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nadavgb-atom

ib-async-mcp

by nadavgb-atom

get_option_chain

Retrieve option chain data for a specified underlying symbol to analyze available contracts, strike prices, and expiration dates for trading strategies.

Instructions

Get option chain for an underlying.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesUnderlying symbol
exchangeNo
underlying_sec_typeNoSTK

Implementation Reference

  • Implementation of the get_option_chain tool handler, which fetches option chains for a given symbol.
    if name == "get_option_chain":
        contract = Stock(args["symbol"], "SMART", "USD")
        await ib.qualifyContractsAsync(contract)
        chains = await ib.reqSecDefOptParamsAsync(
            args["symbol"],
            args.get("exchange", ""),
            args.get("underlying_sec_type", "STK"),
            contract.conId,
        )
        return [serialize_object(c) for c in chains]
  • Registration of the get_option_chain tool within the MCP server.
            Tool(
                name="get_option_chain",
                description="Get option chain for an underlying.",
                inputSchema={
                    "type": "object",
                    "properties": {
                        "symbol": {"type": "string", "description": "Underlying symbol"},
                        "exchange": {"type": "string", "default": ""},
                        "underlying_sec_type": {"type": "string", "default": "STK"},
                    },
                    "required": ["symbol"],
                },
            ),
            Tool(
                name="calculate_implied_volatility",
                description="Calculate implied volatility from option price.",
                inputSchema={
                    "type": "object",
                    "properties": {
                        "symbol": {"type": "string"},
                        "expiry": {"type": "string"},
                        "strike": {"type": "number"},
                        "right": {"type": "string"},
                        "option_price": {"type": "number"},
                        "underlying_price": {"type": "number"},
                    },
                    "required": ["symbol", "expiry", "strike", "right", "option_price", "underlying_price"],
                },
            ),
            Tool(
                name="calculate_option_price",
                description="Calculate option price from volatility.",
                inputSchema={
                    "type": "object",
                    "properties": {
                        "symbol": {"type": "string"},
                        "expiry": {"type": "string"},
                        "strike": {"type": "number"},
                        "right": {"type": "string"},
                        "volatility": {"type": "number"},
                        "underlying_price": {"type": "number"},
                    },
                    "required": ["symbol", "expiry", "strike", "right", "volatility", "underlying_price"],
                },
            ),
            # Scanner tools
            Tool(
                name="get_scanner_parameters",
                description="Get available scanner parameters.",
                inputSchema={"type": "object", "properties": {}},
            ),
            Tool(
                name="run_scanner",
                description="Run a market scanner.",
                inputSchema={
                    "type": "object",
                    "properties": {
                        "scan_code": {"type": "string", "description": "Scanner code (e.g., TOP_PERC_GAIN, MOST_ACTIVE)"},
                        "instrument": {"type": "string", "default": "STK", "description": "Instrument type"},
                        "location_code": {"type": "string", "default": "STK.US.MAJOR", "description": "Location code"},
                        "num_rows": {"type": "integer", "default": 10, "description": "Number of results"},
                    },
                    "required": ["scan_code"],
                },
            ),
            # News tools
            Tool(
                name="get_news_providers",
                description="Get available news providers.",
                inputSchema={"type": "object", "properties": {}},
            ),
            Tool(
                name="get_news_article",
                description="Get a news article.",
                inputSchema={
                    "type": "object",
                    "properties": {
                        "provider_code": {"type": "string"},
                        "article_id": {"type": "string"},
                    },
                    "required": ["provider_code", "article_id"],
                },
            ),
            Tool(
                name="get_historical_news",
                description="Get historical news headlines.",
                inputSchema={
                    "type": "object",
                    "properties": {
                        "con_id": {"type": "integer", "description": "Contract ID"},
                        "provider_codes": {"type": "string", "description": "Comma-separated provider codes"},
                        "total_results": {"type": "integer", "default": 10},
                    },
                    "required": ["con_id", "provider_codes"],
                },
            ),
            # Utility tools
            Tool(
                name="get_current_time",
                description="Get current TWS server time.",
                inputSchema={"type": "object", "properties": {}},
            ),
        ]
    
    
    
    @app.call_tool()
    async def call_tool(name: str, arguments: dict) -> list[TextContent]:
        """Handle tool calls."""
        global ib
        
        try:
            result = await _handle_tool(name, arguments)
            return [TextContent(type="text", text=json.dumps(serialize_object(result), indent=2))]
        except Exception as e:
            return [TextContent(type="text", text=json.dumps({"error": str(e)}))]
    
    
    async def _handle_tool(name: str, args: dict) -> Any:
        """Route tool calls to appropriate handlers."""
        global ib
        
        # Connection tools
        if name == "connect":
            if ib is not None and ib.isConnected():
                return {"status": "already_connected"}
            ib = IB()
            await ib.connectAsync(
                host=args.get("host", "127.0.0.1"),
                port=args.get("port", 7496),
                clientId=args.get("client_id", 1),
                readonly=args.get("readonly", True),
            )
            return {"status": "connected", "accounts": ib.managedAccounts()}
        
        if name == "disconnect":
            if ib is not None:
                ib.disconnect()
                ib = None
            return {"status": "disconnected"}
        
        if name == "is_connected":
            return {"connected": ib is not None and ib.isConnected()}
        
        # Require connection for other tools
        if ib is None or not ib.isConnected():
            raise RuntimeError("Not connected. Call 'connect' first.")
        
