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 Google ADK 4 tools — connect in under 2 minutes

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

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 4 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="sec_edgar_financials_revenue_income_assets_eps_industry_comparison_agent",
    instruction=(
        "You help users interact with SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison "
        "using 4 available tools."
    ),
    tools=[mcp_tools],
)

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

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

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

SEC XBRL financial data.

Google ADK natively supports SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 4 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

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

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

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

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

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

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

Seamless integration with Google Cloud services means you can combine SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison tools with BigQuery, Vertex AI, and Cloud Functions

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

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

Enterprise data agents: ADK agents query SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison

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

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

Ready-to-use prompts you can give your Google ADK 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 Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

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

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

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.