# SEC EDGAR Financials MCP

> SEC EDGAR Financials provides immediate access to raw XBRL data from U.S. public company filings. Extract key financials like revenue, net income, and total assets for any listed corporation. You can also compare these metrics across entire industries using industry-wide comparison frames.

## Overview
- **Category:** data-intelligence
- **Price:** Free
- **Tags:** financial-analysis, xbrl, financial-metrics, market-data, corporate-finance, industry-benchmarking, accounting-standards, data-extraction

## Description

When you need hard financial numbers—the kind used by professional analysts—you don't want to sift through endless PDFs. This MCP pulls structured data directly from the SEC EDGAR database, giving your agent a clear view of what big companies report. You can pull key metrics for a specific company using `get_key_financials`, or you can drill down to isolate one single US-GAAP concept like Research and Development Expense with `get_financial_metric`. The real power is comparing whole groups; use the industry comparison tool to benchmark revenue across an entire sector. If you need everything, the full data dump is available via `get_all_company_facts`. Connecting this MCP through Vinkius gives your AI client a critical edge in market intelligence, allowing it to process and compare metrics that used to take days of manual work.

## Tools

### get_key_financials
Retrieves the five most recent reported values for core metrics like revenue, net income, and earnings per share.

### get_financial_metric
Fetches historical data for any specific US-GAAP concept, such as Research and Development Expense or Total Liabilities.

### get_all_company_facts
Provides a complete, raw dataset containing hundreds of XBRL facts across multiple years and concepts for deep investigation.

### get_industry_comparison
Compares a single financial metric across all companies within an industry frame for specific reporting periods.

## Prompt Examples

**Prompt:** 
```
Get Apple's key financial data — revenue, income, assets, and EPS
```

**Response:** 
```
📊 **SEC EDGAR Financials: AAPL**

Apple Inc. (CIK: 0000320193)

💰 Revenue (last 5 periods):
  Q4 2025: $124.3B
  Q3 2025: $85.8B

💵 Net Income (last 5 periods):
  Q4 2025: $36.3B
  Q3 2025: $21.4B

📈 Earnings Per Share (EPS):
  Q4 2025: $2.41
```

**Prompt:** 
```
What is Meta's exact Research and Development Expense?
```

**Response:** 
```
📊 **US-GAAP Concept: ResearchAndDevelopmentExpense (Meta)**

Meta Platforms, Inc. (CIK: 0001326801)

Reported Values:
FY 2025: $52,130,000,000
FY 2024: $38,485,000,000
FY 2023: $35,338,000,000
```

**Prompt:** 
```
Show me a comparison of Revenue across all companies for CY2024
```

**Response:** 
```
🏛️ **Industry Frame: Revenues (CY2024)**

Top reporting entities for CY2024 by US-GAAP Revenues:
1. Walmart Inc: $648,125,000,000
2. Amazon.com Inc: $574,785,000,000
3. Apple Inc: $383,285,000,000
```

## Capabilities

### Extract Key Company Metrics
Instantly pull the most recent five reported values for crucial figures like revenue, net income, assets, or EPS.

### Query Specific GAAP Concepts
Target and retrieve historical data for any defined US-GAAP financial concept, such as long-term debt or R&D expenses.

### Retrieve Raw Financial Data Dump
Access the complete, comprehensive dataset containing hundreds of XBRL facts across multiple years for deep analysis.

### Benchmark Industry Performance
Compare a specific financial metric (like total revenue) across every company within an entire industry sector.

## Use Cases

### Comparing competitors' growth trajectory
A financial analyst needs to compare how three tech companies handled their R&D spending over the last four years. Instead of downloading and cross-referencing multiple 10-K filings, they use `get_financial_metric` for 'ResearchAndDevelopmentExpense' across all three firms.

### Quick valuation check on a target company
An investment banker needs to verify the latest revenue figures and total assets for a potential acquisition. Using `get_key_financials` provides an immediate, reliable overview of the five most recent reported values.

### Identifying industry sector leaders
A strategy manager wants to know which companies in the retail sector generated the highest revenue last year. They use `get_industry_comparison` to filter and rank all firms based on a specific metric for CY2024.

### Building custom historical models
A data science team needs every financial number available, not just the key metrics. They leverage `get_all_company_facts` to build comprehensive time-series models using the full XBRL dataset.

## Benefits

- Speed up comps analysis. Instead of manually checking multiple quarters, use `get_key_financials` to pull the last five reported values for critical metrics like revenue or net income in seconds.
- Target difficult concepts easily. Need to know a company's exact long-term debt figure? Use `get_financial_metric` to query specific US-GAAP concepts, bypassing generalized search results.
- Run industry benchmarks instantly. Don’t waste time creating pivot tables; use the comparison tool to see how multiple companies measure up on total assets for CY2024.
- Access maximum detail. When quick summaries aren't enough, `get_all_company_facts` gives you a raw data dump of hundreds of XBRL concepts across years for advanced modeling.
- Eliminate ambiguity. The tool is built on official SEC EDGAR filings and US-GAAP standards, ensuring the numbers are reliable and verifiable.

## How It Works

The bottom line is, you get clean, standardized financial numbers without ever opening a PDF or running an API call yourself.

1. You tell your AI client which company and what metrics you need, or if you want to compare entire industries.
2. The MCP uses the SEC filing structure to pull the correct XBRL data points based on US-GAAP standards.
3. Your agent receives structured, clean data that includes historical periods and comparison frames, ready for analysis.

## Frequently Asked Questions

**How accurate is the SEC EDGAR Financials—Revenue, Income, Assets, EPS & Industry Comparison MCP?**
The data comes directly from official U.S. Securities and Exchange Commission (SEC) filings using XBRL standards. It's the primary source material for public financial reporting.

**Can I use get_industry_comparison to compare metrics across different years?**
Yes, you specify both the metric and the time frame. You can compare Revenue in CY2024 against Revenue in CY2023 using this tool.

**What is the difference between get_key_financials and get_all_company_facts?**
Use `get_key_financials` for a curated, easy-to-read summary of the most recent five periods. Use `get_all_company_facts` if you need every single historical data point available in the raw XBRL dump.

**Does this MCP cover private companies?**
No, this tool is specifically for U.S. public companies that file their reports with the SEC (EDGAR). It cannot access non-public data.

**How do I find a specific GAAP concept using get_financial_metric?**
You input the common name of the US-GAAP concept, such as 'LongTermDebt' or 'CommonStockSharesOutstanding,' and the tool returns its historical values for the requested company.