XBRL (eXtensible Business Reporting Language) is a standardized format for financial data required by the SEC since 2009. It tags every financial number (revenue, assets, debt, etc.) with a machine-readable label, making it possible to extract and compare financial data across companies automatically.

What is a US-GAAP concept?

US-GAAP comprises the standard accounting principles in the US. Each accounting term (like 'Revenues' or 'NetIncomeLoss') maps directly to specific facts filed in XBRL format.

The SEC provides 'Frames' to view an entire industry's metric at once (e.g., all revenues in Q1 2024) instead of polling company-by-company.

SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison MCP Server for AutoGen 4 tools — connect in under 2 minutes

Name: SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 4 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.

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Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="sec_edgar_financials_revenue_income_assets_eps_industry_comparison_agent",
            tools=tools,
            system_message=(
                "You help users with SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison. "
                "4 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison

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About SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison MCP Server

SEC XBRL financial data.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison tools. Connect 4 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

4 Tools

Key Financials — Revenue, income, assets, EPS, cash
Financial Metric — Any US-GAAP concept
All Facts — Complete XBRL data dump
Industry Comparison — Cross-company metric frames

Zero Auth

Like a free Bloomberg terminal

The SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison MCP Server exposes 4 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison to AutoGen via MCP

Follow these steps to integrate the SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 4 tools from SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison automatically

Why Use AutoGen with the SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison MCP Server

AutoGen provides unique advantages when paired with SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison tools to solve complex tasks

Role-based architecture lets you assign SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison tool access to specific agents — a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison tool calls

Code execution sandbox: AutoGen agents can write and run code that processes SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison tool responses in an isolated environment

SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison + AutoGen Use Cases

Practical scenarios where AutoGen combined with the SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison MCP Server delivers measurable value.

Collaborative analysis: one agent queries SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison responses in a sandboxed execution environment

SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison MCP Tools for AutoGen (4)

These 4 tools become available when you connect SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison to AutoGen via MCP:

get_all_company_facts

This is the raw, comprehensive dataset — hundreds of concepts across multiple years. Use get_key_financials for a curated summary, or this for deep analysis. Get ALL XBRL financial facts for a company — complete financial data dump

get_financial_metric

Common concepts: Revenues, NetIncomeLoss, Assets, Liabilities, StockholdersEquity, EarningsPerShareBasic, LongTermDebt, ResearchAndDevelopmentExpense, CashAndCashEquivalentsAtCarryingValue, CommonStockSharesOutstanding. If the concept is not found, returns available concepts. Get a specific US-GAAP financial concept for a company (e.g., Revenue, Debt, R&D)

get_industry_comparison

Useful for industry comparison and screening. Example: get all companies' Revenue for CY2024. Period format: CY2024 (annual), CY2024Q1 (quarterly), CY2024Q1I (instant). Compare a financial metric across ALL companies — industry-wide XBRL frame data

get_key_financials

Returns the most recent 5 reported values across 10-K and 10-Q filings. This is like a mini Bloomberg terminal — for free. Get key financial data for a company — revenue, net income, assets, equity, EPS, cash

Example Prompts for SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison immediately.

"Get Apple's key financial data — revenue, income, assets, and EPS"

"What is Meta's exact Research and Development Expense?"

"Show me a comparison of Revenue across all companies for CY2024"

Troubleshooting SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison MCP Server with AutoGen

Common issues when connecting SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison + AutoGen FAQ

Common questions about integrating SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.