"Exploring MCP Server Model Context Protocols for Research Paper Creation" matching MCP servers:

A Model Context Protocol (MCP) server that enables MCP clients like Claude Desktop to interact with protocols.io, a popular platform for sharing scientific protocols and methods.

Enables searching, downloading, and analyzing academic papers from arXiv and Semantic Scholar to extract key insights and citation metrics. It facilitates autonomous knowledge acquisition by processing research findings and integrating them into persistent AI memory systems.

A local MCP server for searching and reading arXiv papers, enabling paper search, retrieval, and summarization through Claude.

Provides paper search, PDF link retrieval, and content parsing for arXiv research papers, enabling seamless access to scientific literature through the Model Context Protocol.

A tool that helps users conduct comprehensive research on complex topics by exploring questions in depth, finding relevant sources, and generating structured, well-cited research reports.

Enables comprehensive academic research by searching and analyzing papers from PubMed, Google Scholar, ArXiv, and JSTOR. Provides full-text access, citation management, and research organization through five powerful consolidated tools.

Enables coding and research agents to run paid, cited deep research on AI infrastructure, MCP, and security topics via remote MCP tools, with query-tied excerpt packs and uncited or failed calls billed at $0.

Remotely-callable MCP server for academic paper search, full-text retrieval and image to LaTeX conversion across arXiv, Semantic Scholar, and OpenAlex.

A local-first database and assistant layer for organizing, analyzing, and retrieving research papers efficiently.

A remote MCP server for searching arXiv papers, extracting paper details, and generating structured prompts for LLM agents.

Enables retrieval of academic paper metadata, PDFs, full text, citations, and references by title via Semantic Scholar, arXiv, and other sources.

MCP server that turns DOI, URL, or paper titles into structured Markdown full-text with metadata and assets, enabling AI agents to read beyond abstracts.

MCP server for searching papers from top-tier and second-tier security conferences (S&P, USENIX Security, CCS, NDSS, ACSAC, RAID, ESORICS) using DBLP, with tools for keyword/author/year/conference search, listing conference papers, and getting statistics.

An academic research tool that enables users to search across nine major paper sources, rank results with AI-driven criteria, and automate paper notifications to multiple platforms. It streamlines literature management through integrated support for Zotero, Obsidian, and personal library website generation.

A universal paper downloader MCP that probes providers by DOI/identifier, downloads to a short-lived staging area, validates PDFs, and cleans up, while leaving final storage and management to the calling project.

Academic paper search and retrieval MCP server integrating multiple scholarly platforms into a unified interface. Supports search, fetch, trend analysis, and literature review workflows.

Your AI's research copilot. Searches 6 academic databases, downloads real PDFs, reads them cover to cover, extracts evidence, renders figures, syncs to Zotero.

A Model Context Protocol server for searching and downloading academic papers from multiple free and public sources, enabling LLM-driven academic research workflows.

Enables searching and downloading academic papers from multiple sources including arXiv, PubMed, bioRxiv, Google Scholar, and Semantic Scholar. Provides standardized tools for research workflows and OpenAI Deep Research integration.

Fetches recent papers and preprints from Europe PMC by query, enabling users to ask their AI assistant for the latest research in any field.