{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github_mcp-caiovicentino-polymarket-mcp-server","slug":"mcp-caiovicentino-polymarket-mcp-server","name":"polymarket-mcp-server","type":"mcp","url":"https://github.com/caiovicentino/polymarket-mcp-server","page_url":"https://unfragile.ai/mcp-caiovicentino-polymarket-mcp-server","categories":["mcp-servers"],"tags":["ai-trading","anthropic","autonomous-trading","blockchain","claude","defi","market-analysis","mcp","polygon","polymarket","prediction-markets","python","trading","websocket"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github_mcp-caiovicentino-polymarket-mcp-server__cap_0","uri":"capability://tool.use.integration.mcp.protocol.bridging.for.claude.desktop.market.interaction","name":"mcp protocol bridging for claude desktop market interaction","description":"Implements the Model Context Protocol 1.0 specification to expose Polymarket trading capabilities as tools callable from Claude Desktop. The server.py module handles list_tools(), call_tool(), list_resources(), and read_resource() MCP handlers, translating natural language requests from Claude into structured API calls to Polymarket's CLOB and Gamma APIs. This enables seamless integration where Claude can discover available tools and execute trading operations with full context awareness.","intents":["Enable Claude to understand what trading operations are available on Polymarket","Allow Claude to execute trading commands expressed in natural language","Provide Claude with real-time market data and portfolio state as resources","Maintain bidirectional communication between Claude and Polymarket services"],"best_for":["AI agent developers building autonomous trading systems","Teams integrating Claude with DeFi protocols","Enterprises deploying AI-driven prediction market strategies"],"limitations":["MCP 1.0 specification limits tool discovery to initial handshake — dynamic tool registration changes require server restart","Context window constraints mean large market datasets must be paginated or summarized before sending to Claude","No built-in request queuing — high-frequency tool calls from Claude may exceed Polymarket API rate limits"],"requires":["Claude Desktop 0.1.0+ with MCP support enabled","Python 3.10+","Polymarket API credentials (CLOB and Gamma endpoints)","MCP client configuration in Claude Desktop settings"],"input_types":["natural language queries from Claude","structured tool parameters (market IDs, order amounts, token types)"],"output_types":["tool definitions (name, description, input schema)","structured JSON responses from API calls","resource manifests (market data, portfolio state)"],"categories":["tool-use-integration","ai-trading"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-caiovicentino-polymarket-mcp-server__cap_1","uri":"capability://safety.moderation.dual.layer.authentication.with.eip.712.wallet.signing","name":"dual-layer authentication with eip-712 wallet signing","description":"Implements a two-stage authentication system where the PolymarketClient class manages both L1 wallet authentication (via EIP-712 message signing) and L2 API key credentials for Polygon-based Polymarket access. The system uses cryptographic signing to prove wallet ownership without exposing private keys, then exchanges signed proofs for API tokens that authorize subsequent CLOB and Gamma API calls. This architecture separates identity verification (wallet) from access control (API keys), enabling secure delegation of trading authority.","intents":["Prove ownership of a Polygon wallet without exposing private keys","Obtain API credentials that authorize trading on behalf of the wallet","Rotate or revoke API access without changing wallet keys","Support multi-signature or delegated trading scenarios"],"best_for":["DeFi traders requiring non-custodial wallet integration","Teams deploying trading bots with separated key management","Enterprises needing audit trails of who authorized which trades"],"limitations":["EIP-712 signing requires access to wallet private keys or hardware wallet integration — cannot be fully air-gapped","API key rotation requires manual re-authentication — no automatic refresh token mechanism","L1 wallet authentication adds ~500ms latency per session initialization due to signing operations"],"requires":["Polygon wallet with sufficient MATIC for gas fees","Private key or hardware wallet (Ledger, Trezor) for EIP-712 signing","Polymarket API credentials (client ID and secret)","ethers.py or web3.py library for signature generation"],"input_types":["wallet address (string)","private key or hardware wallet connection","API credentials (client ID, secret)"],"output_types":["signed EIP-712 message (hex string)","API access token (JWT or bearer token)","authentication session state"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-caiovicentino-polymarket-mcp-server__cap_10","uri":"capability://automation.workflow.docker.and.kubernetes.deployment.with.containerized.execution","name":"docker and kubernetes deployment with containerized execution","description":"The project provides Dockerfile and Kubernetes manifests for containerized deployment of the MCP server. Docker packaging includes all dependencies and the Python runtime, enabling consistent execution across environments. Kubernetes manifests define