CCXT MCP Server
Description
# CCXT MCP Server [](https://smithery.ai/server/@jcwleo/ccxt-mcp-server) This project provides a Model Context Protocol (MCP) server that exposes various functions from the [CCXT](https://github.com/ccxt/ccxt)…
About
# CCXT MCP Server [](https://smithery.ai/server/@jcwleo/ccxt-mcp-server) This project provides a Model Context Protocol (MCP) server that exposes various functions from the [CCXT](https://github.com/ccxt/ccxt) library as tools for Large Language…
Details
- Author
- jcwleo
- GitHub stars
- 8
- Downloads
- 159
- Categories
- Other
Jump to
- Integrates CCXT for unified exchange interaction
- Asynchronous non‑blocking operations
- Clear tool definitions with type annotations
- API key authentication for private endpoints
- Public and private tool separation
- Includes technical indicator calculation tool
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
CCXT MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Clone the repository, create a virtual environment, install dependencies from requirements.txt, then run the server with uv run uvicorn mcp_server:app. Configure your MCP client (e.g., Claude desktop) with a JSON entry pointing to http://127.0.0.1:8000/mcp/ using npx mcp-remote.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"ccxt mcp server": {
"ccxt-mcp-server": {
"command": "python",
"args": [
"-m",
"venv",
".venv"
]
}
}
}
}McpServers
{
"ccxt-mcp-server": {
"command": "python",
"args": [
"-m",
"venv",
".venv"
]
}
}CCXT MCP Server
This project provides a Model Context Protocol (MCP) server that exposes various functions from the CCXT library as tools for Large Language Models (LLMs).
It allows LLMs to interact with cryptocurrency exchanges for tasks like fetching balances, market data, creating orders, and more, in a standardized and asynchronous way.
This server is built using FastMCP, which simplifies the process of creating MCP servers in Python.
Features
CCXT Integration: Wraps common CCXT functions for exchange interaction.
Asynchronous: Built using asyncio and ccxt.async_support for efficient non-blocking operations.
Clear Tool Definitions: Uses typing.Annotated and pydantic.Field for clear parameter descriptions and constraints, making it easier for LLMs (and developers) to understand and use the tools.
Authentication Handling: Supports API key, secret, and passphrase authentication for private endpoints.
Public & Private Tools: Provides separate tools for public market data and private account actions.
Installation
1. Clone the repository (if you haven't already):
git clone https://github.com/jcwleo/ccxt-mcp-server.git
cd ccxt-mcp-server
2. Create and activate a virtual environment (recommended):
python -m venv .venv
source .venv/bin/activate # On Windows use .venv\Scripts\activate
3. Install dependencies:
The required libraries are listed in requirements.txt. You can install them using pip or uv.
Using pip:
pip install -r requirements.txt
* Using
uv (if installed): uv pip install -r requirements.txt
# Or, if you prefer uv's environment management:
# uv sync
Running the Server
Once the dependencies are installed, you can run the MCP server directly:
uv run uvicorn mcp_server:app
You should see output indicating the server has started, similar to:
```
Starting CCXT MCP Server (Async with Annotated Params and Tool Metadata)...
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