原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Transfa

作者:colapsis版本 1.0.1i★ –i在你的电脑上运行
注册名称io.github.colapsis/transfa

安装

概览

作者提供的说明(英文原文)

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他
  • 你需要填写:TRANSFA_API_KEY

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: TRANSFA_API_KEY, TRANSFA_BASE_URL

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

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

在终端中运行这条命令

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

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • TRANSFA_API_KEY 机密 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

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 colapsis 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32505 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32505 个服务器的 9% 更新
  • 基础检查结果等于或优于此分类中其他 32505 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Transfa 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:TRANSFA_API_KEY

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.0.1)于6个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, topo^alpin

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

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

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

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

在云端运行★ 211昨天更新
安装

topo^alpin

作者:topoalpin.app

Avalanche bulletins and mountain weather forecasts for any place in the Alps.

在云端运行今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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

问 PopNx