"Glide" matching MCP servers:

Provides comprehensive design principles and best practices to help LLMs generate modern, accessible web pages through guidance on layouts, colors, and typography. It enables users to review design approaches and access expert recommendations for responsive design, component structure, and current industry trends.

Enables read-only visibility into Slide backup/BDR resources—accounts, agents, devices, networks, backups, snapshots, and restores—for AI assistants, while excluding secret-bearing fields and mutating operations.

Create designed Figma Slides by chatting with GitHub Copilot or Claude. It generates polished, multi-layout decks with 31 layouts and 17 design systems directly in Figma.

Lets an agent read what a user has selected in a browser-based deck editor and propose edits to slides, text, pictures, and connectors over MCP, with changes applied only after the user accepts. The same validated editing path also checks decks against lab slide rules and exports them to PowerPoint or a public URL.

Guides users to official WCAG and W3C resources for learning web accessibility, without providing its own explanations.

HTML Slide Studio MCP server enables agents to create, read, update, validate, and export Marp Markdown presentation decks, including asset management and secure offline HTML export with path traversal and symlink protections.

Local MCP server for collecting visual review feedback from a live local HTTP preview target. It serves a browser Review UI, stores region annotations, and exposes finalized review sessions to agents through MCP tools.

Orchestrates AI agents through structured markdown documents, enabling multi-agent workflows with automatic context injection and workflow management.

A semantic-memory MCP server that stores text 'memories' with provenance and enables recall by meaning (vector search), keyword (FTS5), or structured filters.

Enables workout tracking and coaching within Claude conversations, managing exercise configs, logs, streaks, and health metrics via an MCP server with PostgreSQL.

Helps AI agents answer XCS221 course logistics questions (e.g., deadlines, pacing, repositories) from static in-repo data without external APIs.

Improves AI agent task performance by providing task area segmentation, hierarchical RAG, and hybrid search capabilities.

A Model Context Protocol server that helps collect and structure project portfolio information through a guided conversation flow.

Enables AI tools to understand a database, inspect schema, and run safe SELECT queries with SQL guardrails, plus optional codebase reading.