"Automated workflow for collecting, summarizing and translating trending research papers" matching MCP servers:

Enables agents to search, analyze, and explore arXiv academic papers with advanced multi-field search, author lookup, category browsing, citation extraction, and bibliography export.

An intelligent MCP server that helps development teams maintain high-quality project documentation by providing an AI-powered workflow for creating comprehensive specifications through requirements, design, and implementation documents.

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.

A bounded evidence review engine that ingests documents, extracts evidence for a given claim, detects contradictions, and produces auditable evidence packets without hallucinations or open-web research.

MCP server for technical research in the TOTVS Protheus ecosystem, enabling AI agents to query official documentation, community knowledge bases, and release notes through structured tools. It supports runtime error debugging and ADVPL code generation.

Provides access to OpenAlex's catalog of 240+ million scholarly works through 18 specialized tools for conducting literature reviews, analyzing citations, tracking research trends, and mapping the scholarly landscape including authors, institutions, and collaboration networks.

A version-aware cache for web research that stores and serves documentation references, preventing models from re-researching the same topics across sessions.

A remote MCP server for traceable research across JW.org and the Watchtower Online Library, providing tools for searching, retrieving articles, footnotes, cross-references, and daily texts with optional AI-powered synthesis.

Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.

Provides access to research paper topics and lists via a remote SSE server, enabling users to explore folders, topics, and execute prompts.

Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.

Facilitates searching and accessing programming resources across platforms like Stack Overflow, MDN, GitHub, npm, and PyPI, aiding LLMs in finding code examples and documentation.

A collection of MCP servers for Slack, Jira, Confluence, and release coordination to automate QA workflows and daily release status reporting.

Provides offline access to Ellen Gould Harmon's writings with full-text search, reference navigation, contextual retrieval, and PDF generation capabilities for academic research and study.

A stage-gated MCP server for processing academic papers, enabling sequential extraction of paper sections, methodology, results, and report generation through a controlled workflow with enforced tool visibility across stages.

Enables AI assistants to search arXiv's research repository, download papers, and access their content programmatically. Includes specialized prompts for comprehensive academic paper analysis covering methodology, results, and implications.

MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.

Provides AI assistants with access to University of Alabama at Birmingham's Research Computing documentation, enabling users to search and retrieve information about the Cheaha HPC cluster, SLURM job scheduling, storage systems, and available software tools.

Provides Large Language Models with real-time access to the latest documentation for Python libraries like Langchain, LlamaIndex, and OpenAI, enabling accurate and up-to-date code suggestions.

Enables AI assistants to search and retrieve documentation, component specs, theme guides, and CLI commands for the Meta Astryx Design System, providing structured tools and guidelines for coding agents.