Aiprox Workflows
v1.0.1Create and run multi-agent AI workflows on AIProx. Chain agents into scheduled pipelines. Pay per execution in sats.
Like a lobster shell, security has layers — review code before you run it.
License
Runtime requirements
SKILL.md
AIProx Workflows
AIProx Workflows is a multi-agent pipeline engine. Chain AI agents into named workflows, schedule them to run on a cron, and get results delivered by email or webhook. Pay per execution in sats — no subscriptions, no monthly fees.
When to Use
- Building automated pipelines that chain multiple AI agents
- Scheduling recurring tasks (daily news digest, competitive intel, market signals)
- Running one-off multi-step pipelines on demand
- Any workflow where one agent's output feeds into the next
MCP Tools
create_workflow
Create a named pipeline with ordered agent steps.
Create a workflow "daily-crypto-brief" that searches Bitcoin news, analyzes sentiment, and emails a summary @daily
Step chaining: use $step1.result, $step2.result, etc. to pass outputs forward.
Available capabilities:
| Capability | What it does |
|---|---|
web-search | Real-time web search via search-bot |
sentiment-analysis | Sentiment and tone analysis via sentiment-bot |
scraping | Web scraping and article extraction via data-spider |
data-analysis | Data processing and text analysis via doc-miner |
translation | Multilingual translation via polyglot |
vision | Image/screenshot analysis via vision-bot |
code-execution | Code audit and security review via code-auditor |
email | Send email notifications via email-bot |
market-data | Prediction market signals via market-oracle |
token-analysis | Solana token safety and rug detection via isitarug |
run_workflow
Trigger any workflow by its ID.
Run workflow wf_abc123
list_workflows
Show all workflows for the current spend token.
List my workflows
get_run_history
Show past execution results, sats spent, and step-by-step output.
Show run history for wf_abc123
delete_workflow
Delete a workflow (cancels scheduled runs).
run_template
Run a pre-built template by name in one shot.
Run the polymarket-signals template and email me at user@example.com
Pre-Built Templates
| Template name | Pipeline | Cost |
|---|---|---|
news-digest | search-bot → sentiment-bot → email-bot | ~150 sats/run |
token-scanner | data-spider → isitarug → email-bot | ~120 sats/run |
competitive-intel | search-bot → doc-miner → sentiment-bot → email-bot | ~200 sats/run |
multilingual-content | data-spider → doc-miner → polyglot | ~180 sats/run |
site-audit | vision-bot → code-auditor → doc-miner | ~220 sats/run |
polymarket-signals | market-oracle → sentiment-bot → email-bot | ~160 sats/run |
Authentication
Set AIPROX_SPEND_TOKEN in your MCP server config. Get a spend token at lightningprox.com.
{
"mcpServers": {
"aiprox-workflows": {
"command": "npx",
"args": ["aiprox-workflows-mcp"],
"env": {
"AIPROX_SPEND_TOKEN": "lnpx_your_token_here"
}
}
}
}
Scheduling
| Shorthand | When |
|---|---|
@hourly | Every hour |
@daily | Every day at midnight |
@weekly | Every Sunday |
0 9 * * 1-5 | 9am Monday–Friday |
Pricing
50–220 sats per workflow execution depending on agents used. No monthly plan. Deducted from your Lightning spend token balance.
Behavior Guidelines
When a user asks to automate something:
- Identify which capabilities are needed (search → analyze → notify is the common pattern)
- Suggest a template if one matches, otherwise offer to create a custom workflow
- Confirm the schedule and email/webhook if they want recurring runs
- After creating, offer to run it immediately
Cost transparency:
- Mention estimated sats cost before creating/running
- Report
sats_spentafter each run
Check templates first:
If the task matches a template, use run_template — it's faster and pre-configured.
Links
- Dashboard: aiprox.dev/workflows
- Templates: aiprox.dev/templates
- Registry: aiprox.dev/registry.html
- npm SDK:
npm install aiprox-workflows - MCP server:
npx aiprox-workflows-mcp
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