bat

Windows users

DEMO Mode vs Full Mode

DEMO Mode (No wallet required):

  • βœ… Market discovery and search

  • βœ… Real-time market analysis

  • βœ… AI-powered insights

  • βœ… Price monitoring

  • ❌ Trading disabled (read-only)

Full Mode (Requires Polygon wallet):

  • βœ… Everything in DEMO mode

  • βœ… Place orders and execute trades

  • βœ… Portfolio management

  • βœ… Position tracking

  • βœ… Real-time trade notifications

Manual Installation

If you prefer manual setup:

# Clone the repository
git clone https://github.com/caiovicentino/polymarket-mcp-server.git
cd polymarket-mcp-server

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install the package
pip install -e .

Configuration

Option 1: DEMO Mode (easiest)

cp .env.example .env
# Edit .env and set:
DEMO_MODE=true

Option 2: Full Trading Mode

cp .env.example .env
# Edit with your Polygon wallet credentials
nano .env

Required credentials (Full Mode):

POLYGON_PRIVATE_KEY=your_private_key_without_0x_prefix
POLYGON_ADDRESS=0xYourPolygonAddress

Recommended Safety Limits:

MAX_ORDER_SIZE_USD=1000
MAX_TOTAL_EXPOSURE_USD=5000
MAX_POSITION_SIZE_PER_MARKET=2000
MIN_LIQUIDITY_REQUIRED=10000
MAX_SPREAD_TOLERANCE=0.05
ENABLE_AUTONOMOUS_TRADING=false
REQUIRE_CONFIRMATION_ABOVE_USD=500

With ENABLE_AUTONOMOUS_TRADING=false (the default), every order is held and returned as confirmation_required until you re-issue it with confirm=true. Set it to true to let orders under REQUIRE_CONFIRMATION_ABOVE_USD go through without that step.

Claude Desktop Integration

Add to your Claude Desktop configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "polymarket": {
      "command": "/path/to/your/venv/bin/python",
      "args": ["-m", "polymarket_mcp.server"],
      "cwd": "/path/to/polymarket-mcp-server",
      "env": {
        "POLYGON_PRIVATE_KEY": "your_private_key",
        "POLYGON_ADDRESS": "0xYourAddress"
      }
    }
  }
}

Restart Claude Desktop and you're ready to trade! πŸŽ‰


πŸ“– Documentation

Getting Started

Developer Resources

Examples & Guides

System Architecture

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                    POLYMARKET MCP SERVER                    β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
    β”‚   Claude     β”‚
    β”‚   Desktop    β”‚ (Natural language interface)
    β””β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”˜
           β”‚ MCP Protocol
           β–Ό
    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
    β”‚           MCP Server (Python)                β”‚
    β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
    β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”   β”‚
    β”‚  β”‚  Market    β”‚  β”‚  Trading             β”‚   β”‚
    β”‚  β”‚  Discovery β”‚  β”‚  Engine              β”‚   β”‚
    β”‚  β”‚  (8 tools) β”‚  β”‚  (12 tools)          β”‚   β”‚
    β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜   β”‚
    β”‚                                              β”‚
    β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”   β”‚
    β”‚  β”‚  Market    β”‚  β”‚  Portfolio           β”‚   β”‚
    β”‚  β”‚  Analysis  β”‚  β”‚  Manager             β”‚   β”‚
    β”‚  β”‚  (10 tools)β”‚  β”‚  (8 tools)           β”‚   β”‚
    β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜   β”‚
    β”‚                                              β”‚
    β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”   β”‚
    β”‚  β”‚  Real-time WebSocket (7 tools)       β”‚   β”‚
    β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜   β”‚
    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                   β”‚
                   β–Ό
    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
    β”‚         Polymarket Infrastructure            β”‚
    β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
    β”‚  β€’ CLOB API (Order placement & management)   β”‚
    β”‚  β€’ Gamma API (Market data & analytics)       β”‚
    β”‚  β€’ WebSocket (Real-time price feeds)         β”‚
    β”‚  β€’ Polygon Chain (Settlement & execution)    β”‚
    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

πŸ’‘ Usage Examples

Market Discovery

Ask Claude:

"Show me the top 10 trending markets on Polymarket in the last 24 hours"
"Find all crypto markets about Bitcoin"
"What sports markets are closing in the next 12 hours?"
"Search for markets about Trump"

Market Analysis

"Analyze the trading opportunity for the government shutdown market"
"Compare these three markets and tell me which has the best risk/reward"
"What's the current spread on the Eagles vs Packers market?"
"Show me the orderbook depth for token ID xyz"

Autonomous Trading

"Buy $100 of YES tokens in [market_id] at $0.65"
"Place a limit order: sell 200 NO at $0.40 in [market]"
"Execute a smart trade: buy YES up to $500 in [market] using best strategy"
"Cancel all my open orders in the government shutdown market"
"Rebalance my position in [market] to $1000 with max 2% slippage"

Portfolio Management

"Show me all my current positions"
"What's my total portfolio value?"
"Analyze my portfolio risk and suggest improvements"
"What's my P&L for the last 30 days?"
"Which are my best and worst performing markets?"
"Suggest portfolio optimizations for a conservative strategy"

Real-time Monitoring

"Subscribe to price changes for the government shutdown markets"
"Monitor my order status in real-time"
"Alert me when the Eagles vs Packers market moves more than 10%"
"Show me real-time orderbook updates for [token_id]"

πŸ§ͺ Testing

# Install dev dependencies
pip install -e ".[dev]"

# Run all tests
pytest

# Run specific test suite
pytest tests/test_trading_tools.py -v

# Run with coverage
pytest --cov=polymarket_mcp --cov-report=html

# Run market analysis demo
python demo_mcp_tools.py

Note: All tests use real Polymarket APIs - NO MOCKS!


