
Autoyield
@kaditang
关于 Autoyield
Non-custodial RWA + yield service for AI agents on Solana. Compare yields,
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"autoyield": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://autoyield-api.fly.dev/mcp",
"--header",
"Authorization: Bearer YOUR_API_KEY"
]
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is Autoyield?
Autoyield is a non‑custodial MCP server that gives AI agents on Solana the ability to find on‑chain yields, build buy/sell transactions for tokenized US treasuries and US equities, and track positions — without ever holding the user’s private keys. Every action returns an unsigned Solana transaction plus a one‑click Phantom sign URL.
How to use Autoyield?
Get an API key by signing in with Phantom at autoyield.org/account.html. Configure Claude Desktop with the npx mcp-remote command, passing your API key as a Bearer token header. Then ask Claude to compare yields or build a trade; Claude calls the Autoyield tools and returns a signable URL.
Key features of Autoyield
- Compare USDC yields across Solana, Ethereum, Base, and Arbitrum
- List tokenized treasuries like Ondo USDY (~4.6% APY)
- List Backed xStocks (NVDAx, AAPLx, TSLAx, SPYx) with live Jupiter liquidity
- Build unsigned deposit, buy, sell, and withdraw transactions
AI 与智能体 分类下的更多 MCP 服务器
Mcp Agent
lastmile-aiBuild effective agents using Model Context Protocol and simple workflow patterns
Just Prompt - A lightweight MCP server for LLM providers
dislerjust-prompt is an MCP server that provides a unified interface to top LLM providers (OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, and Ollama)
欢迎来到 智言平台
Shy2593666979AgentChat 是一个基于 LLM 的智能体交流平台,内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作,Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术,实现高效的知识检索与工具调用,使用 FastAPI 构建高性能后端服务。
1MCP - One MCP Server for All
1mcp-appA unified Model Context Protocol server implementation that aggregates multiple MCP servers into one.
Sequential Thinking Multi-Agent System (MAS)
FradSerAn advanced sequential thinking process using a Multi-Agent System (MAS) built with the Agno framework and served via MCP.
评论