SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison MCP Server for Mastra AI 4 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"sec-edgar-financials-revenue-income-assets-eps-industry-comparison": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison Agent",
instructions:
"You help users interact with SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison " +
"using 4 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison tool infrastructure. Connect 4 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 4 tools from SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison via MCP
Why Use Mastra AI with the SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison MCP Server
Mastra AI provides unique advantages when paired with SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison tools alongside other MCP servers
SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison MCP Tools for Mastra AI (4)
These 4 tools become available when you connect SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpSEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison + Mastra AI FAQ
Common questions about integrating SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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Connect SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison to Mastra AI
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.
