"A query related to PDFs or PDF files" matching MCP servers:

Enables local LLMs to match lesson summaries or syllabus topics against PDF textbooks and manuals, returning the exact page ranges relevant to each topic along with brief explanations of why they matter. Runs entirely offline via Ollama embeddings and reasoning plus Tesseract OCR for scanned or image-only pages, so multi-hundred-page documents can be searched privately without API keys or cloud credits.

Enables AI assistants to plan and track McDonald's visits by locating stores, estimating commute calories, recommending nutrition-targeted menu combinations, monitoring orders, running spaced-repetition vocabulary practice during waits, and recording progress in a local dashboard.

A local MCP server for Canvas LMS that enables querying courses, assignments, grades, modules, and more from any MCP-compatible AI client.

Enables people and AI to read the same PDFs, arXiv papers, and GitHub documentation/code together by preserving source identity, page or line locations, and selected text so the current chat can explain the material in context.

Enables querying of a locally pinned snapshot of the Education-to-Workforce Indicator Framework — 99 indicators and 11.8M observations — to browse questions, describe metrics, resolve places, and fetch or rank data across national, state, county, and district levels.

MCP server that exposes a university course catalog to LLMs, enabling course search, prerequisite lookup, instructor details, and department directory through natural language.

Provides LLM assistants with course search, prerequisite lookup, instructor information, and prerequisite graph tools backed by a SQLite database, enabling AI-powered academic advising.

Provides intelligent access to a university course catalog with full-text search, prerequisite tracking, instructor lookups, and course comparison prompts.

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.

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.

MCP server that enables searching and retrieving Czech university theses from theses.cz, including full-text search, metadata, and direct PDF downloads with optional cookie-based authentication.

Enables AI agents to edit LaTeX documents with live PDF preview, commenting, and visual editing via the Model Context Protocol.

Enables MCP-capable agents to inspect a local Synthesizer installation, query local grids and APIs, find examples, plot grid spectra, and validate scripts, so answers are grounded in the user's actual environment.

Provides read-only access to StudyLife data including courses, notes, sessions, and learning goals, enabling MCP clients to query study information via natural language.

Provides a comprehensive creative thinking tool with methods like structured process, perspective shift, and constraint-based innovation to enhance divergent thinking.

Enables integration with LeetCode APIs to retrieve problems, contests, solutions, and user data, support daily challenges and advanced searches, and perform authenticated actions such as running or submitting code and managing notes.

Read-only MCP server that enables assistants to retrieve sourced dyscalculia prevalence figures with their study references (DOI or PMID where available), chart and table datasets, and plain descriptions of the five number-skill screening games. It lets users ask which study supports a given statistic and get citations and credit details without ever scoring or diagnosing a person.

Provides Chinese figurative language lookup backed by CC-CEDICT, helping to verify whether a word or phrase has recorded figurative usage or is a one-off creative expression.

Enables teams to automate certificate issuance and query engagement data from the thatsme platform via AI-powered tools like search_events and issue_certificates.

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

MCP server for education statistics of the Canton and City of Zurich (BISTA), providing tools to query pupil numbers, school district trends, secondary school profiles, nationality breakdowns, and gymnasium graduation rates.

MCP server that provides Turkish university preference guide data, enabling users to query provinces, universities, and program groups, and to search university programs with filters, while reminding users to verify results against official sources.

Enables an assistant to search and read AnkiWeb's shared-deck catalogue, download decks as .apkg files or Markdown, list the decks synced to your account, and publish a deck after a confirmed preview, all through your own AnkiWeb session. It can reuse a signed-in session from a local Chromium browser or open a login window, keeping credentials out of the server.

Enables MCP-compatible clients to access Digiforma's GraphQL API for managing trainees, training sessions, and executing arbitrary GraphQL queries or schema introspection.

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.

Injects the Code-Me brand identity, tone, and visual guidelines into LLMs with zero latency using built-in context files.

MCP server for districtapi.dev that enables AI assistants to look up US school district and school information by address, name, or ID, including schools near a location.

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 LLM clients and agents to produce realistic synthetic medical referral letter PDFs — a German Überweisungsbrief/Arztbrief or the same letter in another language — either from structured JSON with deterministic, seeded rendering or from a free-text description written by a configured LLM. Each call returns the finished PDF as an embedded resource plus the completed letter content and its seed as structured data.

Turns your PDFs into locally stored flashcards and quizzes, grades your answers, and schedules spaced-repetition reviews entirely on your machine.