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Retrieve academic paper metadata by DOI or keyword search via Crossref.
The material indicates a narrowly scoped tool for retrieving academic literature metadata via the Crossref REST API. It is open-source under MIT and requires no credentials, but it does execute local code and sends requests to an external academic API, so the overall posture is low-to-moderate risk with caution rather than high risk.
The material explicitly states that no keys or environment variables are required. No API token, account, or other sensitive credential is requested, so credential exposure and abuse risk appears low.
The description says it retrieves DOI/search results via the Crossref REST API, which implies outbound network requests and possible transmission of user queries to Crossref. Although no host is explicitly listed, this egress is consistent with the stated functionality and is a normal caution point for this type of tool.
The system flags code execution, meaning a local MCP service process will run. The provided material does not show unusually privileged actions beyond its stated purpose, but local execution should still be treated with normal caution.
The material does not claim any need to read or write specific local files, databases, or system resources, and its apparent data scope is narrow—mainly handling user queries and returning literature metadata. Still, as a locally running MCP tool, the actual file/process access boundaries should be verified in the implementation.
Positive signals include being open-source, auditable, and MIT-licensed. However, it comes from a third-party registry, has 0 stars, and its maintenance status is unknown, which limits trust. There is no clear red flag such as opaque exfiltration or obvious malicious behavior, so caution is more appropriate than high risk.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "crossref-mcp" yet — see the docs or source repo.
Use Crossref to retrieve metadata for DOI 10.1038/s41586-023-06291-2, and summarize the title, authors, journal, publication date, publisher, and citation format.
Returns the paper’s core metadata for that DOI, plus a ready-to-use citation format.
Use Crossref to search for literature related to “large language model evaluation” and list the 5 most relevant papers with title, authors, year, DOI, and journal source.
Provides a topic-matched paper list for quick screening and further reading.
I have a list of DOIs. Use Crossref to enrich each entry with title, authors, journal name, volume, issue, pages, and publication year, then organize the results into a table.
Generates a structured bibliography table for reference management or data analysis.
Search and retrieve CrossRef scholarly metadata for fast cross-disciplinary literature discovery.
Resolve DOIs, search scholarly works, and retrieve reference metadata via Crossref.
Search academic literature across major databases and manage references efficiently.
Search and cross-reference prior art across papers, patents, books, and standards.
Search academic papers, fetch metadata in bulk, and discover citation-based recommendations.
Search, retrieve, and analyze academic papers across sources with structured outputs.