Transfa
Upload any file from the local filesystem and get a shareable, expiring link — with tools to check file status, list recent uploads, and delete files on demand.
README
<p align="center"> <a href="https://transfa.sh"><img src="https://transfa.sh/brand/logo-wordmark.png" height="52" alt="transfa" /></a> </p>
<p align="center"> <strong>Dead-simple file sharing for developers and AI agents.</strong><br/> Upload with one command. Share with a link. No account required. </p>
<p align="center"> <a href="https://www.npmjs.com/package/transfa"><img src="https://img.shields.io/npm/v/transfa?color=0ea5e9&label=npm" alt="npm version" /></a> <a href="https://www.npmjs.com/package/transfa"><img src="https://img.shields.io/npm/dm/transfa?color=8b5cf6&label=downloads" alt="npm downloads" /></a> <img src="https://img.shields.io/badge/node-%3E%3D18-brightgreen" alt="node version" /> <a href="LICENSE"><img src="https://img.shields.io/badge/license-MIT-blue" alt="MIT License" /></a> <a href="https://transfa.sh"><img src="https://img.shields.io/badge/hosted-transfa.sh-ff6b6b" alt="Hosted service" /></a> </p>
$ tf upload model.gguf
✓ Uploaded model.gguf (4.2 GB) → https://transfa.sh/f/xK9mRp
SHA-256 a3f8c2...d91b
Expires in 7 days
Why transfa?
Most file-sharing tools are built for humans clicking through UIs. transfa is built for the terminal — designed to be called from shell scripts, CI pipelines, and AI agents (Claude, GPT, Cursor, etc.) that need to move files without friction.
- No signup required — just install and upload
- Any format, any size — up to 100 GB; ML models, archives, binaries, code, media
- Built for agents — JSON API, SHA-256 checksums, idempotent uploads
- Password protection, download limits, TTL — full control over every link
- 100+ formats detected — MIME type auto-detection including
.gguf,.safetensors,.parquet,.ipynb, and more
Install
Node.js / CLI
npm install -g transfa
Python SDK
pip install transfa
MCP server (Claude, Cursor, any MCP-compatible agent)
npx -y transfa-mcp
Or use the raw install script:
curl -fsSL https://transfa.sh/install | sh
Quick start
# Upload a file (no account needed)
tf upload photo.jpg
# Upload with custom TTL and password
tf upload secret.zip --ttl 24h --password hunter2
# Upload and pipe the URL to clipboard
tf upload bundle.tar.gz | grep url | awk '{print $2}' | pbcopy
# Download a file
tf download https://transfa.sh/f/xK9mRp
# List your uploads
tf list
# Delete an upload
tf delete xK9mRp
GitHub Actions
Upload build artifacts, coverage reports, and any CI output straight from your workflow:
- uses: colapsis/transfa-action@v1
id: upload
with:
file: ./dist/report.pdf
api-key: ${{ secrets.TRANSFA_API_KEY }}
- run: echo "${{ steps.upload.outputs.agent-link }}" >> $GITHUB_STEP_SUMMARY
All five outputs are available after the step: id, agent-link, human-link, sha256, expires-at.
See colapsis/transfa-action for the full input reference and more examples (password-protected links, self-hosted instances, single-download limits).
API
transfa is fully REST. Every operation the CLI does, you can do with curl or any HTTP client.
Upload
curl -X POST https://transfa.sh/api/upload \
-H "Authorization: Bearer $TF_KEY" \
-F "file=@model.gguf" \
-F "ttl=7d"
{
"id": "xK9mRp",
"url": "https://transfa.sh/f/xK9mRp",
"download_url": "https://transfa.sh/api/download/xK9mRp",
"filename": "model.gguf",
"bytes": 4512345678,
"sha256": "a3f8c2...d91b",
"expires_at": "2026-05-21T12:00:00.000Z"
}
Upload options (form fields or headers):
| Field | Header | Description |
|---|---|---|
ttl |
X-Transfa-TTL |
Expiry: 1h, 24h, 7d, 30d |
password |
— | Password-protect the download link |
max_downloads |
— | Burn after N downloads |
filename |
X-Transfa-Filename |
Override the stored filename |
Download
# Direct download (no auth required)
curl -L https://transfa.sh/api/download/xK9mRp -o model.gguf
# Password-protected
curl -L "https://transfa.sh/api/download/xK9mRp?password=hunter2" -o secret.zip
File info
curl https://transfa.sh/api/download/info/xK9mRp
{
"id": "xK9mRp",
"filename": "model.gguf",
"bytes": 4512345678,
"sha256": "a3f8c2...d91b",
"mime_type": "application/octet-stream",
"download_count": 3,
"has_password": false,
"expires_at": "2026-05-21T12:00:00.000Z",
"active": true
}
List uploads
curl https://transfa.sh/api/upload \
-H "Authorization: Bearer $TF_KEY"
Delete
curl -X DELETE https://transfa.sh/api/upload/xK9mRp \
-H "Authorization: Bearer $TF_KEY"
Supported formats
Over 100 file types with correct MIME detection — including types not in standard MIME databases:
| Category | Formats |
|---|---|
| ML models | .gguf .ggml .safetensors .onnx .pt .pth .pkl .ckpt .tflite .mlmodel .lora |
| Data science | .parquet .arrow .feather .h5 .hdf5 .npz .npy .lance .duckdb .ipynb |
| Code | .py .rs .go .ts .kt .swift .scala .cu .sol .vy .elm .zig |
| Archives | .zip .tar .gz .bz2 .xz .7z .zst |
| 3D / Design | .glb .gltf .obj .stl .usdz .blend .fig .sketch .psd |
| Media | .avif .webp .heic .jxl .opus .flac .webm .av1 |
| Config | .toml .hcl .tf .tfvars .nix .dhall .lock .env |
| Everything else | .wasm .sqlite .db .pem .crt .p12 + all standard types |
Any other format is accepted as application/octet-stream — nothing is blocked.
