SEC XBRL (Financial Reporting) MCP Server for Mastra AIGive Mastra AI instant access to 4 tools to Get Company Concept, Get Company Facts, Get Submissions, and more
GDPR Free for SubscribersMastra AI is a TypeScript-native agent framework built for modern web stacks. Connect SEC XBRL (Financial Reporting) through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this MCP Server for Mastra AI
The SEC XBRL (Financial Reporting) MCP Server for Mastra AI is a standout in the Data Management category — giving your AI agent 4 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { 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-xbrl-financial-reporting": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "SEC XBRL (Financial Reporting) Agent",
instructions:
"You help users interact with SEC XBRL (Financial Reporting) " +
"using 4 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with SEC XBRL (Financial Reporting)?"
);
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 XBRL (Financial Reporting) MCP Server
Connect your AI agent to the SEC EDGAR database and perform deep financial analysis using standardized XBRL data. This server provides programmatic access to the U.S. Securities and Exchange Commission's public filing infrastructure.
Mastra's agent abstraction provides a clean separation between LLM logic and SEC XBRL (Financial Reporting) tool infrastructure. Connect 4 tools through 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.
What you can do
- Filing History — Retrieve the complete submission history for any entity using its Central Index Key (CIK)
- Company Facts — Fetch the entire dictionary of XBRL facts reported by a company, covering all taxonomies (US-GAAP, IFRS, etc.)
- Concept Analysis — Drill down into specific financial concepts (e.g., Net Income, Assets) for a single company over time
- Market-Wide Frames — Aggregate specific financial data points across all reporting entities for a particular period and unit
The SEC XBRL (Financial Reporting) MCP Server exposes 4 tools through the Vinkius. Connect it to Mastra AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 4 SEC XBRL (Financial Reporting) tools available for Mastra AI
When Mastra AI connects to SEC XBRL (Financial Reporting) through Vinkius, your AI agent gets direct access to every tool listed below — spanning xbrl, financial-reporting, sec-edgar, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Get company concept on SEC XBRL (Financial Reporting)
Get all XBRL disclosures for a single company concept
Get company facts on SEC XBRL (Financial Reporting)
Get all company concepts data for a specific company
Get submissions on SEC XBRL (Financial Reporting)
Includes metadata and recent filings. Get filing history for a specific entity
Get xbrl frames on SEC XBRL (Financial Reporting)
Get aggregated facts for a specific concept and period
Connect SEC XBRL (Financial Reporting) to Mastra AI via MCP
Follow these steps to wire SEC XBRL (Financial Reporting) into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the SEC XBRL (Financial Reporting) MCP Server
Mastra AI provides unique advantages when paired with SEC XBRL (Financial Reporting) through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add SEC XBRL (Financial Reporting) 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 XBRL (Financial Reporting) 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 XBRL (Financial Reporting) + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the SEC XBRL (Financial Reporting) MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query SEC XBRL (Financial Reporting), process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed SEC XBRL (Financial Reporting) 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 XBRL (Financial Reporting) on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using SEC XBRL (Financial Reporting) tools alongside other MCP servers
Example Prompts for SEC XBRL (Financial Reporting) in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with SEC XBRL (Financial Reporting) immediately.
"Get the filing history for Microsoft using CIK 789019."
"Show me all XBRL facts reported by Apple (CIK 320193)."
"Compare the 'AccountsPayableCurrent' for all companies in USD for the period CY2023Q3."
Troubleshooting SEC XBRL (Financial Reporting) MCP Server with Mastra AI
Common issues when connecting SEC XBRL (Financial Reporting) to Mastra AI through Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpSEC XBRL (Financial Reporting) + Mastra AI FAQ
Common questions about integrating SEC XBRL (Financial Reporting) 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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