Scientific Calculator MCP Server

""" Scientific Calculator MCP Server - Production Ready 完全符合 MCP 规范的科学计算器服务器 支持通过标准输入输出（STDIO）进行 JSON-RPC 2.0 通信 This implementation strictly follows: https://modelcontextprotocol.io/docs/develop/build-server """ import json import sys import logging from typing import Any, Dict, List from dataclasses import dataclass, asdict from calculator import CALCULATOR_TOOLS import numpy as np # 配置日志到 stderr（不污染 stdout JSON-RPC 输出） logging.basicConfig( level=logging.WARNING, format='[%(levelname)s] %(message)s', stream=sys.stderr, force=True ) logger = logging.getLogger(__name__) @dataclass class JSONRPCRequest: """JSON-RPC 2.0 请求""" jsonrpc: str = "2.0" method: str = None params: Dict[str, Any] = None id: Any = None @dataclass class JSONRPCResponse: """JSON-RPC 2.0 响应""" jsonrpc: str = "2.0" result: Any = None error: Dict[str, Any] = None id: Any = None class MCPCalculatorServer: """符合 MCP 规范的计算器服务器""" def __init__(self): self.version = "1.0.0" self.name = "Scientific Calculator" self.tools = self._build_tool_definitions() def _build_tool_definitions(self) -> List[Dict[str, Any]]: """构建工具定义列表""" tools = [] # Consolidated tool definitions (3 tools) tool_definitions = { "symbolic_tool": { "description": "统一符号计算入口：simplify/expand/factor/derivative/integral/limit/solve/taylor/matrix", "params": [ {"name": "operation", "type": "string", "description": "操作类型，如 derivative, integral, solve 等"}, {"name": "expression", "type": "string", "description": "表达式", "optional": True}, {"name": "variable", "type": "string", "description": "变量", "optional": True}, {"name": "order", "type": "integer", "description": "阶数（导数/泰勒）", "optional": True}, {"name": "lower_limit", "type": "string", "description": "积分下限", "optional": True}, {"name": "upper_limit", "type": "string", "description": "积分上限", "optional": True}, {"name": "equation", "type": "string", "description": "方程", "optional": True}, {"name": "point", "type": "string", "description": "极限或泰勒展开点", "optional": True}, {"name": "matrix_data", "type": "string", "description": "符号矩阵（JSON）", "optional": True} ] }, "numpy_tool": { "description": "统一 NumPy 入口：数组归约、线性代数、三角、多项式", "params": [ {"name": "operation", "type": "string", "description": "操作类型，如 eigenvalues, sum, poly_eval 等"}, {"name": "array_data", "type": "string", "description": "数组数据（JSON）", "optional": True}, {"name": "axis", "type": "string", "description": "轴参数", "optional": True}, {"name": "matrix_a", "type": "string", "description": "矩阵A（JSON）", "optional": True}, {"name": "matrix_b", "type": "string", "description": "矩阵B（JSON）", "optional": True}, {"name": "values", "type": "string", "description": "三角函数输入（JSON）", "optional": True}, {"name": "use_degrees", "type": "boolean", "description": "角度制", "optional": True}, {"name": "coefficients", "type": "string", "description": "多项式系数（JSON）", "optional": True}, {"name": "x_values", "type": "string", "description": "多项式自变量数组（JSON）", "optional": True} ] }, "scipy_tool": { "description": "统一 SciPy 入口：积分、优化、插值、特殊函数、ODE、统计、FFT、特征分解", "params": [ {"name": "operation", "type": "string", "description": "操作类型，如 integrate, optimize_minimize, fft 等"}, {"name": "expression", "type": "string", "description": "表达式/函数", "optional": True}, {"name": "variable", "type": "string", "description": "变量", "optional": True}, {"name": "lower", "type": "string", "description": "积分下限", "optional": True}, {"name": "upper", "type": "string", "description": "积分上限", "optional": True}, {"name": "initial_value", "type": "string", "description": "初值/起点", "optional": True}, {"name": "method", "type": "string", "description": "算法方法", "optional": True}, {"name": "x_data", "type": "string", "description": "插值 x 数据（JSON）", "optional": True}, {"name": "y_data", "type": "string", "description": "插值 y 