Ruslan Magana Vsevolodovna
@ruslanmv
AI Engineer specializing in distributed AI systems, multi-agent architectures, and generative AI. PhD in Physics with a background in high-performance computing
15
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136
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Published Tools
8 MCP Servers1 Skill6 Agentsacross 5 categoriesruslanmv
The Model Context Protocol (MCP) is a standardized way to supply context to large language models (LLMs). Using the MCP Python SDK, you can build servers that expose data (resources), functionality (tools), and interaction templates (prompts) to LLM applications in a secure and modular fashion. In this tutorial, we’ll build a simple MCP server in P
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This project is an AI engine that brings a single photo to life, creating a realistic "talking head" video from just an audio file. It's built for flexibility, offering two ways to use it: a standard web API for easy integration into any application, and a specialized server that automatically connects to "MCP Gateway" systems.
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Hugging Face Space: Pixtral-Multimodal-Chatbot
ruslanmv
WebClone is now an official Model Context Protocol (MCP) server, making website cloning available to AI agents like Claude, CrewAI, and any MCP-compatible framework!
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CLI and Flask‑based web application that transforms plain‑English prompts into production‑ready, multi‑agent AI workflows. It generates native YAML for IBM WatsonX Orchestrate, Python code for CrewAI, CrewAI Flow, LangGraph, or ReAct, and includes a built‑in FastAPI MCP server wrapper for seamless deployment to the MCP Gateway.
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Production-ready agentic AI assistant for GitHub repositories with multi-LLM support and visual workflow insights
ruslanmv
Turn your PC into a private, OpenAI-compatible LLM provider in ~60 seconds
ruslanmv
A production-ready hospital portal where patients can register/login, chat with an AI intake assistant (Watsonx Orchestrate / MCP), and manage their medical profile. The stack wires a Next.js frontend to a FastAPI gateway that talks to Postgres and the external medical-mcp-toolkit server (HTTP + SSE).
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How to create a professional, production‑ready chatbot server powered by IBM Watsonx.ai and exposed via the Model Context Protocol (MCP) Python SDK.
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Building a Watsonx.ai Chatbot RAG Server with MCP compatible with Claude Desktop.
Ruslan Magana Vsevolodovna
Will it run on my setup? Fit-check + benchmark wizard for local LLMs on your GPU — weekly-updated model registry.
Ruslan Magana Vsevolodovna <[email protected]>
Build, package, install, and validate MCP servers (Matrix Hub–compatible).