I just built the ultimate MCP server for Multimodal AI. It lets you do RAG over audio, video, images and text! 100% open-source, here's the full breakdown...👇

Before we dive in, here's a quick demo of what we're building! Tech stack: - @pixeltablehq to build the multi-modal AI infrastructure - @crewAIInc to orchestrate the agentic workflow Quickly check the thread, then return here for a detailed overview. 🚀

First of all, what is Pixeltable? Pixeltable is a go-to Python library for Multimodal AI—streamlining entire pipeline from data storage to model execution. Handles images, videos, text & audio effortlessly. Our MCP servers are built on top of Pixeltable.

System overview: - User submits a query - Router agent identifies modality and triggers a specialist - Specialist agent sends relevant context to response generator - User receives a coherent response Let's dive into the code!

1️⃣ Docker Setup Deploy the Pixeltable MCP server using Docker Compose. This setup starts 4 MCP servers (document, audio, image, & video) with Server-Sent Events (SSE) transport. Check this out 👇

2️⃣ Connect MCP server to CrewAI With our Pixeltable servers prepared, let's integrate MCP servers as tools in CrewAI! It's fairly easy, check this out 👇

Next we start defining the agents... 3️⃣ Define Router Query Agent Router Agent directs user queries within our system, analyzing them to assign each to the appropriate specialist agent. Check this out 👇

4️⃣ Define Image Specialist Agent Video Specialist Agent utilizes Video MCP Server for its tools. It creates an index, inserts videos, processing both frames and audio and make it available for RAG. Check this out 👇

Similarly, we can define the other specialists: Image, Audio, and Document Specialist Agents The same code is used, which is shared at the end.

5️⃣ Define Response Synthesis Agent Synthesis Agent serves as final quality control layer, refining retrieval outputs from specialized agents into polished, user-friendly responses. Check this out 👇

6️⃣ Create CrewAI Agentic Flow Let's explore how to connect our crews of agents and Pixeltable MCP servers as tools within CrewAI Flow...👇

Now here's the video that we'll ingest and do RAG over. You can do the same for any modality, images audio etc. No changes would be required. Check next tweet for the query and the obtained output...👇

Done! Now let's see our MCP-powered, multi-modal, multi-agent workflow in action 🚀 Check this 👇

If you found it insightful, reshare with your network. Find me → @akshay_pachaar ✔️ For more insights and tutorials on LLMs, AI Agents, and Machine Learning!