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 OpenAI Agents SDK 4 tools — connect in under 2 minutes

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

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 4 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

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Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison Assistant",
            instructions=(
                "You help users interact with SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison. "
                "You have access to 4 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison"
        )
        print(result.final_output)

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.

The OpenAI Agents SDK auto-discovers all 4 tools from SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

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

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 4 tools from SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison

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

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

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison + OpenAI Agents SDK Use Cases

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

Automated workflows: build agents that query SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison to resolve tickets, look up records, and update statuses without human intervention

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

These 4 tools become available when you connect SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

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

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison + OpenAI Agents SDK FAQ

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

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.