IACR Cryptology ePrint Archive MCP Server

IACR Cryptology ePrint Archive MCP Server

The IACR Cryptology ePrint Archive MCP Server solves a common pain point for researchers, developers, and AI assistants that need quick, programmatic access to the latest cryptographic literature. Instead of manually parsing RSS feeds or scraping web pages, this server exposes a clean MCP interface that lets AI tools query, filter, and retrieve paper metadata in seconds. By abstracting the underlying data source, it enables seamless integration into larger AI workflows—whether for literature reviews, automated citation generation, or building knowledge bases that stay up‑to‑date with the newest research.

At its core, the server offers two primary tools: and . The search tool accepts a query string, optional publication year, and a result limit, returning concise metadata such as title, authors, abstract snippet, and publication date. The detail tool takes a unique paper identifier and returns the full metadata set, including PDF links and author affiliations. These tools are intentionally lightweight yet powerful enough to support complex search queries that AI assistants can build on—such as filtering by author, venue, or publication year—all without exposing the raw RSS feed to the client.

Key features of this MCP server include:

• Instant search across thousands of cryptographic papers, leveraging the archive’s indexed data.
• Rich metadata retrieval, enabling downstream tasks like summarization, citation formatting, or trend analysis.
• Secure access to the archive’s public content, ensuring compliance with licensing and privacy considerations.
• Zero‑configuration deployment; the server automatically consumes the RSS feed, so developers can focus on building AI logic rather than data ingestion pipelines.

Real‑world use cases span academic research, cybersecurity product development, and AI‑powered knowledge assistants. For example, a security analyst can ask an AI assistant to “find recent papers on post‑quantum key exchange” and receive a curated list with links, while a research lab can automatically ingest new papers into its internal database for continuous literature monitoring. In educational settings, instructors can generate up‑to‑date reading lists for cryptography courses without manual curation.

Because it follows the MCP specification, this server plugs directly into any Claude or other AI platform that supports MCP. Developers can compose multi‑step prompts that first search for relevant papers, then fetch details, and finally ask the assistant to summarize or compare findings—all within a single conversational flow. The server’s simplicity, combined with its focused feature set, makes it an ideal building block for AI applications that need reliable access to cutting‑edge cryptographic research.