Sponsored by Deepsite.site

Teardrop

创建者
teardrop-ai4 months ago
Teardrop is the native financial infrastructure layer built specifically for autonomous economic agents. It equips AI agents with Web3 capabilities, secure wallets, real-time market data access, and an audited on-chain billing/payment protocol. By exposing a highly curated suite of 25 enterprise-ready Web3 and utility tools via MCP, Teardrop enables LLM-driven agents to independently execute mathematical operations, fetch multi-chain balances, evaluate DeFi lending rates, and transact autonomously without human-in-the-loop intervention. ### Key Capabilities Included: - **Wallet & Portfolio Management:** Native integrations to resolve ENS addresses, fetch multi-chain ERC-20 and native ETH balances, and retrieve consolidated wallet portfolios. - **DeFi & Market Intelligence:** Real-time data on gas prices, token prices, historical market values, cross-chain quote engines, historical DeFi yields, lending rates, and protocol TVL (powered by integrations like DeFiLlama and Dex price utilities). - **On-Chain Transaction Tools:** Safely read contract state, decode on-chain transactions, and verify token approvals. - **Agent-to-Agent (A2A) Commerce:** Built-in protocol-level delegation capabilities allowing agents to orchestrate other agents and settle micro-services using modern billing paradigms. - **Billed Execution Layer:** Backed by the open-source x402 on-chain payment scheme (EIP-3009/Permit2) for trustless machine-to-machine settlement.

服务器配置

{
  "mcpServers": {
    "teardrop": {
      "url": "https://api.teardrop.dev/tools/mcp"
    }
  }
}
推荐的 MCP Server
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
WindsurfThe new purpose-built IDE to harness magic
CursorThe AI Code Editor
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
RedisA Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.
Playwright McpPlaywright MCP server
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.
Serper MCP ServerA Serper MCP Server
Amap Maps高德地图官方 MCP Server
ChatWiseThe second fastest AI chatbot™
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题; Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
Y GuiA web-based graphical interface for AI chat interactions with support for multiple AI models and MCP (Model Context Protocol) servers.
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
DeepChatYour AI Partner on Desktop
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.
Tavily Mcp
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.