Learning & Documentation MCP Servers

Anki

Connects Claude Desktop to Anki to analyze and manage learning using leech-tagged cards.

Context Compose

Define, compose, and manage granular contexts for large language models, ensuring consistent and high-quality results across AI-powered development tasks.

Strands

Indexes Strands Agents documentation into Elasticsearch, serving it via an MCP server for AI platforms and IDEs.

Gopq

Offers a Go library for implementing post-quantum cryptographic algorithms such as ML-DSA for digital signatures and ML-KEM for key encapsulation.

Cricket Prediction

Demonstrates building a Model Context Protocol (MCP) server in Python to expose custom tools and resources to large language models (LLMs) and MCP clients.

Livewire Flux

Provides structured access to Livewire Flux Components documentation from fluxui.dev for AI assistants.

Learning React

Provides a minimal server that pre-scrapes React learning documentation into DuckDB for hybrid search.

FastMCP Lab

Develops an MCP client to interact with tools, resources, and prompts exposed by an MCP server using the FastMCP framework.

Motiondesignlv

Serves markdown documents from a local directory, providing a simple interface for managing and accessing them using the Model Context Protocol (MCP).

Obsidian

Enables AI to control Obsidian notes through a local REST API and automate Git synchronization.

Neurolorap

Analyzes code and generates documentation for projects.

Awesome ZH

Curates a collection of resources, guides, and tools for the Multi-Channel Platform (MCP) community.

Date and Time

Offers a robust set of functionalities for retrieving date and time, accessing user profiles, and generating personalized greetings.

Payman AI

Provides access to Payman AI's documentation for AI assistants to aid developers with integration questions.

IDA Doc Hint

Provides IDA Pro documentation access via an MCP (Machine Code Processor) server to assist with plugin and script development.

Metal

Provides Metal Framework documentation search and code generation capabilities via the MCP protocol.

Intro

Explores Model Context Protocols (MCPs) through a practical, step-by-step guide to building a first custom MCP.

Ladeira Learning

Provides resources for learning how to build servers for connection to Large Language Models (LLMs) using Langchain.

Coding

Enables AI code assistants to generate up-to-date code by checking the latest library documentation.

Acronym

Ingests a CSV of acronyms and initialisms to provide a server-based lookup tool for their full meanings and descriptions.