bda56c8aa6
feat: 实现完整的 MCP 工具调用管道 - 让 Claude AI 真正调用 MCP 工具 核心功能: - MCP 工具发现: 从 MCP 服务器获取可用工具列表 (SSE 响应解析) - 工具转换器: 将 MCP 工具定义转换为 Claude API tools 格式 - tool_use 处理器: 处理 Claude 返回的工具调用请求 - MCP 调用器: 实际调用 MCP 工具并返回结果 - 多轮对话管理: 自动处理工具调用后的后续对话 测试验证: - ✅ 成功发现 11 个 Novel Translator MCP 工具 - ✅ Claude 智能选择工具并执行翻译任务 - ✅ 自动添加术语表并优化翻译结果 新增文件: - backend/mcp_client.py: MCP 客户端 + SSE 响应解析 - backend/tool_converter.py: MCP → Claude 工具格式转换 - backend/tool_handler.py: tool_use 响应处理器 - backend/conversation_manager.py: 多轮对话管理器 - backend/app.py: Flask 后端集成完整管道 - frontend/index.html: Web 聊天界面 Generated with [Claude Code](https://claude.ai/code) via [Happy](https://happy.engineering) Co-Authored-By: Claude <noreply@anthropic.com> Co-Authored-By: Happy <yesreply@happy.engineering> EOF )
94 lines
3.2 KiB
Python
94 lines
3.2 KiB
Python
"""
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AI MCP Web UI - 简化后端服务器
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使用 Python 内置 http.server 模块
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"""
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import os
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import json
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import http.server
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import socketserver
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from pathlib import Path
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# 配置
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PORT = int(os.getenv('PORT', 5000))
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FRONTEND_DIR = str(Path(__file__).parent.parent / 'frontend')
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class MCPHandler(http.server.SimpleHTTPRequestHandler):
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def __init__(self, *args, **kwargs):
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super().__init__(*args, directory=FRONTEND_DIR, **kwargs)
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def log_message(self, format, *args):
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print(f"[{self.log_date_time_string()}] {format % args}")
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def end_headers(self):
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self.send_header('Access-Control-Allow-Origin', '*')
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self.send_header('Access-Control-Allow-Methods', 'GET, POST, OPTIONS')
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self.send_header('Access-Control-Allow-Headers', 'Content-Type, X-Session-ID')
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super().end_headers()
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def do_OPTIONS(self):
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self.send_response(200)
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self.end_headers()
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def do_GET(self):
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if self.path == '/api/health':
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self.send_json_response(200, {
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"status": "ok",
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"message": "MCP Web UI Server (Simplified)",
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"frontend_dir": FRONTEND_DIR
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})
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elif self.path == '/api/mcp/servers':
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self.send_json_response(200, {
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"servers": [
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{"id": "novel-translator", "name": "Novel Translator MCP", "enabled": True},
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{"id": "novel-platform-user", "name": "Novel Platform User MCP", "enabled": False},
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{"id": "novel-platform-admin", "name": "Novel Platform Admin MCP", "enabled": False}
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]
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})
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else:
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super().do_GET()
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def do_POST(self):
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content_length = int(self.headers.get('Content-Length', 0))
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data = {}
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if content_length > 0:
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try:
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post_data = self.rfile.read(content_length)
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data = json.loads(post_data.decode('utf-8'))
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except:
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pass
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if self.path == '/api/chat':
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message = data.get('message', '')
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self.send_json_response(200, {
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"response": f"[简化服务器] 收到: {message}\n\n注意: 完整 AI 功能需要安装 Flask、Anthropic SDK 等依赖。",
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"model": "simplified-server"
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})
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elif self.path == '/api/auth/login':
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self.send_json_response(200, {
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"success": False,
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"message": "完整认证功能需要 Flask 支持"
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})
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else:
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self.send_json_response(404, {"error": "Not found"})
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def send_json_response(self, code, data):
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self.send_response(code)
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self.send_header('Content-Type', 'application/json')
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self.end_headers()
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self.wfile.write(json.dumps(data, ensure_ascii=False).encode('utf-8'))
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def main():
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print("=" * 50)
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print(" MCP Web UI - 简化服务器")
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print("=" * 50)
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print(f" 端口: {PORT}")
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print(f" 前端: {FRONTEND_DIR}")
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print(f" 访问: http://localhost:{PORT}")
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print("=" * 50)
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with socketserver.TCPServer(("0.0.0.0", PORT), MCPHandler) as httpd:
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httpd.serve_forever()
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if __name__ == '__main__':
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main()
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