AKShare MCP Server

@ttjslbz001

AKShare MCP Server について

概要はまだありません

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "akshare_mcp_server": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is AKShare MCP Server?

AKShare MCP Server is a Model Context Protocol (MCP) server that provides financial data analysis capabilities using the AKShare library. It offers access to Chinese and global financial market data and integrates with Claude Desktop via the MCP protocol.

How to use AKShare MCP Server?

Install with uv pip install -e . or pip install -e . after cloning the repository, then run python run_server.py in the activated virtual environment. For Claude Desktop integration, add the server configuration to Claude’s MCP config with the command uv --directory /path/to/akshare_mcp_server run akshare-mcp and optionally set the environment variable AKSHARE_API_KEY.

Key features of AKShare MCP Server

Access to Chinese and global financial market data
Integration with Claude Desktop via MCP protocol
Tools for stock, fund, bond, futures, and forex data
Macroeconomic data query capabilities
Extensible design for adding custom data tools
Supports Docker deployment

Use cases of AKShare MCP Server

Query real-time and historical stock data for Chinese and global markets
Retrieve fund, bond, futures, and forex market information
Analyze macroeconomic indicators for economic research
Build automated financial analysis workflows with Claude Desktop
Extend with custom tools for specialized financial data needs

FAQ from AKShare MCP Server

What is AKShare MCP Server?

It is an MCP server that wraps the AKShare financial data library, enabling Claude Desktop and other MCP clients to query a wide range of financial market data through standardized tools.

How do I integrate AKShare MCP Server with Claude Desktop?

Add a configuration entry to your Claude Desktop settings with the command uv --directory /path/to/akshare_mcp_server run akshare-mcp and set AKSHARE_API_KEY if required, then restart Claude Desktop and select the AKShare MCP tools.

What data sources are available through AKShare MCP Server?

The server provides tools for stock, fund, bond, futures, forex, and macroeconomic data queries, covering both Chinese and global markets via the AKShare library.

Do I need an API key to use AKShare MCP Server?

An API key is optional. The configuration allows setting an AKSHARE_API_KEY environment variable if needed for certain data sources.

How can I add a new data tool to AKShare MCP Server?

Add a new async function in src/mcp_server_akshare/api.py, register it in the AKShareTools enum in server.py, import it, then define the tool in handle_list_tools() and add a handler in handle_call_tool().

よくある質問

What is AKShare MCP Server?

It is an MCP server that wraps the AKShare financial data library, enabling Claude Desktop and other MCP clients to query a wide range of financial market data through standardized tools.

How do I integrate AKShare MCP Server with Claude Desktop?

Add a configuration entry to your Claude Desktop settings with the command `uv --directory /path/to/akshare_mcp_server run akshare-mcp` and set `AKSHARE_API_KEY` if required, then restart Claude Desktop and select the AKShare MCP tools.

What data sources are available through AKShare MCP Server?

The server provides tools for stock, fund, bond, futures, forex, and macroeconomic data queries, covering both Chinese and global markets via the AKShare library.

Do I need an API key to use AKShare MCP Server?

An API key is optional. The configuration allows setting an `AKSHARE_API_KEY` environment variable if needed for certain data sources.

How can I add a new data tool to AKShare MCP Server?

Add a new async function in `src/mcp_server_akshare/api.py`, register it in the `AKShareTools` enum in `server.py`, import it, then define the tool in `handle_list_tools()` and add a handler in `handle_call_tool()`.