Learning & Documentation MCPサーバー

Scenext

Generates educational explanation videos based on topics using the Scenext AI video generation platform.

Calculator

Provides a suite of mathematical functions accessible via a Model Context Protocol (MCP) server.

Simple Server Setup

Demonstrates calculator operations via Server-Sent Events (SSE) and Standard Input/Output (STDIO) client-server communication modes.

FakeStore

Demonstrates a complete e-commerce application integrating the Model Context Protocol with the FakeStore API.

Psaboia Example

Provides a playground environment for experimenting with and extending a TypeScript-based server.

Lspace Docs

Transforms dispersed documents into a unified, searchable knowledge base.

Client Example

Demonstrates a simple client-server implementation using the Model Context Protocol (MCP).

MediaWiki

Enables AI assistants to interact with MediaWiki instances using the MediaWiki API.

DocNav

Enables large language models to intelligently read, process, and navigate long-form documents.

Lspace

Turns scattered AI conversations into persistent, searchable knowledge by capturing insights from any AI session and making them available across all your tools.

Fichador

Generates structured reading summaries by searching and extracting content from educational articles on todamateria.com.br.

Weather

Provides weather information through a Model Context Protocol (MCP) compatible server by leveraging Ollama's Large Language Model capabilities.

LangChain

Provides real-time access to LangChain documentation, API references, and code examples through dual server modes.

Zendesk Help Center Anon

Access Zendesk Help Center content anonymously through a standardized MCP server interface.

Python Tutorial

Provides a tutorial app for Model Context Protocol (MCP) in Python, demonstrating core MCP concepts with a simple local database.

RAGFlow Claude Desktop

Integrates RAGFlow's knowledge base querying and document management capabilities directly into Claude Desktop.

Ragdoc

Augment AI responses with relevant context by retrieving and processing documentation through vector search.