MinIO is an MCP server that integrates Model Context Protocol clients with MinIO object storage services. The server allows AI assistants and developer tools to interact directly with self-hosted or cloud-based S3-compatible MinIO instances, handling operations on buckets, files, and stored media. Configured primarily via environment variables, this server provides developers, infrastructure engineers, and data analysts with direct access to object repositories from their coding or conversational environments. Users can query stored documents, manage file assets, check bucket contents, and automate data handling routines through natural language prompts. By bridging MCP-compliant agents with MinIO deployments, it simplifies retrieving training datasets, reviewing logs, and persisting outputs without switching to dedicated external storage consoles or custom command-line tools.
Category: Cloud & Infrastructure
Tags: cloud-storage, minio, object-storage, s3
claude_desktop_config.json) and register the Python server under the mcpServers object with the appropriate run command and environment settings. 5. Restart your MCP client to initialize the server connection.Part of MCP Servers
MinIO MCP server is a Model Context Protocol integration that connects MCP-compatible tools to MinIO S3-compatible object storage. It lets AI assistants manage storage buckets, retrieve stored assets, and inspect object data using environment variables for configuration.
Configuration is handled primarily through environment variables that provide the MinIO endpoint, access key, and secret key. Detailed setup commands and configuration parameters can be found in the official repository documentation.
Any client supporting the Model Context Protocol standard can connect to this server, including Claude Desktop and development environments like Cursor, provided the client supports local command execution.
Yes, this project is open-source software available for public access, inspection, and community contribution on GitHub.