graph-polymarket-mcp
MCP ServerFreeMCP server for querying Polymarket prediction market data via The Graph subgraphs. Exposes 9 tools that AI agents (Claude, Cursor, etc.) can use to query market data, trader P&L, positions, activity, and orderbook trades. Prerequisites You need a free Graph API key (takes ~2 minutes): Go to The G
Capabilities5 decomposed
market data querying via graph subgraphs
Medium confidenceThis capability allows AI agents to query Polymarket prediction market data by utilizing The Graph's subgraph architecture. It exposes a set of tools that leverage GraphQL to efficiently fetch structured data about markets, trader positions, and orderbook trades, ensuring that the data retrieval is optimized and scalable. The integration with The Graph enables real-time access to decentralized data without the need for complex backend infrastructure.
Utilizes The Graph's subgraph architecture to provide efficient, decentralized access to Polymarket data, avoiding traditional REST API limitations.
More efficient than REST APIs for querying decentralized data due to its use of GraphQL and subgraph indexing.
trader position and p&l retrieval
Medium confidenceThis capability enables AI agents to access detailed information about trader positions and their profit and loss (P&L) metrics. It leverages The Graph's indexing to provide quick responses to queries about individual trader performance, making it easy for agents to analyze and report on trader activities. The structured data returned allows for seamless integration into AI workflows for decision-making.
Offers real-time access to trader-specific metrics through optimized GraphQL queries, allowing for dynamic analysis.
Faster and more detailed than traditional APIs, as it provides direct access to indexed trader data.
orderbook trade history access
Medium confidenceThis capability allows AI agents to retrieve historical orderbook trades from Polymarket, providing insights into market dynamics and trader behaviors. By utilizing The Graph's efficient querying capabilities, it can fetch large datasets quickly, enabling agents to perform in-depth analyses of trading patterns over time. This capability is essential for building predictive models or conducting market research.
Utilizes The Graph's subgraph indexing to allow for efficient retrieval of extensive historical trade data, which is often cumbersome with traditional APIs.
More efficient for historical data retrieval compared to standard REST APIs due to its ability to handle large datasets with ease.
real-time market activity monitoring
Medium confidenceThis capability enables AI agents to monitor real-time market activity on Polymarket by querying live data through The Graph's subgraph endpoints. It provides updates on trades, positions, and market fluctuations, allowing agents to react promptly to changes in the market environment. The use of GraphQL allows for flexible and efficient data retrieval tailored to specific monitoring needs.
Employs GraphQL subscriptions for real-time data updates, which is more efficient than traditional polling methods.
Provides faster and more responsive updates compared to traditional REST APIs that rely on periodic polling.
multi-tool integration for ai agents
Medium confidenceThis capability allows AI agents to utilize multiple tools exposed by the MCP server to interact with Polymarket data seamlessly. By providing a unified interface for various functionalities, such as querying market data, retrieving trader information, and accessing orderbook trades, it simplifies the development process for AI applications. This integration is facilitated through a consistent API design that abstracts the complexity of multiple data sources.
Offers a cohesive API interface that simplifies the integration of multiple tools, reducing development overhead for AI agents.
More streamlined than using disparate APIs, allowing for easier management of complex data interactions.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Composer
AI-driven investing; no-code strategy creation, automated execution, community...
Best For
- ✓developers building AI agents that require real-time market data
- ✓data analysts and developers interested in trader performance metrics
- ✓quantitative analysts and developers building trading algorithms
- ✓traders and developers looking to build responsive trading systems
- ✓developers building comprehensive AI solutions that require diverse data interactions
Known Limitations
- ⚠Limited to 100,000 queries/month on the free tier of The Graph API
- ⚠Requires specific trader identifiers to retrieve data, which may not be universally available
- ⚠Data availability is subject to The Graph's indexing and may not cover all trades
- ⚠Real-time data may be limited by the frequency of queries allowed under the free tier
- ⚠Complexity may increase with the number of tools integrated, potentially leading to higher latency
Requirements
Input / Output
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About
MCP server for querying Polymarket prediction market data via The Graph subgraphs. Exposes 9 tools that AI agents (Claude, Cursor, etc.) can use to query market data, trader P&L, positions, activity, and orderbook trades. Prerequisites You need a free Graph API key (takes ~2 minutes): Go to The Graph Studio Connect your wallet (MetaMask, WalletConnect, etc.) Click "API Keys" in the sidebar and create one Free tier includes 100,000 queries/month
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