transfa.shSeamless file transfers designed for autonomous AI workflows without human bottlenecks

Transfa.sh — File Sharing for AI Agents & Developers

Transfa.sh eliminates friction from file transfers for autonomous systems and developers. One command uploads any file up to 100 GB and returns a signed, shareable URL—no accounts, no browser, no configuration required.

Product Highlights

• Zero-Auth Uploads: Start immediately with no signup, API keys, or credentials—just tf upload and go
• MCP-Native Integration: Drop-in MCP server gives Claude, Cursor, and any MCP host native transfa.upload, transfa.fetch, and transfa.list tools
• Streaming Architecture: Pipe files directly from stdin—ffmpeg outputs, database dumps, generated images—without temp files or memory bloat
• Idempotent Operations: Re-uploading the same file returns the existing link, making retries and loops safe and efficient
• Structured JSON Output: Every command emits machine-parseable results with checksums, expiration timestamps, and byte counts via --json
• Enterprise Security: HMAC-signed URLs with optional one-time access, password gating, and comprehensive audit logging with SIEM streaming

Use Cases

• AI Agent Artifacts: Let autonomous agents publish build outputs, screenshots, and dataset slices for human review with zero friction
• Large Context Bypass: Fetch files that exceed LLM context windows by reference—agents download and process externally
• CI/CD Pipeline Outputs: Stream build artifacts, test reports, and deployment packages directly from your automation workflows
• Cross-Team Data Handoff: Securely transfer large files between engineering, data science, and operations without email attachment limits or cloud storage provisioning

Target Audience

Transfa.sh serves AI engineers building autonomous agent systems, DevOps teams automating file workflows, and developers who need programmatic file transfer without the overhead of traditional cloud storage. Trusted by 14,200+ builders at Anthropic, LangChain, Replicate, Modal, Cursor, Hugging Face, Vercel, and Browserbase.