zcaceres/markdownify-mcp

AI Evaluation Report

Total Score: 9/10

The agent has demonstrated a strong ability to convert various types of content into markdown format, including webpages, PDF documents, and specific URLs. It consistently captures key elements such as titles, authors, abstracts, headings, and main points, maintaining the structure and content of the original sources. The agent also provides links to download the converted markdown files, which adds to its usability. However, there is a slight limitation in verifying the complete accuracy of the content without direct access to the original sources, especially for webpages. Overall, the agent performs its tasks effectively and accurately, showcasing its strengths in content conversion.

• Test case 1

  Score: 10/10

  Perform the operation of converting the webpage at https://arxiv.org/abs/2506.11180 into Markdown format.

  Beyond Formal Semantics for Capabilities and Skills: Model Context Protocol in Manufacturing

  arXiv:2506.11180 (cs)
  Authors: Luis Miguel Vieira da Silva, Aljosha Köcher, Felix Gehlhoff
  Submitted on: 12 Jun 2025

  Abstract

  Explicit modeling of capabilities and skills -- whether based on ontologies, Asset Administration Shells, or other technologies -- requires considerable manual effort and often results in representations that are not easily accessible to Large Language Models (LLMs). In this work-in-progress paper, we present an alternative approach based on the recently introduced Model Context Protocol (MCP). MCP allows systems to expose functionality through a standardized interface that is directly consumable by LLM-based agents. We conduct a prototypical evaluation on a laboratory-scale manufacturing system, where resource functions are made available via MCP. A general-purpose LLM is then tasked with planning and executing a multi-step process, including constraint handling and the invocation of resource functions via MCP. The results indicate that such an approach can enable flexible industrial automation without relying on explicit semantic models. This work lays the basis for further exploration of external tool integration in LLM-driven production systems.

  Subjects

  • Software Engineering (cs.SE)
  • Artificial Intelligence (cs.AI)
  • Emerging Technologies (cs.ET)
  • Systems and Control (eess.SY)

  Cite as

  arXiv:2506.11180 [cs.SE] (or arXiv:2506.11180v1 for this version)
  https://doi.org/10.48550/arXiv.2506.11180

  Submission history

  From: Aljosha Köcher []
  [v1] Thu, 12 Jun 2025 13:02:16 UTC (132 KB)

  Full-text links:

  • HTML (experimental)

  Bibliographic Tools

  • NASA ADS
  • Google Scholar
  • Semantic Scholar

  About arXivLabs

  arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

• Test case 2

  Score: 9/10

  Perform the operation of converting the PDF file located at https://arxiv.org/pdf/2506.11180.pdf into Markdown format.

  Beyond Formal Semantics for Capabilities and Skills: Model Context Protocol in Manufacturing

  Luis Miguel Vieira da Silva, Aljosha Köcher, Felix Gehlhoff
  Institute of Automation Technology, Helmut Schmidt University, Hamburg, Germany
  Email: {miguel.vieira, aljosha.koecher, felix.gehlhoff}@hsu-hh.de

  Abstract

  Explicit modeling of capabilities and skills – whether based on ontologies, Asset Administration Shells, or other technologies – requires considerable manual effort and often results in representations that are not easily accessible to Large Language Models (LLMs). In this work-in-progress paper, we present an alternative approach based on the recently introduced Model Context Protocol (MCP). MCP allows systems to expose functionality through a standardized interface that is directly consumable by LLM-based agents. We conduct a prototypical evaluation on a laboratory-scale manufacturing system, where resource functions are made available via MCP. A general-purpose LLM is then tasked with planning and executing a multi-step process, including constraint handling and the invocation of resource functions via MCP. The results indicate that such an approach can enable flexible industrial automation without relying on explicit semantic models. This work lays the basis for further exploration of external tool integration in LLM-driven production systems.

  Index Terms

  Model Context Protocol, MCP, Capabilities, Skills, Large Language Models, LLMs, Ontologies, Semantic Web

• Test case 3

  Score: 9/10

  Perform the operation of converting the PDF document available at 'https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200306-sitrep-46-covid-19.pdf' into markdown format.

  The PDF document has been successfully converted into markdown format. Here is a summary of the content included in the markdown output:

  Coronavirus disease 2019 (COVID-19)

  Situation Report – 46
  Data as reported by national authorities by 10AM CET 06 March 2020

  HIGHLIGHTS

  • 4 new countries/territories/areas (Bhutan, Cameroon, Serbia, and South Africa) have reported cases of COVID-19 in the past 24 hours.
  • WHO has provided a Q&A regarding the similarities and differences between COVID-19 and influenza.

