0xmonk
MCP Management Tool for Trading Agent API
Install & Use
Copy this prompt and send it to your AI assistant (Claude / Cursor / TRAE / Codex / WorkBuddy etc.) to auto-install:
Help me install this AI Skill: 0xmonk. It is used for: MCP Management Tool for Trading Agent API Full Skill content: https://321skill.com/skills/0xmonk/raw/index.md Read that page and install it.
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This Skill addresses the issues of scattered API calls and cumbersome management for trading agents. In practical development, quantitative traders or backend developers frequently need to interact with the 0xMONK Trading Agent API to perform operations such as creating agents, executing buy/sell orders, and monitoring positions. However, manually constructing HTTP requests is inefficient and error-prone.
Usage is straightforward: you only need to configure your API key and start the MCP server, after which you can manage trading agents using natural language commands. For example, you can simply say, "Create a new agent to buy 1 ETH with USDT," and it will automatically call the API to create the agent and place the order. You can also query agent positions, synchronize blockchain status, retrieve trading history, and more.
It is particularly suitable for quantitative teams or individuals who need to manage trading agents at high frequency. This is especially true for developers already using AI coding assistants like Claude or Cursor, who wish to operate their trading systems quickly via natural language. For users managing multiple agents simultaneously or monitoring portfolios, this tool can significantly boost efficiency.
It is recommended to use this tool uniformly for agent management in development or live trading environments. Note that it primarily relies on the 0xMONK API, so you must first apply for an API key and configure the environment variables. Currently, it only supports Python environments, uses uv for dependency management, and does not yet offer a Docker image or web interface.
Key Features
Compared to directly calling the 0xMONK REST API, this tool encapsulates the API via the MCP protocol into a natural language-invocable tool. Developers do not need to memorize interface details; they can simply describe their intent in everyday language to perform operations like creating agents, executing trades, and querying positions. In contrast, other similar tools (e.g., TradingView Webhooks) typically only support specific trading actions and lack comprehensive lifecycle management for agents.
Limitations
Requires Python 3.10+ environment, depends on the `uv` package manager, and must possess a valid 0xMONK API key to function. It does not offer offline or paper trading modes.
FAQ
How do I obtain a 0xMONK API key?
Visit https://docs.fereai.xyz/docs/api/api_access to apply for access, then configure it in the `FEREAI_KEY` field of your .env file.
Which trading pairs are supported?
The specific trading pairs supported depend on the offerings of the 0xMONK API, generally covering major cryptocurrencies like BTC/USDT, ETH/USDT, etc. You can check the API documentation or use the `get_recommendations` tool to find out.
Installation guide for AI assistants
If your AI coding assistant (Claude Code, Cursor, TRAE etc.) can see this page, send it this message to auto-install:
Visit https://321skill.com/skills/0xmonk/raw/index.md to read the original Skill definition (Markdown format) for 0xmonk, and install it according to the instructions.
Raw Markdown URL for AI: /skills/0xmonk/raw/index.md