数据（JSON）", "optional": True}, {"name": "x_eval", "type": "string", "description": "插值求值点（JSON）", "optional": True}, {"name": "function", "type": "string", "description": "特殊函数名/统计操作名", "optional": True}, {"name": "parameters", "type": "string", "description": "特殊函数参数（JSON）", "optional": True}, {"name": "initial_conditions", "type": "string", "description": "ODE 初值（JSON）", "optional": True}, {"name": "t_values", "type": "string", "description": "ODE 时间点（JSON）", "optional": True}, {"name": "variables", "type": "string", "description": "ODE 变量名", "optional": True}, {"name": "data", "type": "string", "description": "统计或 FFT 数据（JSON）", "optional": True}, {"name": "params", "type": "string", "description": "统计附加参数（JSON）", "optional": True}, {"name": "data_series", "type": "string", "description": "FFT 数据（JSON）", "optional": True}, {"name": "matrix_a", "type": "string", "description": "矩阵（JSON）用于特征分解", "optional": True} ] }, } # 构建工具列表 for tool_name, definition in tool_definitions.items(): tools.append({ "name": tool_name, "description": definition["description"], "params": { "type": "object", "properties": { param["name"]: { "type": param["type"], "description": param["description"] } for param in definition["params"] }, "required": [ p["name"] for p in definition["params"] if not p.get("optional", False) ] } }) return tools def call_tool(self, tool_name: str, params: Dict[str, Any]) -> str: """调用计算器工具""" if tool_name not in CALCULATOR_TOOLS: raise ValueError(f"Unknown tool: {tool_name}") try: # 获取工具函数 tool_func = CALCULATOR_TOOLS[tool_name] # 调用工具函数 result = tool_func(**params) return str(result) except TypeError as e: return f"Parameter Error: {str(e)}" except Exception as e: return f"Execution Error: {str(e)}" def handle_rpc_request(self, request_dict: Dict[str, Any]) -> Dict[str, Any]: """处理 JSON-RPC 请求""" try: # 验证 JSON-RPC 2.0 格式 if request_dict.get("jsonrpc") != "2.0": return { "jsonrpc": "2.0", "error": { "code": -32600, "message": "Invalid Request" }, "id": request_dict.get("id") } method = request_dict.get("method") params = request_dict.get("params", {}) req_id = request_dict.get("id") # 处理特殊方法 if method == "initialize": return { "jsonrpc": "2.0", "result": { "protocolVersion": "2024-11-05", "capabilities": {}, "serverInfo": { "name": self.name, "version": self.version } }, "id": req_id } elif method == "tools/list": return { "jsonrpc": "2.0", "result": { "tools": self.tools }, "id": req_id } elif method == "tools/call": tool_name = params.get("name") tool_params = params.get("arguments", {}) result = self.call_tool(tool_name, tool_params) return { "jsonrpc": "2.0", "result": { "content": [ { "type": "text", "text": result } ] }, "id": req_id } else: return { "jsonrpc": "2.0", "error": { "code": -32601, "message": f"Method not found: {method}" }, "id": req_id } except Exception as e: logger.error(f"RPC Error: {e}") return { "jsonrpc": "2.0", "error": { "code": -32603, "message": f"Internal error: {str(e)}" }, "id": request_dict.get("id") } def run(self): """运行 MCP 服务器（STDIO 模式）""" logger.info(f"Starting {self.name} v{self.version}") logger.info(f"Registered {len(self.tools)} tools") try: while True: # 从标准输入读取 JSON-RPC 请求 line = sys.stdin.readline() if not line: # EOF break try: request = json.loads(line) response = self.handle_rpc_request(request) # 写入 JSON-RPC 响应到标准输出 sys.stdout.write(json.dumps(response, ensure_ascii=False) + '\n') sys.stdout.flush() except json.JSONDecodeError as e: # 发送 JSON 解析错误 error_response = { "jsonrpc": "2.0", "error": { "code": -32700, "message": "Parse error" } } sys.stdout.write(json.dumps(error_response) + '\n') sys.stdout.flush() except KeyboardInterrupt: logger.info("Server interrupted") except Exception as e: logger.error(f"Server error: {e}") sys.exit(1) def main(): """启动 MCP 服务器""" server = MCPCalculatorServer() server.run() if __name__ == "__main__": main()