Compatible with every major AI agent and IDE
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your IBKR Client Portal API URL and your optional Flex Web Service Token
- Start managing your brokerage account from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Active Traders — execute and modify orders quickly without switching between complex trading interfaces
- Financial Analysts — automate the retrieval of portfolio ledgers and Flex statements for reporting
- Developers — integrate real-time market data and account management directly into your coding environment
Built-in capabilities (9)
Cancel an existing order
Get account summary
Retrieve a generated Flex Query report
Get market data snapshot for contracts
Get portfolio ledger
Modify an existing order
Requires a JSON array of order objects. Place a new order
Returns a ReferenceCode to be used with get_flex_statement. Generate a Flex Query report
Maintain Client Portal API session
Why CrewAI?
When paired with CrewAI, IBKR (Interactive Brokers) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call IBKR (Interactive Brokers) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
- —
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
IBKR (Interactive Brokers) in CrewAI
IBKR (Interactive Brokers) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect IBKR (Interactive Brokers) to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for IBKR (Interactive Brokers) in CrewAI
The IBKR (Interactive Brokers) 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. All 9 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
IBKR (Interactive Brokers) for CrewAI
Every tool call from CrewAI to the IBKR (Interactive Brokers) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I prevent my IBKR API session from timing out?
You can use the tickle_session tool. It is designed to maintain the Client Portal API session by sending a heartbeat, preventing timeouts due to inactivity.
Can I retrieve historical trade reports through this server?
Yes. First, use send_flex_request with your Flex Query ID to generate a report. Then, use the returned Reference Code with get_flex_statement to download the data.
How do I check my current buying power and margin requirements?
Use the get_account_summary tool with your Account ID. It returns a comprehensive summary of equity, margin, and other key financial metrics for the specified account.
How does CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
Explore More MCP Servers
View all →
Woodpecker CI
34 toolsManage your Woodpecker CI instance — control pipelines, monitor agents, and configure repositories directly from your AI agent.

Katalon TestOps (AI Test Management)
10 toolsManage test orchestration via Katalon TestOps — rerun test runs, monitor execution results, and audit software releases.

Kontent.ai (Enterprise Headless CMS)
10 toolsManage enterprise content via Kontent.ai — create items, publish language variants, and audit content types.

fal.ai 3D
12 toolsGenerate 3D models via fal.ai — convert images and text to 3D assets using Rodin, TripoSR, Trellis, and 9+ AI models from any AI agent.
