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by bhavik1st • File & Storage
A Python Model Context Protocol (MCP) server that exposes public cloud resources (e.g., AWS S3, Azure Blob) and basic tools to LLMs and agents for testing and prototyping.
Read and retrieve file-like resources from public cloud storage such as S3 buckets or Azure blobs.
Perform CRUD operations on cloud storage resources (upload, download, list, delete) via MCP-exposed tools.
A local/test MCP server to prototype integrations with public cloud contexts and evaluate LLM-driven workflows.
mcp-cloud is a lightweight Python MCP server that connects to public cloud providers to surface file-like resources, tools, and prompt templates to LLM-based agents. It focuses initially on cloud storage (S3, Azure Blobs) and provides read and basic CRUD operations, enabling models to access and act on cloud-hosted data. The project is described as a technology demonstrator for use with test accounts or local LLMs and is intended for prototyping MCP integrations and agent workflows.
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