"Semantic search, RAG, and memory systems" matching MCP servers:

Enables external AI agents to query and retrieve context from locally ingested technical books through native function-calling tools, with hybrid search, reranking, and optional GraphRAG traversal.

Enables MCP clients to search and retrieve academic papers, explore citation networks, inspect author profiles and publications, and generate paper recommendations through the Semantic Scholar API, including batch operations and customizable fields.

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.

Enables searching across UMass Lowell domain for people, website content, places, news, and parsing URLs into markdown.

Enables searching and downloading academic papers from multiple sources including arXiv, PubMed, bioRxiv, Google Scholar, and Semantic Scholar. Provides standardized tools compatible with OpenAI Deep Research and ChatGPT connectors.

Enables accurate Quranic verse search through natural language queries, returning exact text with no hallucinations.

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 AI clients to search BUPT byrdocs materials, past exam papers, and freshmen knowledge base via natural language.

Enables beginner-friendly Python and Pybricks development support through RAG-powered tools that search official documentation, suggest code snippets, and provide version-aware guidance for LEGO robotics programming.

Enables personalized AI tutoring by allowing students to upload PDF/DOCX study materials that are processed and indexed for semantic search. Provides intelligent responses based on the student's own learning materials using RAG technology.

Enables users to find books by keyword, ISBN, or author and check which branches hold copies of them and whether those copies are currently available for loan or when they are due back. Currently covers Shanghai's interlinked public library network of 900+ locations, with a design open to additional cities.

Enables Claude and ChatGPT to share a single study-progress database for interview prep, coursework, and spaced repetition, with per-user data isolation and server-side SM-2 scheduling for due reviews and study plans.

A local MCP server that helps you maintain a personal Japanese learning knowledge base, including vocabulary, confusion relations, mistakes, and spaced-repetition reviews. It provides tools and prompts for managing and reviewing your Japanese learning data without calling external LLM APIs.

A server for querying, practicing, and analyzing exam questions from Taiwan's national examinations, offering 20 tools including search, statute lookup, weak topic review, and readiness assessment.

A set of tools enabling AI agents to interact with Canvas LMS, allowing users to find relevant resources, get course information, and navigate modules through natural language queries.

Enables AI agents and users to search institutional knowledge, retrieve policies and academic regulations, compare document versions, and generate grounded answers with verified citations through MCP tools, resources, and prompts.

Enables bidirectional lookup of Mi'kmaq and English words with definitions and examples, and provides tools for learning and dictionary statistics, integrating seamlessly with AI-powered IDEs.

Enables MCP clients to look up Bible verses, perform semantic search, and access original-language word study through a local Concord instance, providing accurate citations and honesty about uncertainty.

A local-first multilingual dictionary, thesaurus, translation, lexical-relations, semantic-neighbour, and English wordplay server for the Model Context Protocol (MCP). It operates fully offline with read-only query access and no data mutation while running.

Sansfiction library search and management

Enables AI agents to search and retrieve opportunities from the Opportunities Circle catalog, including scholarships, fellowships, internships, grants, jobs, and more. Supports filtering by type, country, funding, and tags, with full details and official apply links.

Enables AI assistants to search and read Materio's educational PDF resources directly, without manual file uploads.

Provides AI agents structured access to the Gospel Library — scriptures, General Conference talks, handbooks, manuals, and magazines — with local semantic search.

Provides read-only MCP tools to search and retrieve evidence-grounded knowledge compiled from video content, including hybrid semantic and lexical search with citations.

Enables Claude to query DataGSM's student, club, meal, and schedule data, as well as search documentation and guide OAuth flows.

MCP server to search and retrieve regulations from 14 Korean universities' regulation management systems. Supports querying, listing, and viewing full text or specific articles.

A technical interviewer that ingests GitHub repos, teaches you your own code, and conducts mock interviews with persistent memory of your weak spots.

Enables Japanese word lookup and search using the Jisho.org dictionary, providing tools to search entries and retrieve exact word definitions with JLPT levels and parts of speech.

An MCP server that enables the creation of Canvas Common Cartridge (.imscc) packages from structured course data using the canvas_cc Ruby gem. It allows users to programmatically build course content including modules, assignments, and rubrics for import into compatible Learning Management Systems.

Enables AI assistants to read a student's own university academic data — class timetables, exam schedules, grades, available terms, and empty classrooms — from Qiangzhi (jsxsd) or Zhengfang V9 systems via a session imported from the browser. All access is strictly read-only, never performing course selection, withdrawal, or evaluations.