"Debugging WebRTC SDK Implementation Issues in Visual Studio 2019" matching MCP servers:

Enables agents to verify educational, scientific, and engineering visuals by extracting structured evidence and running domain-specific checks against specs and theory.

Enables automation of Cisco Packet Tracer simulations by placing devices, connecting links, and generating IOS configurations via MCP, ideal for network coursework and demonstrations.

Enables turning a photo or character description plus a story idea into an interactive, mobile-friendly landscape children's picture book with Lift-the-Flap pages, built as a self-contained HTML file and served locally over Wi-Fi.

Enables AI agents to look up HSK vocabulary, retrieve graded Chinese readings, and estimate the HSK level of Chinese text, with no API key required.

An MCP server that provides interactive 2D/3D math plotting, embedded CircuitJS circuit demonstrations, and locally rendered Manim slide videos for ChatGPT/Codex.

Enables learning and integration testing of the Model Context Protocol by evolving from a minimal server toward production-grade tools, resources, prompts, and agent interoperability.

Exposes a small catalog of programming study topics through the Model Context Protocol (MCP) for local learning.

Enables interaction with Zhejiang University's learning platform (学在浙大 / 智云课堂) via MCP tools, allowing natural language commands to check todos, view schedules, fetch lecture transcripts, and submit homework.

Enables offline King James Version Bible lookup, passage retrieval, word and phrase search, deterministic verse-of-the-day access, and book/chapter listing for AI assistants. All tools are read-only and return citable references with structured JSON.

Enables students and educators to connect ChatGPT, Claude, or another MCP client to the Skyward account they are already authorized to use, through a self-hosted deployment they control. It exposes read-only tools for report cards, gradebooks, academic history, attendance, schedules, test scores, fees, and graduation requirements.

Enables MCP clients to connect to a self-hosted Canvas LMS account to read courses, assignments, grades, modules, files, discussions, announcements, and Inbox messages, and to submit work or perform teacher actions with confirmation safeguards.

A basic educational MCP server that provides simple tools for mathematical calculations, text manipulation, and time retrieval. Designed for learning MCP implementation patterns and development purposes.

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

A minimal Model Context Protocol server built with the official Python SDK. It exposes one tool, define, which looks up the definition of an English word using the free dictionaryapi.dev API.

Exposes J-STAGE WebAPI as four tools for searching articles, issues, journals, and resolving DOIs, returning bilingual JSON with attribution.

Enables MCP clients to fetch supported languages and limitations, assess pronunciation from audio against reference text in ten languages, and explain returned assessment results locally.

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

Enables natural-language querying of the British Columbia K-12 curriculum, including Big Ideas, Curricular Competencies, Content standards, grade progressions, and cross-subject connections, grounded in official BC Ministry of Education data.

Enables AI assistants to read a student's own Blackboard (Ultra) data—courses, assignments, grades, announcements, and attachments—through their existing logged-in browser session, read-only and locally.

Enables an AI assistant to browse a signed-in school-communication account's classes, chats and message streams, inspect and adjust notification preferences and delivery devices, and send messages to a chat or class. Write actions require explicit user confirmation, and a read-only GraphQL tool allows arbitrary queries for anything the built-in tools don't cover.

Enables AI agents to draft and validate definitions files from notes, generate questions in GIFT or Moodle XML, and review or exclude them before importing into Moodle.

Enables AI agents to search for information and files in the UTN virtual classroom (aula virtual) by logging in with institutional credentials. Currently exposes tools to list courses and retrieve site information, with more planned.

Read-only MCP server that lets Jeonbuk National University students query their LMS in natural language, covering daily briefings, deadlines, announcements, assignments, and course materials while keeping credentials local.

Enables reading study data and downloading documents from HISinOne campus portals using the signed-in account.

Connect Claude and other MCP clients to your Smartschool account to ask about grades, assignments, messages, and your schedule in plain language.

A multi-account MCP server for NotebookLM that maintains sticky account and notebook per session. It uses the internal RPC to avoid logout issues and adds tools for account switching, notebook selection, and health checks.

Gives AI assistants direct, on-demand access to McGill's public Visual Schedule Builder timetable data, letting them search course offerings, fetch sections and meeting times, check conflicts, and generate ranked schedule combinations without a login, API key, or browser session. Queries and schedule calculations run locally on structured results, with a short-lived cache for repeated requests.

MCP server exposing pure mathematical operations (sum, subtraction, multiplication, division) as tools, with a clean layered architecture and optional OpenAI Agents SDK integration.

Enables access to ZEN University's syllabus content through MCP implementation, allowing users to get course recommendations and consultation about curriculum requirements via AI assistants.

A server implementation that connects to a locally running Anki, enabling card review and creation through the Model Context Protocol.