"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.

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.

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.

Enables AI agents to conjugate verbs in 14 European languages via a hosted Rust API, requiring only a free API key.

MCP server that lets AI assistants access University of Waterloo LEARN course data (announcements, content, grades, assignments, outlines) and search past assessments in Google Drive.

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.

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

Provides an MCP interface for accessing YOKATLAS (Turkish Higher Education Council Atlas) data, enabling LLM applications like Claude to search and retrieve details about undergraduate and associate degree programs in Turkey.

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.

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.