πŸ›‘οΈ Safety & Security

⚠️ Important Security Considerations

  • Private Key Protection: Never share or commit your private key

  • Start Small: Begin with small amounts ($50-100) to test

  • Understand Markets: Only trade in markets you understand

  • Monitor Positions: Check your positions regularly

  • Use Safety Limits: Configure appropriate limits for your risk tolerance

  • Never Risk More: Than you can afford to lose

Default Safety Limits

MAX_ORDER_SIZE_USD=1000              # Maximum $1,000 per order
MAX_TOTAL_EXPOSURE_USD=5000          # Maximum $5,000 total exposure
MAX_POSITION_SIZE_PER_MARKET=2000    # Maximum $2,000 per market
MIN_LIQUIDITY_REQUIRED=10000         # Minimum $10,000 market liquidity
MAX_SPREAD_TOLERANCE=0.05            # Maximum 5% spread
ENABLE_AUTONOMOUS_TRADING=false      # Every order needs confirm=true
REQUIRE_CONFIRMATION_ABOVE_USD=500   # When autonomous: confirm orders over $500

These can be customized in your .env file or Claude Desktop config.

Choosing the Outcome

Order tools take an outcome argument ("Yes", "No", or a label like "Lakers"). On a Yes/No market it defaults to Yes. Sports and multi-outcome markets have no Yes/No side, so the outcome must be given explicitly β€” the tool refuses the order and lists the available outcomes rather than guessing a side.


🀝 Contributing

Contributions are welcome! We appreciate your help making this project better.

Please read CONTRIBUTING.md for details on:

  • How to report bugs

  • How to suggest features

  • Code standards and guidelines

  • Pull request process

Quick Contribution Guide

  1. Fork the repository

  2. Create your feature branch (git checkout -b feature/AmazingFeature)

  3. Commit your changes (git commit -m 'Add some AmazingFeature')

  4. Push to the branch (git push origin feature/AmazingFeature)

  5. Open a Pull Request


πŸ“Š Project Stats

  • Lines of Code: ~10,000+ (Python)

  • Tools: 45 comprehensive tools

  • Test Coverage: High (real API integration)

  • Documentation: Comprehensive (multiple guides)

  • Dependencies: Modern Python packages (MCP, httpx, websockets, eth-account)


🌐 Community

Join Our Communities

Get Support


πŸ“„ License

This project is licensed under the MIT License - see the LICENSE file for details.


πŸ™ Acknowledgments

This project was made possible by:

  • Caio Vicentino - Creator and lead developer

  • Yield Hacker Community - DeFi expertise and testing

  • Renda Cripto Community - Trading insights and validation

  • Cultura Builder Community - Builder culture and support

  • Polymarket - Amazing prediction market platform

  • Anthropic - Claude and the MCP protocol

  • py-clob-client - Official Polymarket SDK

Special thanks to all contributors and community members who have helped improve this project!


⚠️ Disclaimer

This software is provided for educational and research purposes. Trading prediction markets involves financial risk.

Important Reminders:

  • Cryptocurrency trading carries significant risk

  • Only invest what you can afford to lose

  • Past performance does not guarantee future results

  • This is not financial advice

  • Always do your own research (DYOR)

  • Start with small amounts to learn the system

  • Understand the markets you're trading

  • Monitor your positions regularly

The authors and contributors are not responsible for any financial losses incurred through the use of this software.



πŸ“ˆ Roadmap

Current Version (v0.1.0)

  • βœ… 45 comprehensive tools

  • βœ… Real-time WebSocket monitoring

  • βœ… Safety limits and risk management

  • βœ… Complete test suite

  • βœ… Comprehensive documentation

Planned Features

  • CI/CD pipeline (GitHub Actions)

  • Enhanced AI analysis tools

  • Portfolio strategy templates

  • Market alerts and notifications

  • Performance analytics dashboard

  • Multi-wallet support

  • Advanced order types

  • Historical backtesting


🌟 Contributors

Thanks to everyone who has contributed to this project!

Contributors


Built with ❀️ for autonomous AI trading on Polymarket

Ready to make Claude your personal prediction market trader! πŸš€

⭐ Star this repo | πŸ› Report Bug | ✨ Request Feature

Available Tools

25 tools
analyze_market_opportunityC

AI-powered market analysis with trading recommendation, risk assessment, and confidence score.

Inputs: market_id (required).

compare_marketsC

Compare multiple markets side-by-side with key metrics (volume, liquidity, etc.).

