build_knowledge_graph
Automatically processes text data to assess quality, enrich information, and generate structured knowledge graphs with interactive visualizations.
Instructions
全自动构建知识图谱：自动评估数据质量、补全知识、构建图谱并生成可视化
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | 要处理的文本数据 | |
| output_file | No | 可视化输出文件名（可选） | knowledge_graph.html |
Implementation Reference
- kg_server_enhanced.py:219-290 (handler)The 'build_knowledge_graph_tool' function implementation in kg_server_enhanced.py, which serves as the handler for the 'build_knowledge_graph' MCP tool. It extracts entities and triples from the input text and saves a visualization.
async def build_knowledge_graph_tool(arguments: dict[str, Any]) -> list[TextContent]: """ 构建知识图谱（不进行质量评估、知识补全或其他内容增强） """ try: text = arguments.get("text", "") output_file = arguments.get("output_file", "knowledge_graph.html") if not text.strip(): return [TextContent( type="text", text=json.dumps({ "success": False, "error": "输入文本不能为空" }, ensure_ascii=False, indent=2) )] start_time = time.time() # 直接构建知识图谱 kg_result = await kg_builder.build_graph(text, use_llm=True) # 检查是否成功提取到实体和三元组 if not kg_result["entities"] and not kg_result["triples"]: return [TextContent( type="text", text=json.dumps({ "success": False, "error": "无法从输入文本中提取到有效的实体或关系", "suggestion": "请尝试输入包含明确实体和关系的文本" }, ensure_ascii=False, indent=2) )] # 生成可视化 visualization_file = kg_visualizer.save_simple_visualization( kg_result["triples"], kg_result["entities"], kg_result["relations"], output_file ) abs_path = os.path.abspath(visualization_file) visualization_url = f"file:///{abs_path.replace(os.sep, '/')}" http_url = f"http://localhost:8000/{visualization_file}" server_info = f"可手动启动HTTP服务器访问：在项目目录运行 'python -m http.server 8000'，然后访问 {http_url}" processing_time = time.time() - start_time # 构建结果 result = { "success": True, "input_text": text, "processing_time": round(processing_time, 3), "knowledge_graph": { "entities_count": len(kg_result["entities"]), "relations_count": len(kg_result["relations"]), "triples_count": len(kg_result["triples"]), "entities": kg_result["entities"], "relations": kg_result["relations"] }, "visualization": { "file_path": visualization_file, "file_url": visualization_url, "http_url": http_url, "server_info": server_info } } return [TextContent( type="text", text=json.dumps(result, ensure_ascii=False, indent=2) )] - kg_server_enhanced.py:84-88 (registration)Registration logic for 'build_knowledge_graph' within the server's tool handler dispatch logic in kg_server_enhanced.py.
tools = [ Tool( name="build_knowledge_graph", description="构建知识图谱：直接从文本提取实体与关系并生成可视化（不进行内容增强）", inputSchema={