How do I find the CIK for a company like Apple?

You can search for a company's CIK on the official SEC website or ask your agent to find it. For Apple, the CIK is '0000320193'. Remember to use the leading zeros if necessary.

Can I see the latest 10-K filing for a specific entity?

Yes! Use the `get_submissions` tool with the company's CIK. The response will list the most recent filings, and you can identify the 10-K report among them.

XBRL (eXtensible Business Reporting Language) is a standardized format for business reporting. It allows the SEC and analysts to extract specific financial facts (like Net Income) from filings programmatically.

SEC EDGAR MCP Server for LangChain 3 tools — connect in under 2 minutes

Name: SEC EDGAR
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 3 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect SEC EDGAR through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "sec-edgar": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using SEC EDGAR, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 MCP Server

Empower your AI agent with the primary source for US corporate intelligence through the SEC EDGAR MCP server. This integration provides real-time access to the Securities and Exchange Commission's database of public company filings. Your agent can retrieve recent submissions (like annual 10-K and quarterly 10-Q reports), extract specific XBRL financial facts, and audit disclosures for any public entity using its Central Index Key (CIK). Whether you are conducting fundamental analysis, auditing regulatory compliance, or researching corporate history, your agent acts as a dedicated financial analyst through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with SEC EDGAR through native MCP adapters. Connect 3 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Submission Tracking — Retrieve the most recent filings for any public company.
Financial Fact Extraction — Access structured XBRL data for balance sheets, income statements, and more.
Concept Lookup — Fetch company disclosures for specific financial concepts across multiple years.
Entity Identification — Use CIKs to precisely target data for specific public entities.

The SEC EDGAR MCP Server exposes 3 tools through the Vinkius. Connect it to LangChain 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 to LangChain via MCP

Follow these steps to integrate the SEC EDGAR MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 3 tools from SEC EDGAR via MCP

Why Use LangChain with the SEC EDGAR MCP Server

LangChain provides unique advantages when paired with SEC EDGAR through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine SEC EDGAR MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across SEC EDGAR queries for multi-turn workflows

SEC EDGAR + LangChain Use Cases

Practical scenarios where LangChain combined with the SEC EDGAR MCP Server delivers measurable value.

RAG with live data: combine SEC EDGAR tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query SEC EDGAR, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain SEC EDGAR tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every SEC EDGAR tool call, measure latency, and optimize your agent's performance

SEC EDGAR MCP Tools for LangChain (3)

These 3 tools become available when you connect SEC EDGAR to LangChain via MCP:

get_company_concept

g., Assets, Liabilities). Get a specific financial concept for a company

get_company_facts

Get financial facts for a company

get_submissions

) for a company using its Central Index Key (CIK). Get recent submissions for a company

Example Prompts for SEC EDGAR in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with SEC EDGAR immediately.

"Get recent submissions for Apple Inc (CIK 0000320193)."

"Extract the 'NetIncomeLoss' for Microsoft (CIK 0000789019) for the last 3 years."

"Find all filings for Tesla (CIK 0001318605) related to '8-K' forms this year."

Troubleshooting SEC EDGAR MCP Server with LangChain

Common issues when connecting SEC EDGAR to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

SEC EDGAR + LangChain FAQ

Common questions about integrating SEC EDGAR MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.