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Financial Reports MCP Server

@itisaevalex

代码仓库主页

基本信息

分类

金融与商务

许可证

NOASSERTION

传输方式

stdio

作者

itisaevalex

关于 Financial Reports MCP Server

Instantly query European financial data for AI. This FastMCP server connects the FinancialReports.eu API to powerful language models, making complex reports easy to search, analyze, and explain

#finance#analytics#stock-market#europe#mcp-server

Financial Reports MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "financial-reports-mcp-server": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "financial-reports-mcp",
        "."
      ]
    }
  }
}

Financial Reports MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Financial Reports MCP Server?

An MCP (Model Context Protocol) server for accessing the Financial Reports API. It provides tools and resources to search for companies, retrieve financial filings, look up GICS industry classifications, and access related data. Designed for developers using MCP clients like Claude Desktop.

How to use Financial Reports MCP Server?

You can run it via Docker (recommended), the Smithery CLI, or locally with Python 3.11+. Configure with a .env file containing API_KEY, API_BASE_URL, and MCP_TRANSPORT=stdio. For Claude Desktop, use the Docker or uv configuration examples in the examples/ directory.

Key features of Financial Reports MCP Server

  • Search for companies by name, country, or sector
  • Get detailed company information
  • Access latest financial filings
  • Look up GICS industry classifications
  • Retrieve filing details and content
  • All tools use the real Financial Reports API (no mock)

Use cases of Financial Reports MCP Server

  • Search for a company and retrieve its profile and recent filings
  • Find the latest annual reports from major European banks
  • Look up industry classifications for a specific sector
  • Access processed content from specific filings
  • Integrate financial data into an AI assistant workflow

常见问题

1

What are the prerequisites to run the server?

Python 3.11+ is required. Docker is recommended for reproducibility. For local development, install dependencies from `requirements.txt` and set up a virtual environment.

2

How do I configure the server?

Create a `.env` file in the root directory with `API_KEY`, `API_BASE_URL` (e.g., `https://api.financialreports.eu/`), and `MCP_TRANSPORT=stdio`. Pass secrets as `-e` arguments when using Docker.

3

What transport does the server use?

The server uses stdio transport by default, which is compatible with Claude Desktop.

4

Is the server compatible with Windows?

Yes. All methods are supported on Windows. For Claude Desktop, `uv`-based installation is recommended. Docker requires Docker Desktop for Windows.

5

Can I run the server without an API key?

No. A valid Financial Reports API key is required for authentication. The server only uses the real API and no longer includes mock logic.

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