"A server for finding academic or research papers" matching MCP servers:

Automates the full academic research pipeline from refining research questions to generating publication-ready reports, integrating with major AI clients.

Enables searching for upcoming academic conferences and events from WikiCFP by keywords, returning detailed information including dates, locations, submission deadlines, and related resources.

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

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.

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.

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

Enables AI assistants to connect directly to Saigon University's academic portal for natural-language queries about schedules, exams, grades, GPA simulation, tuition, course offerings, notifications, and graduation progress.

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.

Enables clients to retrieve random study tips remotely via a stateless MCP server deployed on Google Cloud Run.

Recommends study designs for a research question, states the identifying assumptions to verify, and returns runnable R, Python, or Julia code with a formatted citation for every source, drawn from methodological textbooks, an R package, and research articles on causal inference, econometrics, statistics, and machine learning.

Enables discovery, retrieval, summarization, comparison, methodology and limitation analysis, research gap identification, and local management of academic papers via arXiv and Gemini AI.

An MCP server that enables Claude to access paywalled scientific papers through your institutional login (Shibboleth/SAML SSO, EZProxy).

Enables Claude and other MCP-compatible clients to query Semantic Scholar and Crossref for scholarly works, retrieving metadata, abstracts, TL;DR summaries, and full-text links when available.

Enables LLM clients to look up, search, and count day-by-day academic schedule data for the Chennai campus AY 2026-27, including class-day progression (CD01–CD90), commencement, midterm and end-semester exam dates, holidays, faculty feedback and committee meetings, and working-Saturday timetable swaps. It also exposes the same dataset as an OpenAPI 3.1 REST API and serves the tools over stdio or SSE transports.

Enables AI agents to search, read, and cite Chinese academic papers from CNKI using HUST single sign-on, with support for full-text retrieval, BibTeX export, and PDF download.

Provides MCP clients with structured local access to Canvas LMS data—such as assignments, rubrics, module readings, feedback, and deadlines—for academic planning via stdio, using an authenticated browser session instead of an API token.

Enables AI agents to subscribe to a deterministic daily ethics feed drawn from a four-module curriculum and retrieve read-only tools, resources, and reflection prompts covering principles, case studies, and codes of conduct.

Enables AI assistants to interact with Hangzhou Dianzi University's academic system through automatic login and course schedule retrieval. Supports secure authentication and structured academic data access for HDU students.

Bridges AI assistants with the Zhengfang V-9.0 educational system (CAS + MFA), offering 15 tools for course, grade, and academic management.

Enables querying academic data such as subjects, degrees, locations, and schedules from Universitat Jaume I via MCP tools.

Enables querying academic data from Universitat Jaume I, including subjects, degrees, locations, and schedules, via MCP-compatible clients.

Connects a student's own Moodle account to Claude Code, Codex, ChatGPT and other AI clients, exposing courses, deadlines, assignments, quizzes, grades, attendance, materials, forums and groups through 55 tools. Supports reading materials and submitting assignments, with per-user tokens and write actions kept as separate, confirmable tools.

Connects Claude to Canvas LMS, enabling students to query their coursework, assignments, grades, deadlines, announcements, and calendar events through natural conversation instead of navigating the Canvas interface.

Exposes academic advising tools over stdio so an AI assistant can retrieve student profiles, transcripts, and curricula, check graduation requirements and requirement groups, calculate current and planned GPAs, and recommend retakes, courses, study plans, and career-to-specialization matches. All computations run deterministically in Python and return UNKNOWN rather than guessing when verified academic thresholds are missing.

Enables a ReAct agent to discover and execute registered tools over JSON-RPC, retrieving real data to produce traceable, evidence-backed answers for student academic queries.

Enables AI assistants to navigate, search, and analyze academic materials organized in cycles, semesters, and modules via Google Drive.

MCP server exposing a university course catalog with tools for searching courses, looking up prerequisites and instructors, and generating prerequisite graphs, plus resources and a prompt template for AI academic advisors.

Enables AI apps to read a student's Moodle courses, upcoming and overdue due dates, assignment submission statuses, course grades, gradebook items and announcements. It is strictly read only, so it can never submit, edit or delete anything.

Enables Claude Desktop users at the University of Ghana to read their own Sakai courses through safe, read-only tools — checking deadlines, announcements, calendars, assignments, feedback and grades, and extracting text and page images from lecture slides for study, planning and revision.

Enables AI apps to read a student's courses, due dates, grades, missing work, announcements, modules, discussions, syllabus, and calendar events in a read-only way. It cannot submit, edit, or delete anything, and credentials go only to the user's own school.