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Desarrollo de un servidor de Model Context Protocol (MCP) con Python que actúa como un puente entre agentes de IA y modelos especializados de NLP en Hugging Face

Genderize MCP — gender prediction from first name (genderize.io, free, no auth)

Enables AI assistants to control Apple HomeKit smart home accessories, scenes, and automations via MCP tools.

Durable self for AI agents over MCP: resume in one call, memory, real browser, deep research.

Provides cocktail recommendations using a Retrieval-Augmented Generation (RAG) pipeline powered by LangChain, FAISS, and Groq. It enables users to search for cocktail recipes and receive personalized drink suggestions through natural language.

EasyEDA Pro provides 100+ tools for AI assistants to control EasyEDA Pro, covering project and board management, component library search by keyword or LCSC part number, schematic editing (wires, labels, net flags), PCB layout and routing, and full document read/write with optimistic revision checking. It operates over stdio transport and a local HTTP endpoint.

Rick and Morty MCP — wraps The Rick and Morty API (free, no auth)

MCP server that converts Markdown to high-quality PDF documents using LaTeX, enabling AI agents like Claude to generate professional PDFs without requiring sign-ups or credit cards.

The Journal RAG MCP server enables AI assistants to search through personal markdown journal entries using semantic similarity. It implements a vector database approach with ChromaDB and sentence-transformers to index journal content, supporting both full and incremental indexing of entries. The server exposes two main tools: one for querying journal entries based on semantic relevance, and another for updating the index when new entries are added. Built with GPU acceleration support for faster embedding generation on NVIDIA hardware, this implementation is particularly useful for users who maintain personal journals in markdown format and want to reference past experiences, thoughts, and activities during conversations with AI assistants without manually searching through entries.

Bash History MCP provides seamless integration to atuin command history, offering both read and write capabilities for bash command tracking. Built with Bun and TypeScript, it operates as both a post-execution hook that automatically captures bash commands run by AI assistants into atuin history (preserving exit codes and execution context), and an MCP server that enables searching and retrieving recent command history with filtering options for failed commands. The dual-mode architecture makes it valuable for AI workflows that need persistent command history tracking across sessions, allowing assistants to learn from previous command patterns and maintain context of what has been executed in terminal environments.

GenPark Distilled Skill: accio-shopify-operator

This Record to Markdown MCP implementation, developed by 29decibel, provides a Python-based interface for AI assistants to save conversation content to markdown files or Apple Notes. Built using libraries like httpx, markdown2, and mcp, it offers tools for converting markdown to HTML and creating notes with AppleScript integration. The implementation focuses on efficient content preservation and formatting, making it easier for AI models to store and organize conversation outputs. It's particularly useful for users of Claude desktop who want to automatically save their AI interactions, enabling easy reference, sharing, or further analysis of conversation content without manual copying and pasting.

MCP server for FIFA World Cup 2026 data including fixtures, live scores, odds, and knockout bracket, plus a tool (wc_edge) that autonomously pays for premium data via Injective's x402 protocol.

MCP server exposing qBittorrent's WebUI API v2 as tools, enabling LLMs to manage torrents, categories, tags, RSS feeds, search plugins, and application settings.

MCP server for ModusOp — projects, tasks, time tracking, and retainers for AI assistants.

This MCP server provides a connection to O'Reilly's learning platform API, enabling AI assistants to search for content across O'Reilly's extensive library of technical books and resources. Built with FastMCP and Starlette, it exposes a search_content tool that queries the O'Reilly API with authentication, transforms the results into a structured YAML format, and returns essential metadata including titles, authors, ratings, and URLs. The server runs as an SSE-based endpoint, making it ideal for workflows requiring access to technical documentation, programming guides, or research materials from O'Reilly's collection.

Enables text-to-speech synthesis and voice cloning using VoxCPM2 diffusion model from within Claude Code.

MCP server for Semantic Scholar API with 14 tools: paper search (relevance + bulk), authors, citations, recommendations & datasets. Supports stdio and streamable-http/Docker.

MCP server with a fictitious clinical database to develop and test agents, providing tools to search patients and retrieve full medical records (inpatient, outpatient, emergency) via HTTP streamable transport.

Minimal, secure Google Workspace MCP server — 43 tools across 10 services (Gmail, Calendar, Drive, Docs, Sheets, Slides, Forms, Tasks, Chat, Meet). Only official Google libraries, zero third-party wrappers, fully auditable. Works with Claude Code, Kiro, Cursor, Windsurf, Codex.