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MCP Server Pixeltable
This project is a collection of multimodal model context protocol servers by Pixeltable, providing indexing and querying services for audio, video, images, and documents, and supporting local Docker deployment.
rating : 2 points
downloads : 16
What is the MCP Server?
The MCP server is a set of specially designed services for efficiently indexing and querying various types of multimedia data. It supports multiple formats such as audio, video, images, and documents, providing powerful search and analysis capabilities.How to use the MCP Server?
All services can be started with simple Docker commands. Each service runs on an independent port and provides dedicated API endpoints for invocation.Applicable Scenarios
Suitable for applications that need to process and analyze multimedia content, such as media asset management, content retrieval, and intelligent analysis scenarios.Main Features
Audio Indexing and SearchSupports audio file transcription and semantic search, and can manage multiple audio collections.
Video Content AnalysisProvides video frame extraction and content-based search functions.
Image Recognition and SearchSupports object detection and image similarity search.
Document ProcessingProvides document text extraction and Retrieval Augmented Generation (RAG) support.
Advantages and Limitations
Advantages
One-stop solution for multimodal data processing
Modular design, each service can be used independently
Supports fast Docker deployment
Comprehensive documentation and community support
Limitations
Currently in Beta stage, the functions may not be stable enough
Requires certain hardware resources support
Advanced functions require learning costs
How to Use
Install Dependencies
Ensure that Python 3.9+ and Docker environment are installed on the system.
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Clone the Repository
Get the latest server code.
Start the Services
Use docker-compose to start all services.
Usage Examples
Audio Content RetrievalSearch for content containing specific keywords in a large number of audio files.
Video Content AnalysisExtract key frames from the video and identify the objects in them.
Frequently Asked Questions
What kind of hardware configuration is required?
How to scale the services?
Which file formats are supported?
Related Resources
Pixeltable GitHub
Project source code repository
Official Documentation
Detailed usage documentation and API reference
Discord Community
Get real-time help and communicate
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