Plans
| Guest | Free | Pro | Team | |
|---|---|---|---|---|
| Max file size | 10 MB | 500 MB | 50 GB | 100 GB |
| Uploads / day | 5 | 20 | 500 | 5,000 |
| Max TTL | 24h | 48h | 30 days | 180 days |
| Storage | — | — | Unlimited | Unlimited |
| Price | Free | Free | $12/mo | $48/mo |
| Trial | — | — | 3-day free trial | 3-day free trial |
MCP server (Claude, Cursor, and any MCP-compatible agent)
transfa ships an MCP server that lets Claude, Cursor, and any MCP-compatible agent upload and share files autonomously — no shell commands, no infrastructure setup.
npx -y transfa-mcp
Claude Desktop config
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"transfa": {
"command": "npx",
"args": ["-y", "transfa-mcp"],
"env": {
"TRANSFA_API_KEY": "your-api-key"
}
}
}
}
The API key is optional — the server works in guest mode without one (10 MB / 24h limit).
Available MCP tools
| Tool | Description |
|---|---|
upload |
Upload a file from the local filesystem. Returns agent_link (direct URL), human_link (share page), and sha256. Accepts run_id, step, consumer, intent for provenance. |
file_info |
Get metadata about an upload — filename, size, SHA-256, expiry, download count, provenance fields. |
list_uploads |
List recent uploads (requires API key). |
delete_upload |
Delete an upload immediately. |
run_artifacts |
Get all files uploaded under a run_id — the full provenance manifest for a pipeline run or agent session. |
Example agent workflow
When Claude has transfa as an MCP tool, it can:
- Generate a report → call
upload→ get a link → paste the link in the conversation - Pass a file to another agent by sharing the
agent_link - Clean up with
delete_uploadwhen done
Python SDK
import transfa
# Upload
result = transfa.upload("model.pt", ttl="24h", run_id="run-42", artifact=True)
print(result.url, result.sha256)
# Download (SHA-256 verified)
transfa.download(result.id, output="model.pt")
# Provenance manifest for a run
manifest = transfa.run_artifacts("run-42")
# Async
async with transfa.AsyncClient() as client:
result = await client.upload("model.pt")
See python/README.md for the full API reference.
Use with AI agents (script/subprocess)
transfa is also designed to be called from shell scripts, CI pipelines, and agents that prefer subprocess calls:
import subprocess, json
result = subprocess.run(
["tf", "upload", "output.csv"],
capture_output=True, text=True
)
data = json.loads(result.stdout)
print(data["url"]) # https://transfa.sh/f/xK9mRp
Or use the REST API directly — no SDKs, no auth flows, just HTTP.
Self-hosting
git clone https://github.com/colapsis/transfa.git
cd transfa
cp .env.example .env # fill in your keys
npm install --prefix server
npm install --prefix cli
npm run build --prefix frontend
pm2 start ecosystem.config.cjs
Requirements: Node.js 18+, nginx (for SSL/proxy)
See nginx/transfa.conf for a production-ready nginx config.
Environment variables
| Variable | Description |
|---|---|
PORT |
Server port (default: 3001) |
BASE_URL |
Public URL e.g. https://transfa.sh |
STRIPE_SECRET_KEY |
Stripe secret key for billing |
STRIPE_WEBHOOK_SECRET |
Stripe webhook signing secret |
STRIPE_PRO_PRICE_ID |
Stripe price ID for Pro plan |
STRIPE_TEAM_PRICE_ID |
Stripe price ID for Team plan |
Security
Found a vulnerability? Please email tansfa.sh@gmail.com or see SECURITY.md.
Do not open a public issue for security reports.
License
MIT — © 2026 transfa contributors
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.