SEC XBRL (Financial Reporting) MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 4 tools to Get Company Concept, Get Company Facts, Get Submissions, and more

Name: SEC XBRL (Financial Reporting)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect SEC XBRL (Financial Reporting) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The SEC XBRL (Financial Reporting) MCP Server for OpenAI Agents SDK is a standout in the Data Management category — giving your AI agent 4 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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 XBRL (Financial Reporting) Assistant",
            instructions=(
                "You help users interact with SEC XBRL (Financial Reporting). "
                "You have access to 4 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from SEC XBRL (Financial Reporting)"
        )
        print(result.final_output)

asyncio.run(main())

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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.

The OpenAI Agents SDK auto-discovers all 4 tools from SEC XBRL (Financial Reporting) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries SEC XBRL (Financial Reporting), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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

Get company concept on SEC XBRL (Financial Reporting)

Get all XBRL disclosures for a single company concept

get

Get company facts on SEC XBRL (Financial Reporting)

Get all company concepts data for a specific company

get

Get submissions on SEC XBRL (Financial Reporting)

Includes metadata and recent filings. Get filing history for a specific entity

get

Get xbrl frames on SEC XBRL (Financial Reporting)

Get aggregated facts for a specific concept and period

Connect SEC XBRL (Financial Reporting) to OpenAI Agents SDK via MCP

Follow these steps to wire SEC XBRL (Financial Reporting) into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 XBRL (Financial Reporting)

Why Use OpenAI Agents SDK with the SEC XBRL (Financial Reporting) MCP Server

OpenAI Agents SDK provides unique advantages when paired with SEC XBRL (Financial Reporting) 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 XBRL (Financial Reporting) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the SEC XBRL (Financial Reporting) MCP Server delivers measurable value.

Automated workflows: build agents that query SEC XBRL (Financial Reporting), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries SEC XBRL (Financial Reporting), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through SEC XBRL (Financial Reporting) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query SEC XBRL (Financial Reporting) to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for SEC XBRL (Financial Reporting) in OpenAI Agents SDK

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

Common issues when connecting SEC XBRL (Financial Reporting) to OpenAI Agents SDK through 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 XBRL (Financial Reporting) + OpenAI Agents SDK FAQ

Common questions about integrating SEC XBRL (Financial Reporting) 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.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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