mcp_multi_cloud
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Model Context Protocol Server for Public Cloud environments like AWS, Azure, and more.
mcp-cloud is a Python server implementation of the Model Context Protocol (MCP) designed specifically for public cloud environments. It enables AI models to seamlessly connect with various cloud resources and services. The server is capable of connecting to public cloud resources such as S3 Buckets and Azure Blobs, providing tools for performing operations like CRUD on these resources. It is a technology demonstrator intended for use with test data or accounts in the cloud or with local LLM models like Llama. The MCP protocol, created by Anthropic, standardizes how applications provide context to LLMs, similar to how a USB-C port standardizes connections for devices.
Features
- Cloud Storage: Provides access to cloud storage resources like S3 Buckets and Azure Blobs.
- Cloud Compute: Planned feature for future releases to provide compute capabilities.