Deployment, Service, and ConfigMap resources for orchestrated scaling and management. The deployment supports environment variable injection for configuration, persistent volume mounts for state, and health checks for availability monitoring.","intents":["Deploy the MCP server in containerized environments (Docker, Kubernetes)","Scale the server horizontally across multiple replicas","Manage configuration and secrets through Kubernetes ConfigMaps and Secrets","Monitor server health and automatically restart failed instances"],"best_for":["Teams deploying to Kubernetes clusters","Enterprises requiring containerized, scalable trading infrastructure","DevOps teams managing multi-environment deployments"],"limitations":["Each container instance has independent in-memory state — WebSocket connections and price history are not shared across replicas","Horizontal scaling requires external state management (Redis, PostgreSQL) for shared portfolio and position data","Kubernetes manifests are templates — require customization for specific cluster configurations (ingress, storage classes, resource limits)","No built-in service mesh integration — inter-service communication must be configured separately"],"requires":["Docker runtime (Docker Desktop, Docker Engine, or container runtime)","Kubernetes cluster (1.20+) for Kubernetes deployment","Container registry for storing images","Persistent volume provisioner (for state storage if needed)"],"input_types":["Dockerfile (for building images)","Kubernetes manifests (YAML)","environment variables (for configuration)"],"output_types":["Docker image (ready for registry push)","Kubernetes Deployment with running pods","Service endpoint for Claude Desktop connection"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-caiovicentino-polymarket-mcp-server__cap_11","uri":"capability://automation.workflow.web.dashboard.for.server.monitoring.and.configuration","name":"web dashboard for server monitoring and configuration","description":"The project includes a web dashboard (likely FastAPI-based) that provides real-time monitoring of server health, active connections, tool usage statistics, and configuration status. The dashboard exposes endpoints for viewing current portfolio state, recent trades, and system logs. This enables operators to monitor the MCP server without direct access to logs or metrics systems, and provides a visual interface for understanding server behavior.","intents":["Monitor MCP server health and connection status in real-time","View server statistics (tool calls, errors, latency)","Access current portfolio and position data through a web interface","Review recent trades and execution history"],"best_for":["Operations teams monitoring deployed MCP servers","Traders wanting a visual interface to portfolio state","Teams debugging server issues or performance problems"],"limitations":["Dashboard is read-only for most metrics — cannot execute trades or change configuration through the web interface","Real-time updates require WebSocket or polling — may lag actual server state by 1-5 seconds","Dashboard authentication is not mentioned — may require additional security configuration","No historical data retention — metrics are in-memory and lost on server restart"],"requires":["Web server running on the MCP server instance","Network access to the dashboard port (typically 8080 or 8000)","Browser for accessing the dashboard"],"input_types":["HTTP requests to dashboard endpoints"],"output_types":["HTML dashboard with real-time metrics","JSON API endpoints for programmatic access","server logs and event streams"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-caiovicentino-polymarket-mcp-server__cap_12","uri":"capability://automation.workflow.comprehensive.testing.suite.with.unit.and.integration.tests","name":"comprehensive testing suite with unit and integration tests","description":"The project includes a testing framework (likely pytest-based) with unit tests for individual components (config, safety limits, client authentication) and integration tests for end-to-end workflows (market discovery, order execution, portfolio tracking). Tests use mocking for external API calls to enable fast, deterministic execution without hitting live Polymarket endpoints. The CI/CD pipeline runs tests on every commit to ensure code quality and prevent regressions.","intents":["Verify that individual components work correctly in isolation","Test end-to-end trading workflows without hitting live markets","Catch regressions before deploying to production","Enable developers to refactor code with confidence"],"best_for":["Development teams maintaining the MCP server codebase","Teams deploying custom modifications or extensions","Enterprises requiring test coverage for compliance"],"limitations":["Mocked tests do not catch issues with actual Polymarket API behavior — integration tests with live API are needed for full validation","Test coverage may not include edge cases or error scenarios — additional manual testing recommended","Tests are synchronous — do not fully exercise async/await patterns under load","No performance benchmarks — tests verify correctness but not latency or throughput"],"requires":["pytest framework","Python 3.10+","Mock/patch libraries for API mocking"],"input_types":["test cases (Python functions)","mock API