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
Explore
- 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
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
- 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.
There are multiple ways to run this MCP server. Choose one of the following:
echo "Copy .env.example to .env and fill in secrets"
cp .env.example .env
- get_filing_type(filing_type_id) — Get detailed information about a filing type by its ID
- list_industries(industry_group, page, page_size, search) — List all available GICS industries
- get_industry(industry_id) — Get detailed information about a GICS industry
- list_industry_groups(sector, page, page_size, search) — List all available GICS industry groups
- get_industry_group(group_id) — Get detailed information about a GICS industry group
- get_sector(sector_id) — Get detailed information about a GICS sector
- list_sub_industries(industry, page, page_size, search) — List all available GICS sub-industries
- get_sub_industry(sub_industry_id) — Get detailed information about a GICS sub-industry
- list_sources(page, page_size) — List all available data sources
- get_source(source_id) — Get detailed information about a data source
- get_processed_filing(processed_filing_id) — Get processed content for a filing
- get_schema(format, lang) — Get the OpenAPI3 schema for the API
- search_companies(params) — Search for companies by name, ISIN, LEI, etc.
- get_company_detail(company_id) — Get detailed information about a company
- get_latest_filings(params) — Get the latest financial filings
- get_filing_detail(filing_id) — Get detailed information about a specific filing
- list_sectors() — List all available GICS sectors
- list_filing_types() — List all available filing types
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",
"."
]
}
}🎬 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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