name	ftpc-storage
description	Read files from remote storage backends (local, FTP, SFTP, S3, Azure). List directories, download files, inspect metadata. Use for reading data from cloud storage, FTP servers, or remote filesystems without making changes.
allowed-tools	Read, Grep, Glob, Bash(python3:*)

FTPC Storage (Read-Only)

Name: ftpc-storage
Author: edoannunziata

Use the ftpc library to read files from various storage backends.

Supported Backends

Protocol	URL Format	Example
Local	`file:///path` or `/path`	`/home/user/data`
FTP	`ftp://[user:pass@]host[:port]/path`	`ftp://ftp.example.com/pub`
FTPS	`ftps://[user:pass@]host[:port]/path`	`ftps://secure.example.com`
SFTP	`sftp://[user:pass@]host[:port]/path`	`sftp://user:pass@host/data`
S3	`s3://bucket/path`	`s3://my-bucket/folder`
Azure Data Lake	`azure://account.dfs.core.windows.net/fs/path`	`azure://myacct.dfs.core.windows.net/data`
Azure Blob	`blob://account.blob.core.windows.net/container/path`	`blob://myacct.blob.core.windows.net/files`

Quick Start

from ftpc import connect_sync

# Connect using URL and list files
with connect_sync("s3://my-bucket") as store:
    files = store.list("/")
    for f in files:
        print(f"{f.name}  {'DIR' if f.is_directory else f.size}")

Available Operations

List Directory

from ftpc import connect_sync

with connect_sync("ftp://ftp.example.com") as store:
    # List root (base path from URL)
    files = store.list()

    # List specific path
    files = store.list("/documents")

    # Each file is a FileDescriptor with:
    # - name: str (filename only)
    # - path: PurePath (full path)
    # - is_file: bool
    # - is_directory: bool
    # - size: Optional[int] (bytes, None for directories)
    # - modified_time: Optional[datetime]

Download File

from ftpc import connect_sync

with connect_sync("sftp://user:pass@host") as store:
    # Download to local path
    store.download("/remote/file.csv", "local_file.csv")

    # With progress tracking
    def progress(bytes_done: int) -> bool:
        print(f"Downloaded {bytes_done} bytes")
        return True  # Return False to cancel

    store.download("/large_file.zip", "output.zip", progress)

Using Named Remotes from Config

If ~/.ftpcconf.toml exists with configured remotes:

# ~/.ftpcconf.toml
[my-s3]
type = "s3"
bucket = "my-bucket"
region = "us-east-1"

[work-ftp]
type = "ftp"
url = "ftp.company.com"
username = "user"
password = "secret"

Load config and create client:

from ftpc.config import Config
from ftpc.clients.s3client import S3Client

config = Config.from_file()  # Loads ~/.ftpcconf.toml
remote = config.remotes["my-s3"]

# Create client from config (varies by type)
with S3Client(bucket_name=remote.bucket, region_name=remote.region) as client:
    files = client.ls("/")

Async Usage

import asyncio
from ftpc import Storage

async def main():
    async with Storage.connect("s3://bucket") as store:
        files = await store.list("/")
        await store.download("/data.csv", "local.csv")

asyncio.run(main())

Named Constructors (Explicit Configuration)

from ftpc import Storage

# S3 with explicit credentials
with Storage.s3(
    bucket="my-bucket",
    region="us-east-1",
    access_key_id="AKIAIOSFODNN7EXAMPLE",
    secret_access_key="wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY"
).sync() as store:
    files = store.list("/")

# FTP with explicit config
with Storage.ftp(
    host="ftp.example.com",
    username="user",
    password="pass",
    tls=True  # Use FTPS
).sync() as store:
    store.download("/file.txt", "local.txt")

# SFTP with key file
with Storage.sftp(
    host="server.example.com",
    username="deploy",
    key_filename="/home/user/.ssh/id_rsa"
).sync() as store:
    files = store.list("/var/data")

Dependencies

Install required backends:

pip install ftpc            # Core (local + FTP)
pip install ftpc[sftp]      # + SFTP (paramiko)
pip install ftpc[s3]        # + S3 (boto3)
pip install ftpc[azure]     # + Azure (azure-storage-*)
pip install ftpc[all]       # All backends

ftpc-storage

Install Skill

SKILL.md