FinData
MCP server providing professional financial data access for LLMs through providers like Tushare, Wind, and DataYes.
README
<h1 align="center"> <img src="assets/logo.png" width="400" align=center/> </h1><br>
<div align="center">
</div>
<div class="toc" align="center"> <a href="#Overview">Overview</a> • <a href="#Demonstration">Demo</a> • <a href="#Quick-Start">Quick Start</a> • <a href="#Supported-Data-Providers">Supported Data Providers</a> • <a href="#Tools">Tools</a> </div>
Overview
FinData is an open-source Model Context Protocol(MCP) Server that provides professional financial data access capabilities for LLM. It supports various data providers such as Tushare, Wind, DataYes, etc. This enables AI applications to quickly retrieve financial data.
Fully supports both Stdio and SSE transports, offering flexibility for different environments.
Demonstration
https://github.com/user-attachments/assets/1a6d02af-22a3-44a0-ada7-a771a1c4818d
Quick Start
Prerequisites
Before getting started, please complete the following preparations:
- python => 3.11
- mcp[cli]>=1.6.0
- pandas>=2.2.3
- uv
Depending on your data provider, install optional packages such as:
- tushare>=1.4.21
Configuration
Stdio Transport
You will need to edit the MCP client configuration file to add finData:
{
"mcpServers": {
"finData": {
"command": "uv",
"args": [
"--directory",
"/ABSOLUTE/PATH/TO/PARENT/FOLDER/finData-mcp-server/src/findata",
"run",
"server.py"
],
"env": {
"DATA_API_TOKEN": "", // API Token for accessing data provider
"PROVIDER": "tushare" // Specified data provider
}
}
}
}
SSE Transport
Set the environment variables DATA_API_TOKEN and PROVIDER on the server hosting the MCP Server:
Windows
set DATA_API_TOKEN=<API Token for accessing data provider>
set PROVIDER=<Specified data provider>
Linux
export DATA_API_TOKEN=<API Token for accessing data provider>
export PROVIDER=<Specified data provider>
Then, start the MCP Server:
uv run server.py --transport sse
-
Optional Arguments:
--sse-hostHost to bind SSE server to (default: localhost)--sse-portPort for SSE server (default: 8000)
Once the MCP Server is running, update your MCP client's configuration with the following settings to connect to it.
{
"mcpServers": {
"finData": {
"name": "finData",
"type": "sse",
"baseUrl": "http://localhost:8000/sse"
}
}
}
Note: Variable names in configuration files may vary slightly between MCP clients. Refer to each client's documentation for proper configuration.
Supported Data Providers
Set the PROVIDER environment variable to specify your provider:
- tushare
Tools
Tushare
Market Data
dailyGet unadjusted daily stock market data.
Fundamental Data
stock_basicGet stock basic information including name, code, etc.stock_companyGet listed company basic information.bak_basicGet fundamental data for specific stocks within a given time range.
Financial Data
incomeGet company income statement data.balancesheetGet company balance sheet data.cashflowGet company cash flow statement data.
Macroeconomic Data
shibor_lprGet Loan Prime Rate (LPR) data.cn_gdpGet Gross Domestic Product (GDP) data.cn_cpiGet Consumer Price Index (CPI) data.cn_ppiGet Producer Price Index (PPI) data.cn_mGet Money Supply data.sf_monthGet Social Financing data.cn_pmiGet Purchasing Managers' Index (PMI) data.
DataCanvas

This project is open-sourced by DataCanvas
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。