        # Account tools
        if name == "get_accounts":
            return {"accounts": ib.managedAccounts()}
        
        if name == "get_account_values":
            values = ib.accountValues(args.get("account", ""))
            return [{"account": v.account, "tag": v.tag, "value": v.value, "currency": v.currency} for v in values]
        
        if name == "get_account_summary":
            summary = ib.accountSummary(args.get("account", ""))
            return [{"account": v.account, "tag": v.tag, "value": v.value, "currency": v.currency} for v in summary]
        
        if name == "get_portfolio":
            items = ib.portfolio(args.get("account", ""))
            return [{
                "symbol": p.contract.symbol,
                "sec_type": p.contract.secType,
                "position": p.position,
                "market_price": p.marketPrice,
                "market_value": p.marketValue,
                "average_cost": p.averageCost,
                "unrealized_pnl": p.unrealizedPNL,
                "realized_pnl": p.realizedPNL,
                "account": p.account,
            } for p in items]
        
        if name == "get_positions":
            positions = ib.positions(args.get("account", ""))
            return [{
                "account": p.account,
                "symbol": p.contract.symbol,
                "sec_type": p.contract.secType,
                "position": p.position,
                "avg_cost": p.avgCost,
            } for p in positions]
        
        if name == "get_pnl":
            pnl_list = ib.pnl(args.get("account", ""))
            return [{
                "account": p.account,
                "daily_pnl": p.dailyPnL,
                "unrealized_pnl": p.unrealizedPnL,
                "realized_pnl": p.realizedPnL,
            } for p in pnl_list]
    
        
        # Contract tools
        if name == "create_contract":
            contract_type = args.pop("contract_type")
            kwargs = {k: v for k, v in args.items() if v is not None}
            if "expiry" in kwargs:
                kwargs["lastTradeDateOrContractMonth"] = kwargs.pop("expiry")
            contract = create_contract(contract_type, **kwargs)
            return serialize_object(contract)
        
        if name == "qualify_contracts":
            contract = create_contract(
                args["contract_type"],
                symbol=args["symbol"],
                exchange=args.get("exchange", "SMART"),
                currency=args.get("currency", "USD"),
            )
            qualified = await ib.qualifyContractsAsync(contract)
            return [serialize_object(c) for c in qualified]
        
        if name == "get_contract_details":
            contract = create_contract(
                args["contract_type"],
                symbol=args["symbol"],
                exchange=args.get("exchange", "SMART"),
                currency=args.get("currency", "USD"),
            )
            details = await ib.reqContractDetailsAsync(contract)
            return [serialize_object(d) for d in details]
        
        if name == "search_symbols":
            results = await ib.reqMatchingSymbolsAsync(args["pattern"])
            return [serialize_object(r) for r in (results or [])]
        
        # Market data tools
        if name == "get_market_data":
            contract = create_contract(
                args["contract_type"],
                symbol=args["symbol"],
                exchange=args.get("exchange", "SMART"),
                currency=args.get("currency", "USD"),
            )
            await ib.qualifyContractsAsync(contract)
            tickers = await ib.reqTickersAsync(contract)
            if tickers:
                t = tickers[0]
                return {
                    "symbol": contract.symbol,
                    "bid": t.bid,
                    "ask": t.ask,
                    "last": t.last,
                    "volume": t.volume,
                    "open": t.open,
                    "high": t.high,
                    "low": t.low,
                    "close": t.close,
                }
            return {"error": "No data available"}
        
        if name == "get_historical_data":
            contract = create_contract(
                args["contract_type"],
                symbol=args["symbol"],
                exchange=args.get("exchange", "SMART"),
                currency=args.get("currency", "USD"),
            )
            await ib.qualifyContractsAsync(contract)
            bars = await ib.reqHistoricalDataAsync(
                contract,
                endDateTime="",
                durationStr=args.get("duration", "1 D"),
                barSizeSetting=args.get("bar_size", "1 hour"),
                whatToShow=args.get("what_to_show", "TRADES"),
                useRTH=args.get("use_rth", True),
            )
            return [{
                "date": b.date.isoformat() if hasattr(b.date, 'isoformat') else str(b.date),
                "open": b.open,
                "high": b.high,
                "low": b.low,
                "close": b.close,
                "volume": b.volume,
            } for b in bars]
        
        if name == "get_head_timestamp":
            contract = create_contract(
                args["contract_type"],
                symbol=args["symbol"],
                exchange=args.get("exchange", "SMART"),
                currency=args.get("currency", "USD"),
            )
            await ib.qualifyContractsAsync(contract)
            ts = await ib.reqHeadTimeStampAsync(
                contract,
                whatToShow=args.get("what_to_show", "TRADES"),
                useRTH=True,
                formatDate=1,
            )
            return {"head_timestamp": ts.isoformat() if ts else None}
    
