"Khan Academy" matching MCP servers:

A dev-time MCP server that lets coding agents read documentation directly from installed @particle-academy/\* packages, ensuring version-matched docs without network calls.

A starter MCP server with a working 'greet' tool and stub examples for notes/FAQ search, built for the NextFlows Academy cohort program to extend with custom tools.

MCP server that enables AI programming tools to search, read, and use a remote library of 180+ professional development skills, with incremental caching and network acceleration for fast access.

This server enables agents to author fancy-flow workflows headlessly on a TypeScript host, with the same tools as the PHP version.

A Model Context Protocol plugin that helps AI assistants maintain persistent project context through structured markdown files, providing a systematic approach to tracking project goals, decisions, progress, and patterns.

Provides persistent, searchable memory for AI agents across any MCP-compatible client, storing project context, user preferences, and session learnings locally in SQLite with tools to save, retrieve, search, and manage them.

A TypeScript MCP server boilerplate providing example tools and resources for rapid development and testing of Model Context Protocol servers.

Enables AI assistants to search and retrieve Magic: The Gathering card data through the Scryfall API. Supports card searches, random card generation, autocomplete, set listings, and rulings lookup.

Hey @roocode community! I'm thrilled to share a project born from my work with Roocode and the vision of an AI-powered development team: the Anubis MCP Server! This system is heavily inspired by Roocode and designed to orchestrate an AI development workflow based on agile methodology. It simulates

An MCP server for converting between document formats (DOCX/PDF to Markdown and Markdown to DOCX) with academic styling support.

Enables AI assistants to interact with InterSystems IRIS databases through SQL queries, document management, ObjectScript execution, debugging, and unit testing via the Atelier REST API.

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A template for building MCP servers that supports both HTTP transport with Bearer token authentication and stdio-based connections for local clients like Codex and Claude. It provides a foundational structure for practicing secure authentication and tool integration within the Model Context Protocol.

Enables Gemini AI to interact with a FastAPI application through MCP tools for user management, task management, and dice rolling functionality. Provides natural language access to REST API endpoints including CRUD operations, health checks, and application statistics.

Enables deployment of MCP servers on Cloudflare Workers without authentication requirements. Allows connection from both web-based AI playgrounds and desktop clients like Claude through a remote proxy.

A production-ready starter template for building Model Context Protocol (MCP) servers with TypeScript. Includes automated tooling for creating new MCP tools, testing, and deployment to Claude Desktop.