"Red Hat" matching MCP servers:

An MCP server that lets AI agents autonomously buy physical hats using USDC on Base — no credit card, no checkout, no human required. Browse the catalog, get a real-time shipping quote, send crypto, and we ship the hat.

Provides live on-chain rug-pull and honeypot risk screening for EVM and Solana tokens, returning computed red flags and raw GoPlus Security data for contract or mint addresses.

An MCP server that tracks the historical changes of Twitter usernames—frequent screen name changes in crypto projects can be a red flag for potential scam risks.

The first blockchain & cryptocurrency MCP server that connects AI agents to Ethereum, Solana, Bitcoin, and cryptocurrency markets.

FastMCP implementation providing API access to DefiLlama Pro, CoinGecko Pro, and Arkham Intelligence for crypto data retrieval without requiring users to manage individual API keys.

A read-only MCP server for Hyperliquid that provides public market data (prices, order books, funding) and any wallet's positions, orders, and fills via MCP tools, without requiring a private key.

Enables AI assistants to query a T-Bank (Tinkoff) investment account in read-only mode, covering accounts, portfolio and positions, operation history, instrument lookup, market data such as candles and order books, plus technical indicators, fundamentals, analyst consensus and dividend or bond coupon analytics through one-line tool calls. No tool can place trades, withdraw funds or change account settings, and a read-only API token is recommended.

Provides coding agents with 19 pay-per-call developer utilities, npm supply-chain security checks, and Base blockchain lookups, paid via USDC on Base using x402. No API key needed—payment acts as authentication.

Enables management of decentralized organizational roles and permissions through Hats Protocol across multiple blockchain networks. Supports creating hierarchical role structures, checking permissions, minting/transferring roles, and analyzing organizational structures through natural language.