dsh-lines

dsh-lines

Turn a sequence of tool calls that already works into a named pipeline that runs on our servers on a schedule, with a receipt per run — plus recurring watch tasks that notify you only when a result actually changes.

What & why

The case for this is narrow and worth stating plainly: it is only worth it when the same steps have to run repeatedly and unattended. If you run something once, call the tools directly — you do not need this. What you get instead of an open session is: it keeps running when your machine is off, each run produces a checkable receipt, and steps chain by $prev.field so the second step reads the first one's output.

Every set ships what_can_you_do — describe a task in any language, get the exact tool plus a ready-to-run call.

What's in this pack

9 tools, read from the live endpoint on 2026-08-22 — this table is generated, not hand-written, so it cannot drift away from what tools/list actually returns. The Arguments column is what the tool genuinely reads; it comes from the tool's own declared input schema.

Tool	What it does	Arguments	Price / call
what_can_you_do	Describe a task in plain language (any language) and get back exactly which tools on this server do it, with ready-	task	—
create_pipeline	Turn the tool calls you just made into a repeatable pipeline that runs on our servers. Each run produces a work ord	name, steps	—
run_pipeline	Execute one of your pipelines immediately and get the work order (per-step results and proofs). The scheduler calls	id	—
list_pipelines	Pipelines on this workspace: steps, trial/paid status, run counts, work-order pages.	— (no arguments)	—
delete_pipeline	Remove a pipeline. Its scheduled task (if any) will start failing — delete that too.	id	—
create_task	Create a task that runs on a schedule in our cloud — you do not keep anything running. It only notifies you when th	kind, input, interval_seconds, notify_url	—
list_tasks	Show the scheduled tasks on this workspace, when each runs next, how many times it has run and what it has cost so	— (no arguments)	—
get_task_runs	Recent runs of one scheduled task: what it returned, whether the result changed, and what each run cost.	task_id, limit	—
delete_task	Stop and remove a scheduled task and its run history.	task_id	—

— in the price column means the tool is not metered per call (session/trial-gated instead). Failed calls are never charged. Check it yourself:

curl -s -X POST https://ainetcafe.com/mcp/lines -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

Install

dsh plugin --profile <your-profile> add github:mario03690/dsh-lines

Thin config layer only (one @deepseek-ai/dsh-mcp-client row, shipped as cordis.patch.yml) — no tool code runs on your machine. Built against the MCP client config shape of the dsh v0.1 developer preview; verified against the live endpoint on 2026-08-22.

Cost, quota, privacy

Trial: 7 days or 60 runs, whichever comes first, then a subscription. Runs that fail their own self-check are not counted against your usage. create_task watch jobs (e.g. daily China-reachability for 30 days) are separate and free.

No signup for the free anonymous quota. Documents are processed in memory and not retained. The config URL carries ?s=dsh-lines — a channel tag identifying the install path, not you.

Disclosure: built and run by the team behind ainetcafe.com — our own service, free tier plus paid usage. Full bundle (everything at once): dsh-netcafe. MIT.

Compatibility & permissions (at a glance)

Signal	This plugin
Runtime	dsh v0.1 developer preview (Cordis v4). Touches only the MCP client config shape — the narrowest surface available. Verified against a live endpoint on 2026-08-22.
What runs locally	Nothing. Ships one cordis.patch.yml row; there is no tool code, no build step and no lifecycle script in this package.
Filesystem access	None.
Shell / process access	None.
Network access	Outbound HTTPS to ainetcafe.com only, from the MCP client that dsh already ships.
Credentials	None required for the free tier. An optional AllRouter key, if you supply one, is sent by dsh as a request header and is never stored by us.
Data retention	Documents and prompts are processed in memory and not retained.
Dependencies	One peer dependency: @deepseek-ai/dsh-mcp-client (ships with dsh).
License	MIT (see LICENSE).
Publisher	The team that runs ainetcafe.com. Issues get a same-day reply.

A directory listing is not a security review. Read cordis.patch.yml — it is short enough to read in full in under a minute.