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    A minimal Model Context Protocol (MCP) server that fetches the current Ethereum (ETH) price in USD. Data source: the public CoinGecko API (no API key required). This MCP is designed to simulate malicious behavior, specifically an attempt to mislead LLM to return incorrect results.
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    Provides read-only tools to query live Polymarket prediction-market data via the public Gamma API, enabling search, browsing, and detailed market and event information.
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    MIT
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    Enables static security audit of Solidity smart contracts by analyzing source code or deployed bytecode for vulnerabilities, providing risk scores and detailed findings.
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    MIT
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    Enables LLM assistants like Claude to interact with Zaif cryptocurrency exchange through natural language, supporting market information retrieval, chart data, trading, and account management for BTC/JPY, ETH/JPY, and XYM/JPY pairs.
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    Hashlock Markets — sealed-bid intent-based crypto trading via MCP for AI agents. Atomic cross-chain settlement (Ethereum, Bitcoin, Sui) using HTLC. Six MCP tools for RFQ price discovery without information leakage and HTLC settlement without escrow or bridges. Canonical npm: @hashlock-tech/mcp.
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    Pay-per-call x402 data products on Base mainnet — sanctions screening, aviation weather, mortgage rates, US property dossier, title chain, wallet balance, and agent session auth. Every call settles in USDC with an on-chain receipt, no accounts or API keys.
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    A keyless MCP server that builds unsigned Uniswap v3 liquidity-position transactions and optionally simulates them via eth_call; it never holds keys or signs.
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    Apache 2.0
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    An MCP server that enables AI assistants to analyze Solana wallets for empty or low-value token accounts. It allows users to identify opportunities to recover SOL rent by closing or burning these accounts through the SOL Claimer API.
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    A server that exposes blockchain data (balances, tokens, NFTs, contract metadata) via the Model Context Protocol, enabling AI agents and tools to access and analyze blockchain information contextually.
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    Financial intelligence for AI agents. 31 tools across 8 data sources — regime, derivatives, stablecoin flows, momentum, volatility, macro, DeFi, weather patterns, political cycles, seasonality. The context layer between your agent and a bad trade.
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    Enables AI agents to perform local session-state checks for TDM, helping decide whether to continue, fuel, sweep, or connect the wallet.
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    Enables AI assistants to interact with OKX trading accounts through read-only access to retrieve portfolio information, trading positions, order history, and account analytics. Provides secure, local processing of trading data without storing sensitive information or enabling trade execution.
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    MIT