TA-Lib MCP Server

Instructions

Implementation Reference

• src/mcp_talib/core/server.py:194-207 (handler)

  MCP tool handler for calculate_kama, decorated with @mcp.tool() for registration and execution logic delegating to KAMA indicator.
  @mcp.tool() async def calculate_kama(close: List[float], timeperiod: int = 10) -> Dict[str, Any]: try: indicator = registry.get_indicator("kama") if not indicator: raise ValueError("KAMA indicator not found") market_data = MarketData(close=close) result = await indicator.calculate(market_data, {"timeperiod": timeperiod}) if result.success: return {"success": True, "values": result.values, "metadata": result.metadata} return {"success": False, "error": result.error_message} except Exception as e: return {"success": False, "error": str(e)}
• src/mcp_talib/indicators/kama.py:16-19 (schema)

  Input schema defining parameters for KAMA indicator: close_prices (array) and timeperiod (int, default 10).
  @property def input_schema(self) -> Dict[str, Any]: return {"type": "object", "properties": {"close_prices": {"type": "array", "items": {"type": "number"}}, "timeperiod": {"type": "integer", "default": 10}}, "required": ["close_prices"]}
• src/mcp_talib/indicators/kama.py:20-31 (helper)

  Core implementation of KAMA calculation using TA-Lib's ta.KAMA function.
  async def calculate(self, market_data: MarketData, options: Dict[str, Any] = None) -> IndicatorResult: if options is None: options = {} timeperiod = options.get("timeperiod", 10) close = np.asarray(market_data.close, dtype=float) try: out = ta.KAMA(close, timeperiod=timeperiod) return IndicatorResult(indicator_name=self.name, success=True, values={"kama": out.tolist()}, metadata={"timeperiod": timeperiod, "input_points": len(close), "output_points": len(out)}) except Exception as e: return IndicatorResult(indicator_name=self.name, success=False, values={}, error_message=str(e))
• src/mcp_talib/indicators/__init__.py:32-32 (registration)

  Registration of KAMAIndicator class in the central indicator registry.
  registry.register("kama", KAMAIndicator)
• src/mcp_talib/core/mcp_server.py:64-69 (schema)

  Tool specification schema in dynamic MCP server, defining params and defaults for calculate_kama.
  "kama": { "description": "Kaufman Adaptive Moving Average (KAMA)", "params": {"close": List[float], "timeperiod": int}, "defaults": {"timeperiod": 10}, "market_data_args": {"close": "close"}, },