Pixeltable Multimodal MCP Servers

What is Multimodal Model Context Protocol Server?

A collection of MCP servers for Pixeltable that handle multimodal data indexing and querying (audio, video, images, and documents). These services are orchestrated using Docker for local development.

How to use Multimodal Model Context Protocol Server?

Install pixeltable, clone the repository, navigate to servers/, and run docker-compose up --build to start all services. Use docker-compose down to stop them.

Key features of Multimodal Model Context Protocol Server

• Audio indexing with transcription and semantic search
• Video indexing with frame extraction and content search
• Image indexing with object detection and similarity search
• Document indexing with text extraction and RAG support
• Base SDK for Pixeltable integration
• Docker‑based orchestration for local development

Use cases of Multimodal Model Context Protocol Server

• Search audio files by spoken content using transcription
• Find video frames matching a visual description
• Retrieve similar images from a large collection
• Implement Retrieval‑Augmented Generation over documents
• Build a unified multimodal search application

FAQ from Multimodal Model Context Protocol Server

What are the runtime requirements?

Python 3.9+ and Docker are required; each service runs on a designated port (8080–8083).

How do I run the servers locally?

Clone the repo, go to servers/, and run docker-compose up --build. Use docker-compose down to stop.

What endpoints are available?

Each server is accessible at its own path: /audio, /video, /image, and /doc.

Is the server production‑ready?

The repository is marked as Beta and licensed under Apache 2.0.

How can I get support or report issues?

Use GitHub Issues for bugs/features or join the Pixeltable Discord community.