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Search arXiv papers and retrieve full content in Markdown for analysis.
This MCP tool appears to search arXiv papers and retrieve full paper content as Markdown, with no declared credential requirement and MIT-licensed open source code, so overall risk is relatively low. However, it is flagged as executing code, and the repository has very low community adoption with unknown maintenance status, so basic source and dependency review is still advisable before use.
The materials explicitly state that no keys or environment variables are required. No API token, account credential, or other sensitive authentication input is requested, so credential exposure and abuse risk appears low.
The stated functionality involves searching arXiv papers and retrieving full paper content, which implies routine network requests to paper-source services. Although no specific remote host is listed and there is no explicit red flag of unrelated third-party exfiltration, the core capability inherently depends on network access, so query content may be sent to the relevant paper service.
The objective checks mark this tool as executes-code, meaning it has the normal MCP capability to run code/processes locally at runtime. This is an inherent property of such tools; the provided materials do not show requests for system privileges beyond its stated purpose, but it should still be run with least privilege.
No README or explicit data-access boundary is provided, so it cannot be confirmed whether the tool only fetches search results and returns Markdown or also caches/writes content locally. There is no clear evidence of overbroad access, but since it runs as a local MCP process, it is prudent to assume it may access user session inputs and downloaded content.
Positive factors include an auditable open-source repository and an MIT license, which lower risk. However, the source is only a third-party registry entry, the repo has 0 stars, maintenance is unknown, and no README is provided, so community validation and upkeep signals are weak; this warrants caution but not a high-risk rating by itself.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Paper Reader MCP" yet — see the docs or source repo.
Search arXiv for the latest papers on multimodal large model reasoning, sort by submission date descending, limit to cs.AI, return the top 10 with title, authors, abstract, and link.
A time-sorted list of matching papers with key metadata and access links.
Retrieve the full content of this arXiv paper and convert it to Markdown, preserving section headings, formula placement notes, and reference structure for later summarization.
A well-structured Markdown version of the full paper for reading and downstream processing.
Search arXiv for papers on retrieval-augmented generation, use smart sorting, filter to cs.CL and cs.IR, paginate through the top 30 results, and highlight the 5 most worth reading first.
Paginated paper results with recommended priorities and brief selection rationale.
Search arXiv papers, fetch metadata, browse categories, and read full text.
Search ArXiv papers, inspect details, track categories, and explore author networks.
Search, read, and summarize arXiv papers for faster research and study.
Search, download, and extract academic papers from many sources in one workflow.
Search and retrieve arXiv papers by topic, author, category, or ID.
Search arXiv and download papers through MCP for faster research access.