0xMONK MCP Server

@fere-ai

Repository

Basic information

About 0xMONK MCP Server

FereAI's MCP Server - The most powerful Crypto MCP Server.

#python #crypto #mcp #mcp-server

0xMONK MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-server-fere-ai": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

0xMONK MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is 0xMONK MCP Server?

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.

How to use 0xMONK MCP Server?

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.

Key features of 0xMONK MCP Server

Create, update, delete, and view trading agents
Execute buy and sell orders for tokens
Monitor agent portfolios, holdings, and trade history
Query ProAgent for market information and real-time crypto prices
Synchronize agent state with blockchain

Use cases of 0xMONK MCP Server

An AI assistant creating and configuring trading agents for users
Automating buy/sell orders based on agent recommendations
Monitoring portfolio performance and trade history across agents
ProAgent providing real-time market insights and price data
Managing agent inheritance and parent-child relationships

Frequently asked questions

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.

How do I get started?

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`.

What are the dependencies?

Python, uv, and the packages listed in `requirements.txt`. A FereAI API key is required for authentication.

How do I configure 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.

Can the server execute live trades?

Yes, it provides execute buy and sell order tools for tokens, along with functionality to get buy recommendations and synchronize agent state with blockchain.

Comments

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