Learning & Documentation MCP Servers

Context7

Provides up-to-date, version-specific code documentation directly into Large Language Models and AI code editors to improve code generation accuracy.

Example

Demonstrates how to implement a Model Context Protocol (MCP) server in Python.

Effect

Provides tools for efficiently accessing Effect documentation.

The Way Of Code

Infuses principles of vibe-coding, based on Rick Rubin's adaptation of the Tao Te Ching, into AI-driven development sessions.

Self

Connects AI assistants to a personal self-awareness framework, linking daily actions to core motivations.

Shoplazza

Retrieves comprehensive documentation for Shoplazza LessJS components for use within Cursor's Model Context Protocol.

Deepwiki

Crawls Deepwiki URLs, converts relevant content into standardized Markdown, and provides it in various formats for AI processing.

C# SDK Tutorial

Demonstrates Model Context Protocol (MCP) server implementation using the C# SDK, with additional examples for resources and prompts.

NicePay

Provides a Model Context Protocol (MCP) server for easy access and search of NicePay API documentation and code samples.

School Attendance & GitHub

Manages school attendance records and enables GitHub repository operations through a unified MCP server.

Simple Server Setup

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

Terraform Provider Docs

Indexes and serves Terraform/Tofu provider documentation from local Git repositories to enable accurate, context-aware code generation.

Servers

Provides a simple Node.js and TypeScript-based server project with a basic tutorial.

Mix

Provides a foundational server implementation for Dremio's Materialized Centralized Processing (MCP) protocol, enabling file-based data interactions.

Zendesk Help Center Anon

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

Memex

Equips large language models with persistent memory and knowledge retrieval capabilities through semantic search over markdown vaults.

Arxiv Search

Enables LLMs to search and retrieve academic papers from arXiv, providing cleaned titles, abstracts, and content.

Docs Search

Provides LLM clients with dynamic access to up-to-date implementation details and documentation from popular AI libraries like LangChain, LlamaIndex, and OpenAI.

Huoshui PDF Translator

Translates academic PDF documents, preserving mathematical formulas and original layout with intelligent assistance.

Contexto

Makes project documentation accessible to AI assistants for enhanced contextual understanding.