Akshare

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Overview

AKShare requires Python(64 bit) 3.11 or higher and aims to simplify the process of fetching financial data.

Write less, get more!

• Documentation: 中文文档
• MCP server for AI assistants: AKTools lets Claude, Cursor and other MCP clients fetch AKShare data in natural language — see AI Assistants (MCP)
• HTTP API: AKTools also serves AKShare over HTTP for other programming languages

AI Assistants (MCP)

AKShare is a Python library and does not run an MCP server itself. Its companion project AKTools ships one — registered in the official MCP Registry as io.github.akfamily/aktools — so AI assistants such as Claude Code, Claude Desktop and Cursor can look up and call every AKShare interface from a natural-language question, e.g. "贵州茅台 2024 年 10 月 8 日到 11 日的前复权日线行情".

No separate install is needed beyond uv:

claude mcp add aktools -- uvx --from aktools aktools-mcp

Claude Desktop, Cursor and other clients:

{
  "mcpServers": {
    "aktools": {
      "command": "uvx",
      "args": ["--from", "aktools", "aktools-mcp"]
    }
  }
}

Instead of registering 1000+ tools, it exposes three generic ones that the assistant chains together:

Tool	Purpose
search_interfaces	Find interface names by keyword
describe_interface	Show an interface's parameters, defaults and description
get_data	Call an interface and return up to max_rows rows (default 100, max 1000)

A running python -m aktools server also exposes the same tools over Streamable HTTP at http://127.0.0.1:8080/mcp. See the MCP guide (中文) for HTTP mode, proxies, access tokens and LAN access.

Installation

uv (Recommended)

uv pip install akshare --upgrade

See the uv environment guide for installing uv and creating a virtual environment.

pip

pip install akshare --upgrade

China

uv pip install akshare --upgrade --default-index https://pypi.tuna.tsinghua.edu.cn/simple
# or
pip install akshare --upgrade -i https://pypi.tuna.tsinghua.edu.cn/simple

Usage

Data

Code:

import akshare as ak

stock_zh_a_hist_df = ak.stock_zh_a_hist(symbol="000001", period="daily", start_date="20170301", end_date="20231022", adjust="")
print(stock_zh_a_hist_df)

Output: