MCP-DBLP

一个模型上下文协议 (MCP) 服务器，为大型语言模型提供对 DBLP 计算机科学书目数据库的访问。

<a href="https://glama.ai/mcp/servers/cm42scf3iv"> <img width="380" height="200" src="https://glama.ai/mcp/servers/cm42scf3iv/badge" alt="MCP-DBLP MCP 服务器" /> </a>

---

概述

MCP-DBLP 通过模型上下文协议将 DBLP（数字书目与图书馆项目）API 与 LLM 集成，使 AI 模型能够：

• 搜索和检索 DBLP 数据库中的学术出版物
• 处理引用并生成 BibTeX 条目
• 对出版物标题和作者姓名执行模糊匹配
• 提取和格式化书目信息
• 处理文档中嵌入的参考文献
• 直接 BibTeX 导出，绕过 LLM 处理，以实现最大准确性

特性

• 具有布尔查询的全面搜索功能
• 模糊标题和作者姓名匹配
• 直接从 DBLP 检索 BibTeX 条目
• 按年份和会议过滤出版物
• 出版物数据的统计分析
• 直接 BibTeX 导出功能，绕过 LLM 处理，以实现最大准确性

可用工具

工具名称	描述
search	使用布尔查询在 DBLP 中搜索出版物
fuzzy_title_search	使用模糊标题匹配搜索出版物
get_author_publications	检索特定作者的出版物
get_venue_info	获取有关出版物会议的详细信息
calculate_statistics	从出版物结果生成统计信息
export_bibtex	直接从 DBLP 将 BibTeX 条目导出到文件

反馈

通过此表格向作者提供反馈。

系统要求

• Python 3.11+
• uv

---

安装

1. 安装 MCP 兼容的客户端（例如，Claude Desktop app）

2. 安装 MCP-DBLP：

   git clone https://github.com/username/mcp-dblp.git
   cd mcp-dblp
   uv venv
   source .venv/bin/activate 
   uv pip install -e .  
   

3. 创建配置文件：

   对于 macOS/Linux：

   ~/Library/Application/Support/Claude/claude_desktop_config.json

对于 Windows：

   %APPDATA%\Claude\claude_desktop_config.json

添加以下内容：

   {
     "mcpServers": {
       "mcp-dblp": {
         "command": "uv",
         "args": [
           "--directory",
           "/absolute/path/to/mcp-dblp/",
           "run",
           "mcp-dblp",
           "--exportdir",
           "/absolute/path/to/bibtex/export/folder/"
         ]
       }
     }
   }

Windows: C:\\absolute\\path\\to\\mcp-dblp

---

提示

包含一个指令提示，应与包含引用的文本一起使用。在 Claude Desktop 上，指令提示可通过电源插头图标获得。

工具详情

search

使用布尔查询字符串在 DBLP 中搜索出版物。

参数：

• query (字符串，必需)：一个查询字符串，可以包含布尔运算符 'and' 和 'or'（不区分大小写）
• max_results (数字，可选)：要返回的最大出版物数量。默认为 10
• year_from (数字，可选)：出版年份的下限
• year_to (数字，可选)：出版年份的上限
• venue_filter (字符串，可选)：出版物会议的不区分大小写的子字符串过滤器（例如，'iclr'）
• include_bibtex (布尔值，可选)：是否在结果中包含 BibTeX 条目。默认为 false

fuzzy_title_search

使用模糊标题匹配搜索 DBLP 中的出版物。

参数：

• title (字符串，必需)：出版物的完整或部分标题（不区分大小写）
• similarity_threshold (数字，必需)：介于 0 和 1 之间的浮点数，其中 1.0 表示完全匹配
• max_results (数字，可选)：要返回的最大出版物数量。默认为 10
• year_from (数字，可选)：出版年份的下限
• year_to (数字，可选)：出版年份的上限
• venue_filter (字符串，可选)：出版物会议的不区分大小写的子字符串过滤器
• include_bibtex (布尔值，可选)：是否在结果中包含 BibTeX 条目。默认为 false

get_author_publications

检索特定作者的出版物详细信息，并进行模糊匹配。

参数：

• author_name (字符串，必需)：作者的完整或部分姓名（不区分大小写）
• similarity_threshold (数字，必需)：介于 0 和 1 之间的浮点数，其中 1.0 表示完全匹配
• max_results (数字，可选)：要返回的最大出版物数量。默认为 20
• include_bibtex (布尔值，可选)：是否在结果中包含 BibTeX 条目。默认为 false

get_venue_info

检索有关出版物会议的详细信息。

参数：

• venue_name (字符串，必需)：会议名称或缩写（例如，'ICLR' 或全名）

calculate_statistics

从出版物结果列表中计算统计信息。

参数：

• results (数组，必需)：出版物对象数组，每个对象至少包含 'title'、'authors'、'venue' 和 'year'

export_bibtex

直接从 DBLP 将 BibTeX 条目导出到本地文件。

参数：

• links
  

  (字符串，必需)：包含一个或多个 <a href=biburl>key</a> 链接的 HTML 字符串

  • 示例："<a href=https://dblp.org/rec/journals/example.bib>Smith2023</a>"

行为：

• 对于每个链接，BibTeX 条目直接从 DBLP 获取
• 仅引用键被替换为链接文本中指定的键
• 所有条目都保存到 --exportdir 指定的文件夹中的带时间戳的 .bib 文件中
• 返回保存文件的完整路径

重要提示： BibTeX 条目直接从 DBLP 获取，具有 10 秒的超时保护，并且不会由 LLM 处理、修改或虚构。这确保了书目数据的最大准确性和可信度。仅修改指定的引用键。如果请求超时，则输出中包含一条错误消息。

---

示例

输入文本：

Our exploration focuses on two types of explanation problems, abductive and contrastive, in local and global contexts (Marques-Silva 2023). Abductive explanations (Ignatiev, Narodytska, and Marques-Silva 2019), corresponding to prime-implicant explanations (Shih, Choi, and Darwiche 2018) and sufficient reason explanations (Darwiche and Ji 2022), clarify specific decision-making instances, while contrastive explanations (Miller 2019; Ignatiev et al. 2020), corresponding to necessary reason explanations (Darwiche and Ji 2022), make explicit the reasons behind the non-selection of alternatives. Conversely, global explanations (Ribeiro, Singh, and Guestrin 2016; Ignatiev, Narodytska, and Marques-Silva 2019) aim to unravel models' decision patterns across various inputs.

输出文本：

Our exploration focuses on two types of explanation problems, abductive and contrastive, in local and global contexts \cite{MarquesSilvaI23}. Abductive explanations \cite{IgnatievNM19}, corresponding to prime-implicant explanations \cite{ShihCD18} and sufficient reason explanations \cite{DarwicheJ22}, clarify specific decision-making instances, while contrastive explanations \cite{Miller19}; \cite{IgnatievNA020}, corresponding to necessary reason explanations \cite{DarwicheJ22}, make explicit the reasons behind the non-selection of alternatives. Conversely, global explanations \cite{Ribeiro0G16}; \cite{IgnatievNM19} aim to unravel models' decision patterns across various inputs.

输出 Bibtex

All references have been successfully exported to a BibTeX file at: /absolute/path/to/bibtex/20250305_231431.bib

@article{MarquesSilvaI23,
 author       = {Jo{\~{a}}o Marques{-}Silva and
                 Alexey Ignatiev},
 title        = {No silver bullet: interpretable {ML} models must be explained},
 journal      = {Frontiers Artif. Intell.},
 volume       = {6},
 year         = {2023},
 url          = {https://doi.org/10.3389/frai.2023.1128212},
 doi          = {10.3389/FRAI.2023.1128212},
 timestamp    = {Tue, 07 May 2024 20:23:47 +0200},
 biburl       = {https://dblp.org/rec/journals/frai/MarquesSilvaI23.bib},
 bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{IgnatievNM19,
 author       = {Alexey Ignatiev and
                 Nina Narodytska and
                 Jo{\~{a}}o Marques{-}Silva},
 title        = {Abduction-Based Explanations for Machine Learning Models},
 booktitle    = {The Thirty-Third {AAAI} Conference on Artificial Intelligence, {AAAI}
                 2019, The Thirty-First Innovative Applications of Artificial Intelligence
                 Conference, {IAAI} 2019, The Ninth {AAAI} Symposium on Educational
                 Advances in Artificial Intelligence, {EAAI} 2019, Honolulu, Hawaii,
                 USA, January 27 - February 1, 2019},
 pages        = {1511--1519},
 publisher    = {{AAAI} Press},
 year         = {2019},
 url          = {https://doi.org/10.1609/aaai.v33i01.33011511},
 doi          = {10.1609/AAAI.V33I01.33011511},
 timestamp    = {Mon, 04 Sep 2023 12:29:24 +0200},
 biburl       = {https://dblp.org/rec/conf/aaai/IgnatievNM19.bib},
 bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{ShihCD18,
 author       = {Andy Shih and
                 Arthur Choi and
                 Adnan Darwiche},
 editor       = {J{\'{e}}r{\^{o}}me Lang},
 title        = {A Symbolic Approach to Explaining Bayesian Network Classifiers},
 booktitle    = {Proceedings of the Twenty-Seventh International Joint Conference on
                 Artificial Intelligence, {IJCAI} 2018, July 13-19, 2018, Stockholm,
                 Sweden},
 pages        = {5103--5111},
 publisher    = {ijcai.org},
 year         = {2018},
 url          = {https://doi.org/10.24963/ijcai.2018/708},
 doi          = {10.24963/IJCAI.2018/708},
 timestamp    = {Tue, 20 Aug 2019 16:19:08 +0200},
 biburl       = {https://dblp.org/rec/conf/ijcai/ShihCD18.bib},
 bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DarwicheJ22,
 author       = {Adnan Darwiche and
                 Chunxi Ji},
 title        = {On the Computation of Necessary and Sufficient Explanations},
 booktitle    = {Thirty-Sixth {AAAI} Conference on Artificial Intelligence, {AAAI}
                 2022, Thirty-Fourth Conference on Innovative Applications of Artificial
                 Intelligence, {IAAI} 2022, The Twelveth Symposium on Educational Advances
                 in Artificial Intelligence, {EAAI} 2022 Virtual Event, February 22
                 - March 1, 2022},
 pages        = {5582--5591},
 publisher    = {{AAAI} Press},
 year         = {2022},
 url          = {https://doi.org/10.1609/aaai.v36i5.20498},
 doi          = {10.1609/AAAI.V36I5.20498},
 timestamp    = {Mon, 04 Sep 2023 16:50:24 +0200},
 biburl       = {https://dblp.org/rec/conf/aaai/DarwicheJ22.bib},
 bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{Miller19,
 author       = {Tim Miller},
 title        = {Explanation in artificial intelligence: Insights from the social sciences},
 journal      = {Artif. Intell.},
 volume       = {267},
 pages        = {1--38},
 year         = {2019},
 url          = {https://doi.org/10.1016/j.artint.2018.07.007},
 doi          = {10.1016/J.ARTINT.2018.07.007},
 timestamp    = {Thu, 25 May 2023 12:52:41 +0200},
 biburl       = {https://dblp.org/rec/journals/ai/Miller19.bib},
 bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{IgnatievNA020,
 author       = {Alexey Ignatiev and
                 Nina Narodytska and
                 Nicholas Asher and
                 Jo{\~{a}}o Marques{-}Silva},
 editor       = {Matteo Baldoni and
                 Stefania Bandini},
 title        = {From Contrastive to Abductive Explanations and Back Again},
 booktitle    = {AIxIA 2020 - Advances in Artificial Intelligence - XIXth International
                 Conference of the Italian Association for Artificial Intelligence,
                 Virtual Event, November 25-27, 2020, Revised Selected Papers},
 series       = {Lecture Notes in Computer Science},
 volume       = {12414},
 pages        = {335--355},
 publisher    = {Springer},
 year         = {2020},
 url          = {https://doi.org/10.1007/978-3-030-77091-4\_21},
 doi          = {10.1007/978-3-030-77091-4\_21},
 timestamp    = {Tue, 15 Jun 2021 17:23:54 +0200},
 biburl       = {https://dblp.org/rec/conf/aiia/IgnatievNA020.bib},
 bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{Ribeiro0G16,
 author       = {Marco T{\'{u}}lio Ribeiro and
                 Sameer Singh and
                 Carlos Guestrin},
 editor       = {Balaji Krishnapuram and
                 Mohak Shah and
                 Alexander J. Smola and
                 Charu C. Aggarwal and
                 Dou Shen and
                 Rajeev Rastogi},
 title        = {"Why Should {I} Trust You?": Explaining the Predictions of Any Classifier},
 booktitle    = {Proceedings of the 22nd {ACM} {SIGKDD} International Conference on
                 Knowledge Discovery and Data Mining, San Francisco, CA, USA, August
                 13-17, 2016},
 pages        = {1135--1144},
 publisher    = {{ACM}},
 year         = {2016},
 url          = {https://doi.org/10.1145/2939672.2939778},
 doi          = {10.1145/2939672.2939778},
 timestamp    = {Fri, 25 Dec 2020 01:14:16 +0100},
 biburl       = {https://dblp.org/rec/conf/kdd/Ribeiro0G16.bib},
 bibsource    = {dblp computer science bibliography, https://dblp.org}
}

---

免责声明

此 MCP-DBLP 处于原型阶段，应谨慎使用。 鼓励用户进行实验，但在关键环境中的任何使用均由其自行承担风险。

---

许可证

该项目已获得 MIT 许可证的许可 - 有关详细信息，请参阅 LICENSE 文件。