"A platform for finding academic research and scholarly articles" matching MCP servers:

Unified scholarly search across 60+ academic sources with citation formatting (CMOS 18, SBL 2, APA 7, Turabian 9) and AI-powered research tools.

Enables users to search for academic articles on platforms like arXiv using specific keywords, with plans to integrate more scholarly databases in the future.

Enables deterministic, harness-neutral research workflows by unifying research object identity, evidence receipts, claim-evidence graphs, and append-only decision logs, along with specialized scholarly skills for literature analysis, reproducibility audits, and multi-agent review.

Enables AI agents to search academic papers, analyze citations and authors, track trending research, and find semantically related work using free scholarly sources.

Enables AI assistants to directly access quant research knowledge, including factor libraries, strategy backtesting, and research reports, through the MCP protocol.

Read WeChat (微信) Official Account articles with native multimodal output — body, images, and video keyframes returned as MCP content blocks. Handles all three embed types: Tencent Video, WeChat-native, and Channels (视频号 metadata via public API).

Enables users to search, download, and read academic papers from multiple platforms including arXiv, PubMed, bioRxiv, Google Scholar, Semantic Scholar, and CrossRef through a unified interface.

Unified academic search MCP server that searches open literature (arXiv, bioRxiv, medRxiv, PMC), CNKI, and Web of Science, with browser-backed authentication, local paper library, and export to multiple formats.

Enables AI tools to search and retrieve data from various South Korean and Japanese academic databases, including research journals, historical records, and legislative information.

Provides 11 composable MCP tools for A-share market research, covering quotes, news, technical signals, sector performance, portfolio risk, backtesting, and paper trading, with traceable data sources and calculation basis.

Enables a local academic research workflow via any MCP client: literature search across Scopus and OpenAlex, citation chains, per-project research memory, paper download, and PDF-to-Markdown conversion through MinerU.

Enables searching academic literature via Semantic Scholar with relevance filters, batch metadata retrieval, and citation-graph recommendations.

A multi-step academic figure agent harness that enables AI agents to plan, generate, evaluate, and iterate publication-grade figures from sources like PMIDs, preprints, or freeform briefs.

Enables students, researchers, and institutions to automate the creation, structuring, iterative versioning, and methodology validation of formal academic thesis and research proposals.

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 sophisticated academic manuscript revision system that provides surgical, line-anchored editing tools through MCP, designed for precise manuscript revisions while maintaining word count and semantic integrity.

MCP server that integrates GitHub, Brightspace, Outlook, and local files, enabling natural language queries for assignments, grades, emails, calendar events, repositories, and file operations.

MCP server for academic research using the OpenAlex API, enabling article search, details retrieval, and author profile lookup.

Enables AI assistants to search across multiple academic databases (PubMed, arXiv, bioRxiv, medRxiv, Semantic Scholar) through a unified interface. Supports advanced filtering, metadata retrieval, PDF downloads, and comprehensive research workflows with citation analysis.

Enables federated multi-source research by fanning out queries across web, community, and social sources, deduplicating and interleaving results, and storing a persistent corpus for cross-checking.