Inputs: market_ids (required).

filter_markets_by_categoryA

Filter markets by category or tag (e.g., Politics, Sports, Crypto). Returns markets in the specified category.

Inputs: category (required), limit, active_only.

get_closing_soon_marketsB

Get markets closing within specified timeframe. Returns markets sorted by closing time.

Inputs: hours, limit.

get_crypto_marketsB

Get cryptocurrency-related markets. Optionally filter by specific crypto symbol.

Inputs: limit, symbol.

get_current_priceB

Get current bid/ask prices for a token. Returns PriceData with bid, ask, and mid prices.

Inputs: token_id (required), side.

get_event_marketsB

Get all markets for a specific event. Returns all markets belonging to the event.

Inputs: event_id, event_slug.

get_liquidityC

Get available liquidity in USD for a market.

Inputs: market_id (required).

get_market_detailsC

Get complete market information including metadata, tokens, volume, and liquidity.

Inputs: slug, market_id, condition_id.

get_market_holdersA

Get top position holders for a market. Note: Requires authenticated access.

Inputs: market_id (required), limit.

get_market_volumeA

Get volume statistics for different timeframes (24h, 7d, 30d, all-time).

Inputs: market_id (required), timeframes.

get_orderbookC

Get complete order book with bids and asks arrays.

Inputs: token_id (required), depth.

get_price_historyB

Get historical price data (OHLC). Note: Limited availability via public API.

Inputs: token_id (required), end_date, resolution, start_date.

get_realtime_statusA

Get status of all real-time WebSocket subscriptions. Shows active subscriptions, connection status, event statistics, and errors. Use this to monitor the health of real-time data feeds.

Inputs: no named parameters.

get_sports_marketsC

Get sports betting markets. Optionally filter by specific sport type.

Inputs: limit, sport_type.

get_spreadA

Get current spread (difference between bid and ask prices).

Inputs: token_id (required).

search_marketsB

Search markets by text query, slug, or keywords. Returns markets matching the search criteria.

Inputs: query (required), limit, filters.

subscribe_market_pricesA

Subscribe to real-time price changes for one or more markets. Receives notifications whenever the price changes for subscribed markets. Useful for monitoring market movements and price action.

Inputs: market_ids (required), callback_type.

subscribe_market_resolutionA

Subscribe to market resolution alerts. Receives notifications when specified markets are resolved (closed with final outcome). Useful for tracking when bets settle and positions can be claimed.

Inputs: market_ids (required), callback_type.

subscribe_orderbook_updatesA

Subscribe to real-time orderbook updates for one or more tokens. Receives notifications with aggregated bid/ask levels whenever the orderbook changes. Useful for monitoring liquidity and best bid/ask prices.

Inputs: token_ids (required), depth, callback_type.

subscribe_user_ordersB

Subscribe to real-time updates for user's orders. Receives notifications when orders are created, filled, partially filled, or cancelled. Requires CLOB authentication. Optionally filter by specific markets.

Inputs: market_ids, callback_type.

subscribe_user_tradesA

Subscribe to real-time updates for user's trades. Receives notifications when orders are matched and trades execute. Requires CLOB authentication. Optionally filter by specific markets.

Inputs: market_ids, callback_type.

unsubscribe_realtimeA

Unsubscribe from a real-time data feed. Removes a subscription by ID (obtained from subscribe_* tools). Stops receiving updates for that subscription.

Inputs: subscription_id (required).

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    B3.2/5.0

    Scored across 25 tools

    Disambiguation3/5

    Core market data tools are distinct, but the many market discovery variants (search_markets, get_trending_markets, filter_markets_by_category, get_featured_markets, get_closing_soon_markets, get_sports_markets, get_crypto_markets) overlap in purpose and can be hard to choose between. The subscription tools are clearly separated, but the listing surface creates real ambiguity.

    Naming Consistency4/5

    Tool names mostly follow a readable verb_noun snake_case pattern (get_market_details, subscribe_orderbook_updates, unsubscribe_realtime). The main deviation is the mix of generic action verbs like search, compare, analyze, and filter, but the overall pattern remains predictable.

    Tool Count3/5

    At 25 tools, the server sits at the heavy end and includes many narrow market query variants that could be consolidated into a more compact surface. The count is not unreasonable for a market data and subscription server, but it feels larger than necessary.

    Completeness2/5

    The server provides strong coverage of market discovery, pricing, order books, and real-time subscriptions, but it completely lacks trade execution tools such as place order, cancel order, or position management. This is a major gap for a Polymarket server, especially since user order/trade subscriptions require authentication.

    Maintenance

    ActivitySlowing
    ResponsivenessUsually handled

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      A
      quality
      D
      maintenance
      Trade, analyze, and automate Polymarket prediction markets via AI. 34 tools for direct trading, smart money flow, copy trading, backtest, and portfolio management.
      48
      197 npm
      19
      MIT
    • A
      license
      B
      quality
      D
      maintenance
      Enables LLM agents to interact with Polymarket prediction markets, including market discovery, real-time pricing, analytics, account management, and trading with built-in safety guards.
      34
      MIT