Learning & Documentation MCP 서버

Peacock

Answers questions about the Peacock VS Code extension by fetching and querying its official documentation.

Azure Java SDK Assist

Provides readme and code samples for the Azure Java SDK to AI assistants via the Model Context Protocol.

DevBrain

Instantly searches for curated code, snippets, and indie developer articles to provide targeted insights.

Unified Docs Hub

Creates a massive, searchable knowledge base for AI assistants from curated and auto-discovered repositories.

Obsidian Memory

Stores AI memories as Obsidian-compatible Markdown files, enabling knowledge graph visualization.

JBang Examples

Demonstrates how to interact with Language Model (LLM) from MCP Servers using JBang, Quarkus, and Langchain4j.

Basic

Provides a basic Model Context Protocol (MCP) server that fetches weather information for educational purposes.

Context7 ChatGPT Bridge

Enables ChatGPT to access current programming documentation via the Context7 MCP server.

Coding Assistant

Provides context-aware code assistance, explanations, and suggestions directly related to local project files.

UseKeen

Streams up-to-date package documentation to AI coding assistants.

Ice Cream Topping Recommender

Demonstrates building interactive Model Context Protocol (MCP) tools with elicitation capabilities.

Developer Roadmaps

Provides programmatic access to a comprehensive collection of developer roadmaps and their detailed content.

Markdown Sidecar

Serves and provides structured access to markdown documentation for NPM packages, Go Modules, or PyPi packages from an MCP server.

Doxygen

Automates documentation generation from source code comments, parsing classes, functions, and variables to produce output in formats like HTML and PDF.

Synapse

Facilitates seamless collaboration between artificial and human intelligence, enhancing shared knowledge and operational efficiency.

For Programmer

Aids programmers in learning and understanding code through a Model Context Protocol server.

IqWiki

Provides Model Context Protocol (MCP) access to IQ.wiki data for use by AI assistants and other compatible clients.

Remote Call Ping-Pong

Demonstrates remote Model Context Protocol (MCP) calls using a Ping-Pong server implemented with FastAPI.

Better Fetch

Intelligently fetches and processes web content, transforming documentation sites and web resources into structured markdown files.

Diagram as Code

Validates and assists in authoring Mermaid.js diagrams for MCP clients by addressing common syntax issues.