AKShare MCP Server
A Model Context Protocol (MCP) server that provides financial data analysis capabilities using the AKShare library.
Features
- Access to Chinese and global financial market data through AKShare
- Integration with Claude Desktop via MCP protocol
- Support for various financial data queries and analysis
Installation
Using uv (recommended)
# Clone the repository
git clone https://github.com/yourusername/akshare_mcp_server.git
cd akshare_mcp_server
# Create and activate a virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install dependencies with uv
uv pip install -e .
Using pip
# Clone the repository
git clone https://github.com/yourusername/akshare_mcp_server.git
cd akshare_mcp_server
# Create and activate a virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install dependencies
pip install -e .
Usage
Running the server
# Activate the virtual environment
source venv/bin/activate # On Windows: venv\Scripts\activate
# Run the server
python run_server.py
Integrating with Claude Desktop
- Add the following configuration to your Claude Desktop configuration:
"mcpServers": {
"akshare-mcp": {
"command": "uv",
"args": [
"--directory",
"/path/to/akshare_mcp_server",
"run",
"akshare-mcp"
],
"env": {
"AKSHARE_API_KEY": "<your_api_key_if_needed>"
}
}
}
- Restart Claude Desktop
- Select the AKShare MCP server from the available tools
The AKShare MCP server provides the following tools:
- Stock data queries
- Fund data queries
- Bond data queries
- Futures data queries
- Forex data queries
- Macroeconomic data queries
- And more...
To add a new tool to the MCP server, follow these steps:
- Add a new API function in
src/mcp_server_akshare/api.py:async def fetch_new_data_function(param1: str, param2: str = "default") -> List[Dict[str, Any]]:
"""
Fetch new data type.
Args:
param1: Description of param1
param2: Description of param2
"""
try:
df = ak.akshare_function_name(param1=param1, param2=param2)
return dataframe_to_dict(df)
except Exception as e:
logger.error(f"Error fetching new data: {e}")
raise
- Add the new tool to the enum in
src/mcp_server_akshare/server.py:class AKShareTools(str, Enum):
# Existing tools...
NEW_TOOL_NAME = "new_tool_name"
- Import the new function in
src/mcp_server_akshare/server.py:from .api import (
# Existing imports...
fetch_new_data_function,
)
- Add the tool definition to the
handle_list_tools() function:types.Tool(
name=AKShareTools.NEW_TOOL_NAME.value,
description="Description of the new tool",
inputSchema={
"type": "object",
"properties": {
"param1": {"type": "string", "description": "Description of param1"},
"param2": {"type": "string", "description": "Description of param2"},
},
"required": ["param1"], # List required parameters
},
),
- Add the tool handler in the
handle_call_tool() function:case AKShareTools.NEW_TOOL_NAME.value:
param1 = arguments.get("param1")
if not param1:
raise ValueError("Missing required argument: param1")
param2 = arguments.get("param2", "default")
result = await fetch_new_data_function(
param1=param1,
param2=param2,
)
- Test the new tool by running the server and making a request to the new tool.
Development
# Install development dependencies
uv pip install -e ".[dev]"
# Run tests
pytest
Docker
You can also run the server using Docker:
# Build the Docker image
docker build -t akshare-mcp-server .
# Run the Docker container
docker run -p 8000:8000 akshare-mcp-server
License
MIT