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Akshare one MCP: MCP server, setup and security

Akshare one MCP is an open-source MCP server that lets an AI agent access Chinese stock market data through the akshare-one integration. Its repository has 240 stars and its last commit is from October 23, 2026 and it is licensed under MIT.

Actively maintainedRemote server

What Akshare one MCP does

According to its repository: “MCP server that provides access to Chinese stock market data using akshare-one”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Akshare one MCP is listed under Finance and payments, a category of 202 servers in the directory, where it ranks #15 by stars.

Topics declared by the repository: akshare, stock-data.

Installing and connecting Akshare one MCP

Distribution modes declared in the official MCP registry:

  • PyPI package (Python, started with uvx or pip)
  • remote server (streamable-http): you connect to it by URL, with nothing to install locally

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: Python.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Akshare one MCP. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on April 8, 2025, the zwldarren/akshare-one-mcp repository has 240 stars and 53 forks, with 3 open issues. It has more stars than 80% of the servers in the directory. It received changes this month. Version published in the registry: 0.5.0 (October 23, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

Finance ToolkitFinance Toolkit : 5.5K5.5KTradingMCPTradingMCP : 5.1K5.1KTradememory protocolTradememory protocol : 1.4K1.4KCNEquityCNEquity : 846846Metatrader MCP serverMetatrader MCP server : 837837EVMoleEVMole : 473473OpenAccountantsOpenAccountants : 460460AkTools MCP ServerAkTools MCP Server : 391391Akshare one MCPAkshare one MCP : 240240
GitHub stars of the most followed servers in the category (log scale); Akshare one MCP in orange. Checked October 25, 2026.

Verdict

Akshare one MCP is one of the most solid servers in its category: followed, maintained and well framed.

Strengths

  • Active project: recent commit
  • Widely followed: 240 stars
  • Listed in the official MCP registry
  • Usable remotely, without installation
  • Permissive licence (MIT)

Frequently asked questions

How do I install Akshare one MCP?

Akshare one MCP is distributed as PyPI package (Python, started with uvx or pip) and a remote server. Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of zwldarren/akshare-one-mcp.

Is Akshare one MCP free?

The code is published under the MIT licence and can be used free of charge.

Is Akshare one MCP safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

It is published in the MCP registry under the verified namespace ai.smithery, which shows the publisher controls that domain.

What are the alternatives to Akshare one MCP?

In the same category: TradingMCP, Finance Toolkit, Tradememory protocol, and Tapetide Indian Stock Market MCP. TradingMCP scores higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score