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- mcp-server-pixeltable
Mcp Server Pixeltable
What is Mcp Server Pixeltable
mcp-server-pixeltable is a multimodal MCP server designed to handle indexing and querying of various types of multimodal data including audio, video, images, and documents.
Use cases
Use cases include building a searchable media library, developing applications for content-based retrieval, enhancing user experience in multimedia platforms, and integrating with AI models for advanced data processing.
How to use
To use mcp-server-pixeltable, clone the repository, install the required package, and run the services using Docker. Each service can be accessed at its designated endpoint.
Key features
Key features include audio indexing with transcription, video frame extraction, image object detection, document text extraction, and support for semantic and similarity searches across different media types.
Where to use
mcp-server-pixeltable can be used in fields such as media management, content creation, digital asset management, and any application that requires efficient handling of multimodal data.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Server Pixeltable
mcp-server-pixeltable is a multimodal MCP server designed to handle indexing and querying of various types of multimodal data including audio, video, images, and documents.
Use cases
Use cases include building a searchable media library, developing applications for content-based retrieval, enhancing user experience in multimedia platforms, and integrating with AI models for advanced data processing.
How to use
To use mcp-server-pixeltable, clone the repository, install the required package, and run the services using Docker. Each service can be accessed at its designated endpoint.
Key features
Key features include audio indexing with transcription, video frame extraction, image object detection, document text extraction, and support for semantic and similarity searches across different media types.
Where to use
mcp-server-pixeltable can be used in fields such as media management, content creation, digital asset management, and any application that requires efficient handling of multimodal data.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Multimodal Model Context Protocol Server
This repository contains a collection of server implementations for Pixeltable, designed to handle multimodal data indexing and querying (audio, video, images, and documents). These services are orchestrated using Docker for local development.
🚀 Available Servers
Audio Index Server
Located in servers/audio-index/, this server provides:
- Audio file indexing with transcription capabilities
- Semantic search over audio content
- Multi-index support for audio collections
- Accessible at
/audioendpoint
Video Index Server
Located in servers/video-index/, this server provides:
- Video file indexing with frame extraction
- Content-based video search
- Accessible at
/videoendpoint
Image Index Server
Located in servers/image-index/, this server provides:
- Image indexing with object detection
- Similarity search for images
- Accessible at
/imageendpoint
Document Index Server
Located in servers/doc-index/, this server provides:
- Document indexing with text extraction
- Retrieval-Augmented Generation (RAG) support
- Accessible at
/docendpoint
Base SDK Server
Located in servers/base-sdk/, this server provides:
- Core functionality for Pixeltable integration
- Foundation for building specialized servers
📦 Installation
Local Development
pip install pixeltable
git clone https://github.com/pixeltable/mcp-server-pixeltable.git
cd mcp-server-pixeltable/servers
docker-compose up --build # Run locally with docker-compose
docker-compose down # Take down resources
🔧 Configuration
- Each service runs on its designated port (8080 for audio, 8081 for video, 8082 for image, 8083 for doc).
- Configure service settings in the respective Dockerfile or through environment variables.
🔗 Links
📞 Support
- GitHub Issues: Report bugs or request features
- Discord: Join our community
📜 License
This project is licensed under the Apache 2.0 License.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










