"Academic Research Tools for Finding, Downloading, Reading, and Writing Articles" matching MCP servers:

Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.

Enables local EPUB reading with AI agents, supporting annotations, parallel editions, and MCP tools.

An MCP server for searching Zenn blog posts and generating frontend weekly content summaries.

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).

Exposes web search and page fetching tools via the MCP protocol, allowing integration with AI editors like Cursor for autonomous research workflows.

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

A 4-stage reading companion that helps users set reading goals, discover books, track progress, and deepen learning through reflection, integrated with Claude Desktop.

Provides local, deterministic scoring and detailed auditing of text for AI-writing patterns via two read-only tools, with no network calls or language models.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

A local MCP server for low-token co-reading: import a book, split it into chapter-sized chunks, read it chunk by chunk, and keep notes so a session can resume without re-reading the whole book.

Content writing toolkit for headline generation, readability scoring, tone analysis, outline building, and plagiarism similarity checking.

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.

Provides tools for AI models to search and retrieve information from five major Polish academic and government databases, including scientific articles and research datasets. It enables users to query platforms like Biblioteka Nauki and Repozytorium UJ through a standardized interface hosted on Cloudflare Workers.

A local MCP server that gives Claude a durable reading room for EPUB and plain text books, enabling chunk-by-chunk navigation, annotations, progress tracking, and shared margin cards.

Enables a shared reading room where users and Claude can import EPUB or text books, read chunk-by-chunk, annotate passages, search, track progress, and resume from unread sections.

A read-only FastMCP server for academic research that lets agents search papers, inspect metadata, follow citation graphs, generate BibTeX, and read full texts of open-access PDFs via semantic scholar, OpenAlex, arXiv, DBLP, and Crossref.

Enables AI models to search and retrieve bibliographic and digitized records from Swiss academic libraries (swisscovery, e-rara, e-periodica, e-manuscripta) via open protocols without requiring API keys.

An MCP server for academic literature research that integrates Scopus, CrossRef, OpenAlex, and Unpaywall to search documents, get abstracts, author profiles, citing papers, and open-access PDF links.

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

MCP server for web research using anti-detect Camoufox browser. Enables search, page reading (including JS/SPA), batch fetching, clicking, typing, and live browsing sessions with caching and retries.

Research methods, workflow tools, and independent review for AI agents, packaged as a Skill, plugin, and local MCP server.

An MCP server that enables AI assistants to call statistician's decision logic for recommending statistical tests, checking assumptions, interpreting results, and planning sample sizes.

Enables users to conduct evidence-driven product research through MCP by importing documents, extracting JavaScript code clues, recording cited facts and inferences, tracking validation, managing research lifecycles, and exporting Markdown or JSON reports. It provides 25 MCP tools for turning source materials into traceable research findings and verification plans.

Enables exporting Apple Safari Reading List entries to JSON and adding new items via MCP on macOS.

MCP server that lints academic documents (APA/structure) from Google Docs JSON, offering tools to check structure, compact headings, and find placeholders like TODO or lorem. Complements the Google Documents MCP server.

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.

Enables researching YouTube channels and videos by listing uploads, reading transcripts, extracting frames, and searching, without needing a YouTube API key.

Enables deterministic calculations for AI API and subscription costs, meeting time zones, recurring schedules, and cron next-run previews, returning normalized inputs, units, assumptions, dated sources, and links to results.

Enables AI agents to perform professional-grade deep research by aggregating real-time data from multiple sources, evaluating source credibility, and generating comprehensive reports.