What dependencies are needed?
Python and the packages in `requirements.txt`. Install with `pip install -r requirements.txt` or `uv pip install -r requirements.txt`.
@ucesys
Basic information
Minio MCP Python Implementation
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"minio_service": {
"command": "/Users/username/.local/bin/uv",
"args": [
"--directory",
"/Users/username/PycharmProjects/minio-mcp/src/minio_mcp_server",
"run",
"server.py"
]
}
}
}Returns a list of all buckets owned by the authenticated sender of the request
Returns some or all (up to 1,000) of the objects in a bucket with each request
Retrieves an object from MinIO
Uploads a file to MinIO bucket using fput method
This project implements a Model Context Protocol (MCP) server and client for MinIO object storage, providing a standardized way to interact with MinIO.
Install dependencies using pip or uv, configure a .env file with MinIO and server settings, then run the server with python src/minio_mcp_server/server.py. Use the basic client via src/client.py or the Anthropic client with src/client/mcp_anthropic_client.py.
Python and the packages in `requirements.txt`. Install with `pip install -r requirements.txt` or `uv pip install -r requirements.txt`.
Create a `.env` file in the root with MinIO endpoint, access/secret keys, security flag, and optional server host/port.
ListObjects returns up to 1,000 objects per request. ListBuckets supports pagination via `start_after` and `max_buckets` parameters. Bucket contents are limited to 1000 objects.
The MCP server runs over stdio. Debugging can be done using the MCP Inspector: `npx @modelcontextprotocol/inspector python path/to/server.py`.
Yes. Add a server entry to the Claude Desktop config file pointing to the server script with `command: "python"` and `args` including the server path.

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