responses"],"output_types":["test results (pass/fail)","coverage reports","CI/CD pipeline status"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-caiovicentino-polymarket-mcp-server__cap_13","uri":"capability://automation.workflow.ci.cd.pipeline.with.automated.testing.and.deployment","name":"ci/cd pipeline with automated testing and deployment","description":"The project includes a CI/CD pipeline (likely GitHub Actions) that automatically runs tests, linting, and type checking on every commit and pull request. The pipeline builds Docker images, runs integration tests, and optionally deploys to staging or production environments. This ensures code quality standards are maintained and enables rapid, safe deployment of changes.","intents":["Automatically verify code quality before merging pull requests","Build and test Docker images in CI environment","Deploy changes to staging or production automatically","Maintain consistent code standards across the codebase"],"best_for":["Teams using GitHub for version control","Projects requiring automated testing and deployment","Enterprises with strict code quality requirements"],"limitations":["CI/CD pipeline is GitHub Actions-specific — requires migration for other platforms","Deployment requires manual approval or additional configuration — not fully automated by default","Pipeline configuration is in YAML — requires familiarity with GitHub Actions syntax","No built-in rollback mechanism — failed deployments require manual intervention"],"requires":["GitHub repository","GitHub Actions enabled","Docker registry credentials (for image push)","Deployment credentials (for staging/production)"],"input_types":["Git commits and pull requests","code changes"],"output_types":["test results and coverage reports","Docker images pushed to registry","deployment status and logs"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-caiovicentino-polymarket-mcp-server__cap_2","uri":"capability://safety.moderation.multi.stage.safety.validation.pipeline.for.trading.operations","name":"multi-stage safety validation pipeline for trading operations","description":"The SafetyLimits class implements a configurable validation pipeline that intercepts all trading tool calls before execution, checking against position limits, order size caps, daily loss thresholds, and market-specific restrictions. Each trading operation (buy, sell, cancel) passes through sequential validation stages: amount validation, wallet balance verification, portfolio exposure checks, and market liquidity assessment. Failed validations return detailed error messages to Claude without executing the trade, enabling safe autonomous trading with human-defined guardrails.","intents":["Prevent accidental or malicious large trades that exceed configured limits","Enforce daily loss limits to protect capital from catastrophic drawdowns","Validate sufficient wallet balance before submitting orders to Polymarket","Block trades in illiquid markets or against specific market restrictions"],"best_for":["Teams deploying autonomous trading agents with capital constraints","Risk managers implementing position limits across multiple traders","Enterprises requiring audit-compliant trading with documented guardrails"],"limitations":["Validation adds ~50-100ms latency per trade due to sequential checks — not suitable for high-frequency trading","Limits are static per configuration — no dynamic adjustment based on market volatility or portfolio performance","No cross-market position aggregation — limits apply per market, not across correlated markets","Balance checks are point-in-time snapshots — race conditions possible if multiple concurrent orders execute"],"requires":["Configuration file with SafetyLimits parameters (max order size, daily loss limit, position caps)","Real-time wallet balance data from Polymarket API","Market metadata (liquidity, spread, trading volume)"],"input_types":["trading operation (buy/sell/cancel with amount, market ID, token type)","current portfolio state (positions, balances)","market data (liquidity, spreads)"],"output_types":["validation result (pass/fail)","detailed error message if validation fails","approved order parameters if validation passes"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-caiovicentino-polymarket-mcp-server__cap_3","uri":"capability://search.retrieval.market.discovery.and.filtering.with.keyword.and.category.search","name":"market discovery and filtering with keyword and category search","description":"The market_discovery.py module provides 8 tools that query Polymarket's Gamma API to search, filter, and rank markets by keywords, categories, trending status, and liquidity metrics. Tools use full-text search on market titles and descriptions, category-based filtering (politics, sports, crypto, etc.), and sorting by volume, spread, or recency. Results are paginated and include market metadata (ID, question, current odds, liquidity, volume) enabling Claude to identify relevant prediction markets for analysis or trading.","intents":["Find prediction markets related to a specific topic or keyword","Discover trending or high-volume markets for analysis","Filter markets by category to focus on specific domains","Get market metadata needed for subsequent analysis or trading"],"best_for":["Traders exploring Polymarket for new opportunities","Analysts