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Practicas sobre implementaciones del Model Context Protocol LOCAL / EXTERNO en lenguaje python para la creacion de Agentes de IA con LangChain y FastMCP

A read-only MCP server that automates Google Classroom web pages for accounts without OAuth access, enabling search and reading of courses, classwork, and attachments.

Enables automatic literature discovery, screening, and ranking across OpenAlex, Semantic Scholar, and arXiv, with tools for exporting to Zotero and generating research ideas.

MT5 MCP Bridge — Expose MetaTrader 5 trading capabilities as MCP tools for LLM agents (Hermes, Claude)

This MCP server implementation provides cryptographic tools for secure communication, including key pair generation, shared secret derivation, and message encryption/decryption using SJCL P-256 and AES-CCM. Built with Express.js and TypeScript, it offers real-time communication via server-sent events (SSE). The server is designed for applications requiring end-to-end encryption and secure data exchange between AI models and external tools.

Enables AI assistants to search, retrieve, and browse Markdown documentation in a local folder, then answer questions with cited sources.

Enables AI assistants to run, debug, and interact with Solar2D projects by capturing Lua logs, taking screenshots, and simulating touch events. It streamlines game development through automated simulator configuration and real-time visual analysis.

Provides read-only access to Reddit data without requiring API keys, OAuth tokens, or a browser. Built on top of the redd scraping library, it supports searching across all of Reddit or within specific subreddits, browsing hot/top/new/rising posts, retrieving full post content with nested comment trees, and viewing user activity and submitted posts. Follows hexagonal architecture with configurable transport (stdio and streamable HTTP) and environment-based settings for proxy, timeout, and throttling.

Provides stablecoin risk analysis using a 7-signal scoring framework. Evaluates 28+ tokens across peg deviation, liquidity depth, reserve transparency, and regulatory exposure. Returns composite risk scores with SAFE, CAUTION, or AVOID verdicts for portfolio risk assessment and DeFi due diligence.

MCP server for Xcode build optimization, providing build-timing analysis, DerivedData/module-cache management, and build-speed config linting for AI coding agents.

Enables AI assistants to query THORChain blockchain data including transactions, address history, liquidity pool statistics, network metrics, and vault addresses through a standardized interface.

Build, version, review, and export websites, web apps, and games from a conversation.

MCP Agents is an AI-powered browser automation tool that lets you interact with websites using natural language. Built with Streamlit, OpenAI, and Puppeteer via the Model Context Protocol (MCP), it supports multi-step navigation, interaction, and content extraction—all with simple text commands.

Enables browser automation through Playwright with persistent sessions and cookie state management. Supports web navigation, page interaction, and browser control via JSON-RPC protocol over stdin/stdout.

Enables inspection of any website's AI-search readiness, checking AI crawler blocks, llms.txt, schema markup, and indexing directives from MCP clients like Claude.

Enables vision capabilities for any AI model by routing image analysis requests through OpenRouter's vision models. It provides tools to analyze images from URLs, local file paths, or base64 data.

A Model Context Protocol (MCP) server for interacting with the DNSDumpster API, enabling AI assistants to perform detailed DNS reconnaissance through natural language requests.

A server that wraps a self-hosted mem0 REST API as MCP tools for Claude Desktop and Claude Code, enabling memory operations such as adding, searching, and managing memories via natural language.

This MCP Etherscan server provides Ethereum blockchain data tools via Etherscan's API. Built with TypeScript and leveraging the ethers.js library, it offers features like balance checking, transaction history viewing, token transfer tracking, contract ABI fetching, gas price monitoring, and ENS name resolution. The server is designed to run on stdio, making it compatible with MCP clients like Claude Desktop. By abstracting Etherscan API interactions into standardized MCP tools, it enables AI systems to easily access and analyze Ethereum blockchain data. This implementation is particularly useful for applications requiring real-time Ethereum data, such as DeFi analytics, wallet monitoring, or smart contract development assistance.

Enables AI agents to automate browser interactions using Selenium WebDriver, supporting multiple browsers and tools for navigation, clicking, typing, screenshots, and more.