Learning & Documentation Servidores MCP

PubNub

Exposes PubNub SDK documentation and API resources to Large Language Model (LLM)-powered tools, enhancing their ability to interact with PubNub.

Pylpex

Integrates the Pylpex programming language interpreter into external applications via a server.

Whats The Passphrase

Provides a Model Context Protocol (MCP) server example that generates random US state and signature soup combinations.

REST Sample

Provides Python sample code demonstrating integration between an MCP server and a REST API built with FastAPI.

README Generator

Enables LLMs to automatically analyze project structures and generate comprehensive, well-formatted README files.

Next.js Docs

Delivers official Next.js 16 documentation directly to AI assistants and editors to ensure accurate and up-to-date development guidance.

Calculator Learning Demo

Demonstrates the Model Context Protocol's deprecated HTTP + Server-Sent Events (SSE) transport for educational purposes.

Model Context Examples

Offers a collection of example server implementations for Model Context Protocol development, featuring real-time weather alerts and web search integration.

Docs

Automates the generation of OpenAPI 3.0 API documentation by analyzing Django REST Framework ViewSets.

Agentic Travel Planner

Orchestrates comprehensive travel planning by leveraging an agentic workflow, integrating multi-LLM support and essential travel tools through the Model Context Protocol.

Memory

Exposes local persistent memory as a server for AI agents to access and utilize knowledge.

SynapseFlow

Accelerates academic research by leveraging a multi-agent AI system for rapid literature reviews, citation analysis, and hypothesis generation across thousands of papers.

EduChain

Provides an MCP-compatible Flask server for Claude Desktop, leveraging the EduChain library to dynamically generate diverse educational content.

Server Builder

Provides searchable access to the official Model Context Protocol (MCP) and FastMCP framework documentation, assisting in the development of correct MCP servers.

Systemprompt

Implements a production-ready Model Context Protocol (MCP) server demonstrating the complete MCP specification including OAuth 2.1, sampling, elicitation, structured data validation, and real-time notifications.

Faulkner DB

Captures, queries, and analyzes architectural decisions, implementation patterns, and failures over time using a temporal knowledge graph system integrated with Claude Code/Desktop.

ProjectDocHelper

Automatically generates project documentation and serves it via MCP to improve AI development tool accuracy.

Repo Onboarding

Analyzes local Python repositories to generate and maintain practical `ONBOARDING.md` documentation for environment setup, dependencies, testing, and application execution.

Personal Notes

Offers concise, topic-wise notes on machine learning, combining mathematical foundations, practical perspectives, and architectural overviews with diagrams.

Content Engineering

Provides direct, unprocessed access to raw Markdown content for AI models and content pipelines.