Tencent Cloud COS MCP Server, based on MCP protocol, allows seamless connection of large models with Tencent Cloud Storage (COS) and Data Insight (CI). It supports uploading, downloading, and managing files, along with processing tasks like image analysis, OCR, and video snapshotting, facilitating automated data handling and retrieval in cloud environments.
Added on:
Created by:
Apr 21 2025
Tencent Cloud COS MCP Server, based on MCP protocol, allows seamless connection of large models with Tencent Cloud Storage (COS) and Data Insight (CI). It supports uploading, downloading, and managing files, along with processing tasks like image analysis, OCR, and video snapshotting, facilitating automated data handling and retrieval in cloud environments.
Added on:
Created by:
Apr 21 2025
Tencent
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What is Tencent Cloud COS MCP Server?
Tencent Cloud COS MCP Server provides a protocol-driven solution for integrating large models with Tencent Cloud storage services. It enables users to upload, download, and manage files directly via MCP, along with advanced cloud processing functionalities such as image analysis, super-resolution, cropping, QR code recognition, image quality assessment, and document conversion. The server supports automation and batch processing, making it suitable for automating data collection, storage, and analysis workflows. Users can deploy the server locally or remotely, configure via environment variables or JSON, and connect with large models for real-time or batch data operations, streamlining AI-driven data management tasks.
Who will use Tencent Cloud COS MCP Server?
- AI/ML developers integrating large models with cloud storage
- Data engineers managing large datasets in Tencent Cloud
- Businesses automating data ingestion and processing workflows
- Researchers leveraging cloud storage for AI training and inference
How to use the Tencent Cloud COS MCP Server?
- Step 1: Obtain Tencent Cloud API SecretId and SecretKey
- Step 2: Configure storage bucket and region details
- Step 3: Install cass-mcp via npm or clone the GitHub repo
- Step 4: Set environment variables or create a JSON config file with your credentials
- Step 5: Run the server using npm commands or compile from source
- Step 6: Connect your large model to the server via configured URL or protocol
- Step 7: Use provided APIs for file upload, download, and processing tasks
Tencent Cloud COS MCP Server's Core Features & Benefits
The Core Features
- File upload and download
- Cloud file listing
- Image analysis (super-resolution, cropping, quality assessment)
- QR code recognition
- Image and document processing (PDF conversion)
- Video frame extraction
- Metadata and natural language search
The Benefits
- Simplifies integration of large models with cloud storage
- Supports comprehensive cloud data processing capabilities
- Enables automation of data workflows without coding
- Flexible deployment options (local or remote)
- Extensive processing functions for multimedia data
Tencent Cloud COS MCP Server's Main Use Cases & Applications
- Automated uploading and processing of images and videos for AI training data
- Cloud storage management for large datasets used in ML workflows
- Batch processing and analysis of multimedia files via large models
- Data backup and transfer automation from local systems to Tencent Cloud
FAQs of Tencent Cloud COS MCP Server
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