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PopNx MCPMCP servers for people who use AI · explained in plain words

Transfa

by colapsisversion 1.0.1i★ –iRuns on your computer
Registry nameio.github.colapsis/transfa

Install

Overview

Description from the maker (original English)

Upload any file, get a signed link. SHA-256 verified, TTL-enforced, no account required.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other
  • You need to fill in: TRANSFA_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: TRANSFA_API_KEY, TRANSFA_BASE_URL

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "transfa": {
      "command": "npx",
      "args": [
        "-y",
        "transfa-mcp"
      ],
      "env": {
        "TRANSFA_API_KEY": "your-value",
        "TRANSFA_BASE_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add transfa --env TRANSFA_API_KEY=your-value --env TRANSFA_BASE_URL=your-value -- npx -y transfa-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "transfa": {
      "command": "npx",
      "args": [
        "-y",
        "transfa-mcp"
      ],
      "env": {
        "TRANSFA_API_KEY": "your-value",
        "TRANSFA_BASE_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "transfa": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "transfa-mcp"
      ],
      "env": {
        "TRANSFA_API_KEY": "your-value",
        "TRANSFA_BASE_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • TRANSFA_API_KEY secret env
    Your Transfa API key. Free at transfa.sh — leave empty for guest mode (10 MB limit).
  • TRANSFA_BASE_URL env
    Custom Transfa instance URL for self-hosted deployments. Defaults to https://transfa.sh

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account colapsis, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32415 servers in this category
  • Published to the registry more recently than 9% of the other 32415 servers in this category
  • Basic checks equal to or better than 100% of the other 32415 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Transfa safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: TRANSFA_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Safe Fetch

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
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Safe Fetch

by Sanoy24

MCP server for fetching URLs, safe against SSRF, DNS rebinding, and redirect-to-internal attacks.

Runs on your computerUpdated today
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Dead-simple file sharing for developers and AI agents.

Upload with one command. Share with a link. No account required.


$ 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):

FieldHeaderDescription
ttlX-Transfa-TTLExpiry: 1h, 24h, 7d, 30d
password—Password-protect the download link
max_downloads—Burn after N downloads
filenameX-Transfa-FilenameOverride 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:

CategoryFormats
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

GuestFreeProTeam
Max file size10 MB500 MB50 GB100 GB
Uploads / day5205005,000
Max TTL24h48h30 days180 days
Storage——UnlimitedUnlimited
PriceFreeFree$12/mo$48/mo
Trial——3-day free trial3-day free trial

→ See full pricing


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
ToolDescription
uploadUpload 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_infoGet metadata about an upload — filename, size, SHA-256, expiry, download count, provenance fields.
list_uploadsList recent uploads (requires API key).
delete_uploadDelete an upload immediately.
run_artifactsGet 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:

  1. Generate a report → call upload → get a link → paste the link in the conversation
  2. Pass a file to another agent by sharing the agent_link
  3. Clean up with delete_upload when 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
VariableDescription
PORTServer port (default: 3001)
BASE_URLPublic URL e.g. https://transfa.sh
STRIPE_SECRET_KEYStripe secret key for billing
STRIPE_WEBHOOK_SECRETStripe webhook signing secret
STRIPE_PRO_PRICE_IDStripe price ID for Pro plan
STRIPE_TEAM_PRICE_IDStripe 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

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