0xMONK MCP Server
FereAI's MCP Server - The most powerful Crypto MCP Server.
fere-ai
README
0xMONK MCP Server
A Model Conntext Protocol (MCP) server for interacting with the 0xMONK Trading Agent API.
Overview
This project provides a suite of tools for AI assistants to interact with the 0xMONK API, allowing them to manage trading agents, execute trades, and monitor portfolios.
Features
-
Agent Management
- Create, update, and delete trading agents
- View agent details and get all available agents
- Add or remove parent agents (for inheritance)
- Get agents by user ID or Telegram user ID
-
Trading Operations
- Execute buy and sell orders for tokens
- Get buy recommendations for agents
- Synchronize agent state with blockchain
- Monitor task status
-
Portfolio Management
- Monitor agent portfolios, holdings, and trade history
- Access trading decisions and calls made by agents
- Get wallet details for agents and Telegram users
Installation
-
Clone the repository:
git clone https://github.com/your-username/FereAI-MCP.git cd FereAI-MCP
-
Install uv:
curl -LsSf https://astral.sh/uv/install.sh | sh
-
Create a virtual environment and install dependencies:
uv venv source .venv/bin/activate # On Windows: .venv\Scripts\activate uv pip install -r requirements.txt
-
Configure environment variables:
cp .env.example .env # Edit .env with your configuration
Usage
Run the MCP server:
uv run main.py
Project Structure
FereAI-MCP/
├── .env # Environment variables
├── .env.example # Example environment variables
├── .gitignore # Git ignore file
├── main.py # Server entry point
├── monk.json # API specification
├── pyproject.toml # Python project configuration
├── README.md # This file
├── requirements.txt # Python dependencies
└── src/ # Source code
├── agent.py # Agent-related API functions
├── config.py # Configuration module
├── main.py # MCP server implementation
└── utils.py # Utility functions
API Documentation
For more information about the 0xMONK API, refer to the monk.json file or visit the official documentation.
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
MCP Package Docs Server
Facilitates LLMs to efficiently access and fetch structured documentation for packages in Go, Python, and NPM, enhancing software development with multi-language support and performance optimization.
Claude Code MCP
An implementation of Claude Code as a Model Context Protocol server that enables using Claude's software engineering capabilities (code generation, editing, reviewing, and file operations) through the standardized MCP interface.
@kazuph/mcp-taskmanager
Model Context Protocol server for Task Management. This allows Claude Desktop (or any MCP client) to manage and execute tasks in a queue-based system.
Linear MCP Server
Enables interaction with Linear's API for managing issues, teams, and projects programmatically through the Model Context Protocol.
mermaid-mcp-server
A Model Context Protocol (MCP) server that converts Mermaid diagrams to PNG images.
Jira-Context-MCP
MCP server to provide Jira Tickets information to AI coding agents like Cursor

Linear MCP Server
A Model Context Protocol server that integrates with Linear's issue tracking system, allowing LLMs to create, update, search, and comment on Linear issues through natural language interactions.

Sequential Thinking MCP Server
This server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.