building market watchlists programmatically","Bots that need to discover markets matching specific criteria"],"limitations":["Search is limited to Gamma API's indexing — newly created markets may not appear for 5-10 minutes","Keyword search does not support boolean operators or regex — only simple substring matching","Category taxonomy is fixed by Polymarket — cannot create custom categories","Results are limited to 100 markets per query — large result sets must be paginated"],"requires":["Polymarket Gamma API endpoint access","No authentication required for read-only discovery tools"],"input_types":["search query (string)","category filter (string)","sort order (volume, spread, recency)","pagination parameters (limit, offset)"],"output_types":["market list with metadata (ID, question, odds, liquidity, volume)","market count and pagination info"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-caiovicentino-polymarket-mcp-server__cap_4","uri":"capability://data.processing.analysis.real.time.market.analysis.with.price.spread.and.liquidity.metrics","name":"real-time market analysis with price, spread, and liquidity metrics","description":"The market_analysis.py module provides 10 tools that compute and expose market microstructure metrics including bid-ask spreads, order book depth, trading volume, price history, and AI-generated market recommendations. Tools fetch real-time data from Polymarket's CLOB API and WebSocket feeds, calculate derived metrics (spread percentage, liquidity depth at price levels), and format results for Claude interpretation. This enables Claude to assess market quality, identify arbitrage opportunities, and make informed trading decisions based on quantitative analysis.","intents":["Assess market liquidity and trading costs before placing orders","Identify wide spreads that may indicate mispricing or low liquidity","Analyze price trends and volatility to inform trading strategy","Get AI-generated market recommendations based on quantitative signals"],"best_for":["Quantitative traders analyzing market microstructure","Risk managers assessing execution costs and slippage","Algorithmic trading systems that need real-time market data"],"limitations":["WebSocket data has ~100-500ms latency — not suitable for sub-second trading strategies","Spread calculations are point-in-time snapshots — do not account for order book dynamics during execution","AI recommendations are based on historical patterns — may not adapt to regime changes or black swan events","Order book depth is limited to top 20 levels — deep liquidity analysis requires additional API calls"],"requires":["Polymarket CLOB API endpoint access","WebSocket connection to Polymarket price feeds","Market ID for the market being analyzed"],"input_types":["market ID (string)","time window for analysis (e.g., last 24 hours)","price level for depth analysis (optional)"],"output_types":["bid-ask spread (percentage and absolute)","order book depth (liquidity at price levels)","trading volume and price history","AI recommendation (buy/sell/hold with confidence score)"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-caiovicentino-polymarket-mcp-server__cap_5","uri":"capability://automation.workflow.limit.and.market.order.execution.with.position.management","name":"limit and market order execution with position management","description":"The trading_tools.py module provides 12 tools for executing limit orders, market orders, and managing positions on Polymarket. Tools construct order objects with specified amount, price, and token type (YES/NO), submit them to the CLOB API, and return order IDs and execution status. The system supports order cancellation, position closing, and batch operations. All trading operations pass through the SafetyLimits validation pipeline before submission, ensuring compliance with configured risk limits.","intents":["Execute limit orders at specific price levels to accumulate positions","Execute market orders for immediate execution at current market prices","Close or reduce existing positions to lock in profits or cut losses","Cancel pending orders that are no longer desired"],"best_for":["Autonomous trading agents that need to execute orders based on Claude's analysis","Traders using Claude as a trading copilot for order execution","Algorithmic systems that need to manage positions programmatically"],"limitations":["Limit orders may not fill if market price does not reach specified level — no guaranteed execution","Market orders incur slippage due to bid-ask spread — execution price may differ from quoted price","Order cancellation is not atomic — race conditions possible if order fills between cancellation request and execution","No support for conditional orders (e.g., stop-loss, take-profit) — must be implemented at application layer","Position management is per-market — no cross-market hedging or correlation-aware position sizing"],"requires":["Authenticated Polymarket API session (via EIP-712 wallet signing)","Sufficient wallet balance to cover order amount","Market ID and valid token type (YES or NO)","Price level for limit orders (market orders use current market price)"],"input_types":["order type (limit or market)","market ID (string)","token type (YES or NO)","amount (USDC)","price (for limit orders, 0-1 decimal)"],"output_types":["order ID (string)","execution