What does the 0xMONK MCP Server do?
It provides tools for AI assistants to interact with the 0xMONK Trading Agent API, allowing them to manage agents, execute trades, and monitor portfolios.
@fere-ai
基本信息
FereAI's MCP Server - The most powerful Crypto MCP Server.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-server-fere-ai": {
"command": "uv",
"args": [
"venv"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
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。
The 0xMONK MCP Server is a Model Context Protocol (MCP) server that provides a suite of tools for AI assistants to interact with the 0xMONK Trading Agent API. It enables AI assistants to manage trading agents, execute trades, and monitor portfolios.
Clone the repository, install uv, create a virtual environment, and install dependencies from requirements.txt. Configure a .env file with your FereAI API key, then run the server with uv run main.py.
It provides tools for AI assistants to interact with the 0xMONK Trading Agent API, allowing them to manage agents, execute trades, and monitor portfolios.
Clone the repository, install uv, set up a virtual environment, install dependencies, and configure your FereAI API key in the `.env` file. Then run `uv run main.py`.
Python, uv, and the packages listed in `requirements.txt`. A FereAI API key is required for authentication.
Obtain a FereAI Key from the official documentation at docs.fereai.xyz and set it in the `.env` file using the provided `.env.example` as a template.
Yes, it provides execute buy and sell order tools for tokens, along with functionality to get buy recommendations and synchronize agent state with blockchain.
🚀 The fast, Pythonic way to build MCP servers and clients.
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context
不止于 CSS

B2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.
评论