paper_detail
Retrieve detailed information about a specific paper using its unique ID. Integrates with the MCP Scholar server to support research analysis and data extraction from Google Scholar.
Instructions
获取论文详细信息
Args:
paper_id: 论文ID
Returns:
Dict: 论文详细信息Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| paper_id | Yes |
Implementation Reference
- src/mcp_scholar/server.py:285-319 (handler)The MCP tool handler for 'paper_detail' that takes a paper_id, calls the helper get_paper_detail, processes the result (adding URLs), and returns success/error dict.
@mcp.tool() async def paper_detail(ctx: Context, paper_id: str) -> Dict[str, Any]: """ 获取论文详细信息 Args: paper_id: 论文ID Returns: Dict: 论文详细信息 """ try: # 移除进度显示 logger.info(f"正在获取论文ID为 {paper_id} 的详细信息...") detail = await get_paper_detail(paper_id) if detail: # 确保URL信息被返回 if "url" not in detail and detail.get("pub_url"): detail["url"] = detail["pub_url"] # 如果有DOI，添加DOI URL if "doi" in detail and "doi_url" not in detail: detail["doi_url"] = f"https://doi.org/{detail['doi']}" return {"status": "success", "detail": detail} else: # 移除错误通知 logger.warning(f"未找到ID为 {paper_id} 的论文") return {"status": "error", "message": f"未找到ID为 {paper_id} 的论文"} except Exception as e: # 移除错误通知 logger.error(f"获取论文详情失败: {str(e)}", exc_info=True) return {"status": "error", "message": "论文详情服务暂时不可用", "error": str(e)} - src/mcp_scholar/scholar.py:248-336 (helper)Core helper function that queries the OpenAlex API to fetch detailed paper information based on paper_id (supports DOI, OpenAlex ID, arXiv), processes abstract from inverted index, extracts authors, venue, DOI, PDF, concepts.
async def get_paper_detail(paper_id: str) -> Optional[Dict[str, Any]]: """ 通过OpenAlex API获取论文详情 Args: paper_id: 论文ID，可以是OpenAlex ID、DOI或ArXiv ID Returns: Dict: 论文详细信息 """ try: # 设置电子邮件参数（礼貌请求） email_param = f"?mailto={EMAIL}" if EMAIL else "" # 确定使用什么ID类型 if paper_id.startswith("10."): # 看起来是DOI api_url = f"{OPENALEX_API}/works/doi:{paper_id}{email_param}" elif paper_id.startswith("W"): # OpenAlex ID api_url = f"{OPENALEX_API}/works/{paper_id}{email_param}" elif paper_id.lower().startswith("arxiv:"): # arXiv ID api_url = f"{OPENALEX_API}/works/arxiv:{paper_id.replace('arxiv:', '')}{email_param}" else: # 尝试作为OpenAlex ID (不带前缀的) api_url = f"{OPENALEX_API}/works/W{paper_id}{email_param}" async with httpx.AsyncClient(timeout=10.0) as client: response = await client.get(api_url) if response.status_code == 200: data = response.json() # 提取论文详细信息 result = { "title": data.get("title", "未知标题"), "abstract": "", # 默认为空，稍后处理 "citations": data.get("cited_by_count", 0), "year": data.get("publication_year", "未知年份"), "venue": "", # 需要从期刊/会议信息中提取 "paper_id": data.get("id", "").replace("https://openalex.org/", ""), "url": data.get("id", ""), } # 处理摘要（OpenAlex 摘要是倒排索引格式） if data.get("abstract_inverted_index"): result["abstract"] = convert_inverted_index_to_text( data.get("abstract_inverted_index", {}) ) # 处理作者信息 authors = data.get("authorships", []) author_names = [] for author in authors: if author.get("author", {}).get("display_name"): author_names.append(author["author"]["display_name"]) result["authors"] = ", ".join(author_names) # 处理期刊/会议信息 if data.get("host_venue", {}).get("display_name"): result["venue"] = data["host_venue"]["display_name"] # 处理DOI信息 if data.get("doi"): result["doi"] = data["doi"] result["doi_url"] = f"https://doi.org/{result['doi']}" # 添加PDF链接（如果有） if data.get("open_access", {}).get("oa_url"): result["pdf_url"] = data["open_access"]["oa_url"] # 添加关键概念 if data.get("concepts"): concepts = [] for concept in data["concepts"]: if ( concept.get("display_name") and concept.get("score", 0) > 0.5 ): # 只添加相关性高的概念 concepts.append(concept["display_name"]) if concepts: result["concepts"] = ", ".join(concepts) return result else: print(f"获取论文详情错误: {response.status_code} - {response.text}") return None except Exception as e: print(f"获取论文详情时出错: {str(e)}") return None