        
        # Order tools
        if name == "place_order":
            contract = create_contract(
                args["contract_type"],
                symbol=args["symbol"],
                exchange=args.get("exchange", "SMART"),
                currency=args.get("currency", "USD"),
            )
            await ib.qualifyContractsAsync(contract)
            
            order_type = args["order_type"].lower()
            action = args["action"].upper()
            quantity = args["quantity"]
            
            if order_type == "market":
                order = MarketOrder(action, quantity)
            elif order_type == "limit":
                order = LimitOrder(action, quantity, args["limit_price"])
            elif order_type == "stop":
                order = StopOrder(action, quantity, args["stop_price"])
            elif order_type == "stop_limit":
                order = StopLimitOrder(action, quantity, args["limit_price"], args["stop_price"])
            else:
                raise ValueError(f"Unknown order type: {order_type}")
            
            trade = ib.placeOrder(contract, order)
            return {
                "order_id": trade.order.orderId,
                "status": trade.orderStatus.status,
                "filled": trade.orderStatus.filled,
                "remaining": trade.orderStatus.remaining,
            }
        
        if name == "cancel_order":
            orders = ib.orders()
            for order in orders:
                if order.orderId == args["order_id"]:
                    ib.cancelOrder(order)
                    return {"status": "cancel_requested", "order_id": args["order_id"]}
            return {"error": "Order not found"}
        
        if name == "cancel_all_orders":
            ib.reqGlobalCancel()
            return {"status": "cancel_all_requested"}
        
        if name == "get_open_orders":
            orders = ib.openOrders()
            return [serialize_object(o) for o in orders]
        
        if name == "get_open_trades":
            trades = ib.openTrades()
            return [{
                "order_id": t.order.orderId,
                "symbol": t.contract.symbol,
                "action": t.order.action,
                "quantity": t.order.totalQuantity,
                "order_type": t.order.orderType,
                "status": t.orderStatus.status,
                "filled": t.orderStatus.filled,
                "remaining": t.orderStatus.remaining,
            } for t in trades]
        
        if name == "get_executions":
            executions = ib.executions()
            return [serialize_object(e) for e in executions]
        
        if name == "get_fills":
            fills = ib.fills()
            return [{
                "symbol": f.contract.symbol,
                "exec_id": f.execution.execId,
                "side": f.execution.side,
                "shares": f.execution.shares,
                "price": f.execution.price,
                "time": f.time.isoformat() if f.time else None,
                "commission": f.commissionReport.commission if f.commissionReport else None,
            } for f in fills]
        
        if name == "what_if_order":
            contract = create_contract(
                args["contract_type"],
                symbol=args["symbol"],
                exchange=args.get("exchange", "SMART"),
                currency=args.get("currency", "USD"),
            )
            await ib.qualifyContractsAsync(contract)
            
            order_type = args.get("order_type", "market").lower()
            if order_type == "limit":
                order = LimitOrder(args["action"], args["quantity"], args["limit_price"])
            else:
                order = MarketOrder(args["action"], args["quantity"])
            
            state = await ib.whatIfOrderAsync(contract, order)
            return serialize_object(state)
    
        
        # Options tools
        if name == "get_option_chain":
            contract = Stock(args["symbol"], "SMART", "USD")
            await ib.qualifyContractsAsync(contract)
            chains = await ib.reqSecDefOptParamsAsync(
                args["symbol"],
                args.get("exchange", ""),
                args.get("underlying_sec_type", "STK"),
                contract.conId,
            )
            return [serialize_object(c) for c in chains]

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.6/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, and the description does not disclose behavioral traits such as data freshness, supported option types, or pagination. The tool is a data retrieval but lacks details on scope or limitations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, but it is too brief and lacks important details. It is not front-loaded effectively as it only states the basic function.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given three parameters, no output schema, and no annotations, the description should provide more context about what data is returned, but it does not. The tool is simple but underspecified.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Only the 'symbol' parameter has a description in the schema; 'exchange' and 'underlying_sec_type' have defaults but no descriptions. The tool description adds no additional meaning, leaving parameters underspecified.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool retrieves an option chain for an underlying, which distinguishes it from calculation tools like calculate_option_price. However, it lacks specificity about what the chain contains.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives like get_market_data or calculate_option_price. No when-not-to-use or context provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.