status (pending, filled, partial, cancelled)","filled amount and average execution price","order confirmation with timestamp"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-caiovicentino-polymarket-mcp-server__cap_6","uri":"capability://data.processing.analysis.portfolio.state.tracking.and.position.aggregation","name":"portfolio state tracking and position aggregation","description":"The portfolio management tools aggregate user positions across all Polymarket markets, calculating total exposure, unrealized P&L, and portfolio composition. The system queries the CLOB API for all open positions associated with the authenticated wallet, computes metrics like position size, entry price, current market price, and profit/loss per position. Results are formatted as structured data that Claude can interpret to make portfolio-level decisions (rebalancing, risk reduction, profit-taking).","intents":["View all open positions across Polymarket markets in one place","Calculate total portfolio exposure and unrealized profit/loss","Identify concentrated positions that exceed risk limits","Make portfolio-level decisions based on aggregate metrics"],"best_for":["Portfolio managers monitoring multi-market exposure","Traders using Claude to analyze portfolio composition","Risk systems that need real-time portfolio snapshots"],"limitations":["Portfolio state is point-in-time snapshot — does not reflect pending orders or in-flight transactions","P&L calculations assume entry price from order history — may be inaccurate if positions were transferred or inherited","No support for portfolio-level hedging or correlation analysis — metrics are per-market only","Large portfolios (>1000 positions) may require multiple API calls due to pagination limits"],"requires":["Authenticated Polymarket API session","Wallet address with open positions"],"input_types":["wallet address (optional, defaults to authenticated wallet)"],"output_types":["position list with market ID, token type, amount, entry price, current price","portfolio summary (total exposure, unrealized P&L, position count)","per-position metrics (profit/loss, percentage return, market share)"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-caiovicentino-polymarket-mcp-server__cap_7","uri":"capability://automation.workflow.real.time.market.monitoring.with.websocket.price.feeds","name":"real-time market monitoring with websocket price feeds","description":"The real-time monitoring tools establish persistent WebSocket connections to Polymarket's price feeds, streaming live updates for bid, ask, and last-trade prices for subscribed markets. The system maintains in-memory state of price history and order book snapshots, enabling Claude to monitor market movements and trigger alerts or trading actions based on price thresholds. WebSocket data is buffered and deduplicated to handle network jitter and ensure data consistency.","intents":["Monitor live price movements for markets of interest","Trigger trading actions when prices reach specific thresholds","Detect market anomalies or unusual trading activity","Maintain real-time order book state for execution planning"],"best_for":["Algorithmic traders that need sub-second price updates","Risk systems monitoring for market dislocations","Trading bots that execute based on price thresholds"],"limitations":["WebSocket latency is ~100-500ms — not suitable for ultra-high-frequency trading","In-memory price history is lost on server restart — no persistent data store","Subscription management is manual — no automatic re-subscription on connection loss","Price updates are best-effort — no guaranteed delivery or ordering guarantees","Order book snapshots are eventually consistent — may lag actual market state by 100-500ms"],"requires":["Polymarket WebSocket endpoint access","Network connectivity with low latency to Polymarket infrastructure","Market IDs to subscribe to"],"input_types":["market ID list (markets to monitor)","price threshold (optional, for alerts)"],"output_types":["real-time price updates (bid, ask, last trade)","order book snapshots (top levels)","price history (last N updates)","alert notifications when thresholds are breached"],"categories":["automation-workflow","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-caiovicentino-polymarket-mcp-server__cap_8","uri":"capability://tool.use.integration.demo.mode.with.read.only.market.discovery.and.analysis","name":"demo mode with read-only market discovery and analysis","description":"The server supports a DEMO operational mode that exposes 25 read-only tools (all market discovery and market analysis tools) without requiring wallet authentication or API credentials. DEMO mode allows users to explore Polymarket, analyze markets, and understand the system's capabilities before committing to full authentication. This is implemented through conditional tool registration in the MCP server based on the operational mode configuration.","intents":["Allow new users to explore Polymarket without authentication setup","Enable market research and analysis without trading capability","Provide a safe sandbox for testing Claude's market analysis capabilities","Reduce friction for onboarding new traders"],"best_for":["New users evaluating Polymarket and the MCP server","Researchers analyzing prediction markets without trading intent","Teams