MCPs
FinData MCP Server

FinData MCP Server

Open-source MCP server for LLM access to professional financial data.

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FinData MCP Server offers standardized financial data access to large language models by implementing the Model Context Protocol. It supports multiple data providers such as Tushare and Wind, and enables retrieval of both market and macroeconomic data via Stdio or SSE transports. The server is configurable and integrates into AI systems, providing tools for market, fundamental, and financial data queries.

Key Features

Implements the Model Context Protocol (MCP) for AI model context transactions

Supports Stdio and SSE transports for flexible communication

Integrates with multiple financial data providers such as Tushare

Configurable via environment variables and client configuration

Provides access to market, fundamental, and macroeconomic data

Supports Python 3.11 and modern dependency management

Offers demo and quick start setup instructions

Modular design supporting new data providers

Detailed toolset for financial queries (e.g., stock info, balancesheet, macro indices)

Flexible deployment options suitable for AI server environments

Use Cases

Enhancing LLM applications with up-to-date financial and macroeconomic data

Serving as a data backend for AI-powered financial analytics tools

Automated stock market analysis and reporting using LLMs

Embedding real-time financial context in conversational AI agents

Supporting research projects requiring structured financial datasets

Providing LLM chatbots with direct access to stock, company, and macroeconomic data

Integrating with AI tools for data-driven investment analysis

Enabling easy switching between different financial data providers in AI workflows

Finance education and simulation systems powered by model-contextualized data

Building custom dashboards or assistants for financial professionals using LLMs

README

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:

JSON

{
  "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

bash

 set DATA_API_TOKEN=<API Token for accessing data provider>
 set PROVIDER=<Specified data provider>

Linux

bash

  export DATA_API_TOKEN=<API Token for accessing data provider>
  export PROVIDER=<Specified data provider>

Then, start the MCP Server:

bash

uv run server.py --transport sse

Optional Arguments:

--sse-host Host to bind SSE server to (default: localhost)

--sse-port Port 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.

JSON

{
  "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

daily Get unadjusted daily stock market data.

Fundamental Data

stock_basic Get stock basic information including name, code, etc.
stock_company Get listed company basic information.
bak_basic Get fundamental data for specific stocks within a given time range.

Financial Data

income Get company income statement data.
balancesheet Get company balance sheet data.
cashflow Get company cash flow statement data.

Macroeconomic Data

shibor_lpr Get Loan Prime Rate (LPR) data.
cn_gdp Get Gross Domestic Product (GDP) data.
cn_cpi Get Consumer Price Index (CPI) data.
cn_ppi Get Producer Price Index (PPI) data.
cn_m Get Money Supply data.
sf_month Get Social Financing data.
cn_pmi Get Purchasing Managers' Index (PMI) data.

DataCanvas

This project is open-sourced by DataCanvas

Star History

Repository Owner

zlinzzzz

User

Repository Details

Language Python

Default Branch master

Size 35,594 KB

Contributors 1

License Apache License 2.0

MCP Verified Nov 12, 2025

Programming Languages

Python

100%

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FinData MCP Server

Key Features

Use Cases

README

Overview

Demonstration

Quick Start

Prerequisites

Configuration

Stdio Transport

SSE Transport

Supported Data Providers

Tools

Tushare

Market Data

Fundamental Data

Financial Data

Macroeconomic Data

DataCanvas

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