Learning & Documentation Servidores MCP

ProudNet Documentation

Enables AI tools to access ProudNet documentation through an MCP server.

LangChain

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

Plurality

Provides a Model Context Protocol (MCP) server for deep interaction with Plurality concepts.

Canvas Student

Integrates Canvas LMS with LLM clients via the Model Context Protocol, enabling interaction with course content, assignments, and more through a natural language interface.

MCP Servers Hub

Centralizes the discovery, comparison, and implementation of Model Context Protocol (MCP) servers, ranked by community popularity.

Docs Retriever

Retrieves documentation snippets for AI/ML libraries by searching Google and extracting relevant content.

Muni

Provides access to municipal building codes and compliance data, assisting with professional regulatory adherence.

Wikipedia Research Assistant

Answers natural language questions by querying and summarizing Wikipedia content through an MCP-compatible interface.

AgenticRAG

Provides agentic retrieval-augmented generation capabilities for intelligent codebase processing via the Model Context Protocol (MCP).

FastDemo

Provides a basic Model Context Protocol (MCP) server demonstration with a web user interface.

Backbone

Exposes Backbone.js Markdown chapters as readable resources and provides a full-text search tool.

Aptos

Facilitates interaction with Aptos documentation and creation of full-stack Aptos blockchain applications.

Learning Project

Facilitates practical learning and development for Model Context Protocol concepts, offering a structured path from basics to advanced topics.

PubMed

Enables searching and retrieving scientific articles from PubMed via the NCBI E-utilities API.

PDF Annotator

Extracts PDF annotations, highlights, and text, enabling AI clients to safely interact with document content.

Calculator

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

Rememberizer

Enables Large Language Models to search, retrieve, and manage documents and integrations through Rememberizer's API.

Weather

Demonstrates building a weather server and client using the fastmcp framework.