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IBKR (Interactive Brokers) MCP Server for LangChainGive LangChain instant access to 9 tools to Cancel Order, Get Account Summary, Get Flex Statement, and more

MCP Inspector GDPR Free for Subscribers

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

Ask AI about this MCP Server for LangChain

The IBKR (Interactive Brokers) MCP Server for LangChain is a standout in the Money Moves category — giving your AI agent 9 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 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({
        "ibkr-interactive-brokers": {
            "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 IBKR (Interactive Brokers), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
IBKR (Interactive Brokers)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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 IBKR (Interactive Brokers) MCP Server

Connect your Interactive Brokers account to any AI agent to automate your trading workflows and portfolio monitoring through the Client Portal API.

LangChain's ecosystem of 500+ components combines seamlessly with IBKR (Interactive Brokers) through native MCP adapters. Connect 9 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

  • Order Management — Place, modify, and cancel orders for specific accounts using natural language commands.
  • Market Data — Fetch real-time snapshots for specific contracts (ConIds) to inform your trading decisions.
  • Portfolio Tracking — Monitor cash balances by currency and view comprehensive account summaries including equity and margin metrics.
  • Advanced Reporting — Programmatically request and retrieve pre-configured Flex Query reports for deep financial analysis and auditing.
  • Session Maintenance — Keep your API session active with built-in session management tools.

The IBKR (Interactive Brokers) MCP Server exposes 9 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 9 IBKR (Interactive Brokers) tools available for LangChain

When LangChain connects to IBKR (Interactive Brokers) through Vinkius, your AI agent gets direct access to every tool listed below — spanning trading, brokerage, portfolio-management, 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.

cancel

Cancel order on IBKR (Interactive Brokers)

Cancel an existing order

get

Get account summary on IBKR (Interactive Brokers)

Get account summary

get

Get flex statement on IBKR (Interactive Brokers)

Retrieve a generated Flex Query report

get

Get market data snapshot on IBKR (Interactive Brokers)

Get market data snapshot for contracts

get

Get portfolio ledger on IBKR (Interactive Brokers)

Get portfolio ledger

modify

Modify order on IBKR (Interactive Brokers)

Modify an existing order

place

Place order on IBKR (Interactive Brokers)

Requires a JSON array of order objects. Place a new order

send

Send flex request on IBKR (Interactive Brokers)

Returns a ReferenceCode to be used with get_flex_statement. Generate a Flex Query report

tickle

Tickle session on IBKR (Interactive Brokers)

Maintain Client Portal API session

Connect IBKR (Interactive Brokers) to LangChain via MCP

Follow these steps to wire IBKR (Interactive Brokers) into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 9 tools from IBKR (Interactive Brokers) via MCP

Why Use LangChain with the IBKR (Interactive Brokers) MCP Server

LangChain provides unique advantages when paired with IBKR (Interactive Brokers) through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine IBKR (Interactive Brokers) MCP tools with 500+ LangChain components

02

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

03

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

04

Memory and conversation persistence let agents maintain context across IBKR (Interactive Brokers) queries for multi-turn workflows

IBKR (Interactive Brokers) + LangChain Use Cases

Practical scenarios where LangChain combined with the IBKR (Interactive Brokers) MCP Server delivers measurable value.

01

RAG with live data: combine IBKR (Interactive Brokers) tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query IBKR (Interactive Brokers), synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain IBKR (Interactive Brokers) tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every IBKR (Interactive Brokers) tool call, measure latency, and optimize your agent's performance

Example Prompts for IBKR (Interactive Brokers) in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with IBKR (Interactive Brokers) immediately.

01

"Get a market data snapshot for ConId 265598."

02

"Show me the account summary for account U1234567."

03

"Cancel order 1001 for account U1234567."

Troubleshooting IBKR (Interactive Brokers) MCP Server with LangChain

Common issues when connecting IBKR (Interactive Brokers) to LangChain through Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

IBKR (Interactive Brokers) + LangChain FAQ

Common questions about integrating IBKR (Interactive Brokers) MCP Server with LangChain.

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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