Building AI-driven file transfer workflows
Patterns for letting AI agents orchestrate real file pipelines — ingest, transform, stage, notify — on top of TrueFTP's MCP server and webhooks.
File transfer is rarely the goal — it's the connective tissue between systems. A partner drops an EDI file, something validates and translates it, results get staged, a downstream job runs. Increasingly, the "something" in the middle is an AI agent. Here are practical patterns for building those workflows on TrueFTP.
The building blocks
- MCP server — the agent's hands: list, read, write, and delete files; manage FTP users.
- Webhooks — the agent's trigger:
file.uploaded,file.deleted,ftp_user.createdfire the moment something happens. - Audit events — the agent's memory:
list_eventsgives a reconcilable history of every operation.
Put together: webhooks wake the agent, MCP lets it act, events let it verify.
Pattern 1 — Ingest and validate
A partner uploads to /incoming. A webhook fires file.uploaded. Your handler invokes an agent:
"A new file arrived at
{path}. Read it, check it's valid CSV with the expected columns, and if so move it to/validated. If not, write a short error note to/rejected/{name}.txt."
The agent uses read_file, decides, then write_file/delete_file. No rules engine to maintain — the validation logic lives in the prompt and adapts as formats drift.
Pattern 2 — Transform and stage
After validation, stage results for a downstream system:
"Take every file in
/validated, convert amounts to USD, and write the normalized output to/outgoingwith the same filename. Then list/outgoingto confirm."
list_files (cursor-paginated, so it scales to large folders) → read_file → transform → write_file → list_files to verify.
Pattern 3 — Provision per-partner access
Onboarding a new partner is itself a workflow:
"Create an FTP user
acme-payrollwith write access to their folder, then tell me the connection string."
create_ftp_user returns the credentials; the agent reports the host + slug:username format. Revoke later with delete_ftp_user.
Keeping it safe
- Give agents a scoped key — read-only where they only need to observe.
- Everything is logged and versioned; reconcile with
list_eventsand roll back from S3 history if an agent misfires. - Webhooks are HMAC-signed — verify the signature before acting.
- Revoke instantly by deleting the API key.
Start building
Grab an API key under Dashboard → API Keys (Hyper / Scale plans), wire up the MCP server, and let your agents drive the pipeline. See the AI agent automation use case for a fuller picture.