Financial Reports MCP Server
About
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
Details
- Author
- itisaevalex
- GitHub stars
- 7
- Downloads
- 476
- Categories
- Finance
Jump to
- 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)
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Financial Reports MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
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.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"financial reports mcp server": {
"financial-reports-mcp-server": {
"command": "docker",
"args": [
"build",
"-t",
"financial-reports-mcp",
"."
]
}
}
}
}
McpServers
{
"financial-reports-mcp-server": {
"command": "docker",
"args": [
"build",
"-t",
"financial-reports-mcp",
"."
]
}
}
Financial Reports MCP Server
🎬 Demo
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An MCP (Model Context Protocol) server for accessing the Financial Reports API, providing tools and resources to access company financial filings, industry classifications, and related data.
Features
- Search for companies by name, country, or sector
- Get detailed company information
- Access latest financial filings
- Look up industry classifications
- Get filing details and content
Prerequisites
- Python 3.11+
- Docker (recommended)
- FastMCP (if running locally)
- dotenv for environment variable management (if running locally)
Note: The server now uses only the real Financial Reports API. All mock API logic and configuration has been removed for simplicity and reliability.
🚀 Getting Started
There are multiple ways to run this MCP server. Choose one of the following:
Option 1: Docker (Recommended)
Docker is the recommended way to run the MCP server for reproducibility, isolation, and ease of use.
```bash
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