  SITUATION IN NUMBERS

  • Globally:
    • 98,192 confirmed (2,873 new)
  • China:
    • 80,711 confirmed (146 new)
    • 3,045 deaths (30 new)
  • Outside of China:
    • 17,481 confirmed (2,727 new)
    • 335 deaths (69 new)
    • 88 Countries/territories/areas (4 new)

  WHO RISK ASSESSMENT

  • China: Very High
  • Regional Level: Very High
  • Global Level: Very High

  SUBJECT IN FOCUS: Q&A: Similarities and differences – COVID-19 and influenza

  • Both viruses cause respiratory disease and are transmitted by contact, droplets, and fomites.
  • Differences include transmission speeds, with influenza spreading faster and having a shorter incubation period.

  SURVEILLANCE

  Table 1: Confirmed and suspected cases of COVID-19 acute respiratory disease reported by regions in China. Table 2: Countries, territories, or areas outside China with reported laboratory-confirmed COVID-19 cases and deaths.

  STRATEGIC OBJECTIVES

  WHO’s strategic objectives for response include:

  • Interrupting human-to-human transmission.
  • Identifying, isolating, and caring for patients early.
  • Reducing transmission from the animal source.
  • Communicating critical risk and event information.

  PREPAREDNESS AND RESPONSE

  WHO is working closely with countries and providing technical guidance documents regarding COVID-19.

  RECOMMENDATIONS AND ADVICE FOR THE PUBLIC

  • If not in a spreading area, your risk is low.
  • In areas where COVID-19 is present, follow the advice of WHO and local health authorities.

  CASE DEFINITIONS

  • Suspect case: A patient with acute respiratory illness and a history of travel to affected areas.
  • Probable case: A suspect case with inconclusive test results.
  • Confirmed case: A person with laboratory confirmation of COVID-19.

  ---

  For the complete markdown content, you can access the output file .

• Test case 4

  Score: 9/10

  Perform the operation of converting the webpage from the URL 'https://www.nationalgeographic.com/environment/article/climate-change' into markdown format and summarize the main points.

  Markdown Conversion of the Webpage on Climate Change

  Title: Flood, Drought, and Climate Change Photos Summary: Scientists assert that Earth's changing climate accelerates glacier melting, increases the frequency of droughts, and leads to more violent storms, significantly altering water management practices.

  Main Points

  1. Climate Impact on Water Resources:
     • Climate change is linked to extreme weather patterns, including increased rainfall and severe droughts.
     • The changing climate is expected to have profound effects on freshwater availability.
  2. Visual Representation:
     • The article features a collection of photographs depicting the impacts of climate change on various environments, including flooded farmland and drought-stricken areas.
  3. Scientific Insights:
     • Scientists are concerned that climate change will worsen the frequency and intensity of water-related disasters, affecting agriculture and communities reliant on consistent water sources.
  4. Call to Action:
     • The narrative emphasizes the need for proactive measures in water conservation and management to mitigate the impacts of climate change.

  ---

  Related Topics

  • Water Conservation
  • Floods
  • Water Resources
  • Fresh Water
  • Glaciers
  • Hurricanes
  • Drought

  ---

  Images

  • Flooded Fields in Oakville, Iowa
  • Drought-stricken farmland
  • Calving glaciers and their implications

  ---

  Conclusion

  The National Geographic article on climate change serves as a poignant reminder of the urgent challenges posed by environmental changes, particularly regarding water management. The visual evidence and scientific commentary underscore the vital need for immediate action in addressing climate-related issues. For further reading, visit the full article here.

  Markdown File

  The content has been successfully converted into markdown format. You can access the markdown file using the following link: .

• Test case 5

  Score: 10/10

  Execute the task of converting the webpage 'https://en.wikipedia.org/wiki/Markdown' into markdown format and verify if the conversion includes all headings and a brief introductory paragraph.

  The conversion of the Wikipedia page on Markdown to markdown format has been successfully completed. The markdown file includes all the headings and a brief introductory paragraph. Here’s a summary of the key elements included:

  Introductory Paragraph

  Markdown is a lightweight markup language for creating formatted text using a plain-text editor. John Gruber created Markdown in 2004 as an easy-to-read markup language. Markdown is widely used for blogging, instant messaging, and also used elsewhere in online forums, collaborative software, documentation pages, and readme files.

  Headings

  The document has the following main headings, along with their corresponding subheadings:

  1. History
  2. Rise and Divergence
  3. Standardization
  4. Variants
     • GitHub Flavored Markdown
     • Markdown Extra
  5. Examples
  6. Implementations
  7. See Also
  8. Explanatory Notes
  9. References

  Accessing the Markdown File

  You can download or view the complete markdown file using the following link: .