testing Claude integration before deploying to production"],"limitations":["DEMO mode has no access to portfolio or position data — cannot analyze personal holdings","No trading capability — cannot execute orders or manage positions","Market data is read-only and may be slightly stale (5-10 minute delay)","No persistent state — each session starts fresh without history"],"requires":["No authentication or API credentials required","Configuration file with mode set to DEMO"],"input_types":["search queries and analysis parameters (same as FULL mode)"],"output_types":["market discovery results","market analysis metrics","no portfolio or trading data"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-caiovicentino-polymarket-mcp-server__cap_9","uri":"capability://automation.workflow.configuration.management.with.environment.based.settings","name":"configuration management with environment-based settings","description":"The config.py module implements a PolymarketConfig Pydantic model that loads configuration from environment variables, YAML files, or Python dicts. Configuration includes operational mode (DEMO/FULL), API credentials, wallet settings, safety limits, and deployment parameters. The load_config() function handles configuration precedence (environment > file > defaults) and validates all settings at load time using Pydantic's type checking and custom validators.","intents":["Configure the server for different deployment environments (dev, staging, production)","Manage API credentials and wallet settings securely","Set safety limits and risk parameters without code changes","Support multiple deployment modes (local, Docker, Kubernetes) with different configurations"],"best_for":["DevOps teams deploying the server across environments","Teams managing multiple trading instances with different risk profiles","Enterprises requiring audit-compliant configuration management"],"limitations":["Configuration is static at startup — changes require server restart","No built-in secrets management — API credentials must be provided via environment variables or secure vaults","Validation is at load time only — invalid configurations are caught at startup, not runtime","No configuration versioning or rollback — changes are immediate and permanent"],"requires":["Python 3.10+","Pydantic library","Environment variables or configuration file (YAML/JSON)"],"input_types":["environment variables (e.g., POLYMARKET_MODE=FULL)","YAML configuration file","Python dict"],"output_types":["PolymarketConfig object with validated settings","validation errors if configuration is invalid"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":45,"verified":false,"data_access_risk":"high","permissions":["Claude Desktop 0.1.0+ with MCP support enabled","Python 3.10+","Polymarket API credentials (CLOB and Gamma endpoints)","MCP client configuration in Claude Desktop settings","Polygon wallet with sufficient MATIC for gas fees","Private key or hardware wallet (Ledger, Trezor) for EIP-712 signing","Polymarket API credentials (client ID and secret)","ethers.py or web3.py library for signature generation","Docker runtime (Docker Desktop, Docker Engine, or container runtime)","Kubernetes cluster (1.20+) for Kubernetes deployment"],"failure_modes":["MCP 1.0 specification limits tool discovery to initial handshake — dynamic tool registration changes require server restart","Context window constraints mean large market datasets must be paginated or summarized before sending to Claude","No built-in request queuing — high-frequency tool calls from Claude may exceed Polymarket API rate limits","EIP-712 signing requires access to wallet private keys or hardware wallet integration — cannot be fully air-gapped","API key rotation requires manual re-authentication — no automatic refresh token mechanism","L1 wallet authentication adds ~500ms latency per session initialization due to signing operations","Each container instance has independent in-memory state — WebSocket connections and price history are not shared across replicas","Horizontal scaling requires external state management (Redis, PostgreSQL) for shared portfolio and position data","Kubernetes manifests are templates — require customization for specific cluster configurations (ingress, storage classes, resource limits)","No built-in service mesh integration — inter-service communication must be configured separately","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36947514892176503,"quality":0.5,"ecosystem":0.6000000000000001,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:22.064Z","last_scraped_at":"2026-05-03T14:23:44.761Z","last_commit":"2026-04-30T20:19:32Z"},"community":{"stars":458,"forks":105,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=mcp-caiovicentino-polymarket-mcp-server","compare_url":"https://unfragile.ai/compare?artifact=mcp-caiovicentino-polymarket-mcp-server"}},"signature":"vlLT3EaR7/S1ECW88Ose8g0tn8m0xdC/tuoxJIjr34Cp4Dzt7XcbgQEYGzAy55P/0w+VjNc6qGrwItgX4X9ABQ==","signedAt":"2026-06-21T20:16:24.320Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/mcp-caiovicentino-polymarket-mcp-server","artifact":"https://unfragile.ai/mcp-caiovicentino-polymarket-mcp-server","verify":"https://unfragile.ai/api/v1/verify?slug=mcp-caiovicentino-polymarket-mcp-server","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}