21 posts tagged with "Automation"

TL;DR​

• The Aircall MCP server covers calls, contacts, users, teams, numbers, tags, comments, and narrow writes — built for follow-up lists and coverage audits, not one-call summaries.
• Missed-call triage, shift handoffs, contact hygiene, and tag consistency are the workflows support leads actually run from chat.
• Dashboards still own standard reporting; the agent handles the messy questions that mix calls, contacts, queues, and availability in one answer.

Friday standup, ten missed calls on the board from a meeting that ran long. Two numbers match existing customers. One hit a line that should've gone to sales. Half the team still shows unavailable in Aircall. Tags on the escalations don't match what the weekly report expects. The manager doesn't want a CSV — she wants names, numbers, and who owns the callback.

I've watched that handoff eat twenty minutes of admin clicking. The Aircall integration on MCPBundles is for compressing it.

TL;DR​

• The PrestaShop MCP server is built for store-operation loops — catalog, stock, orders, promotions, carriers, customer threads — not one-off product lookups.
• Pre-launch catalog cleanup, Friday order triage, variant stock checks, and localization audits are the workflows ops leads run across five admin tabs.
• Multi-shop installs need scope in the question; the same SKU can differ by stock and price per shop.

Your summer collection went live yesterday. Half the size and colour combos are hidden. Two homepage categories are empty because nothing underneath is active. A holiday promotion expired last week but still shows on the storefront. Shipping for one zone is broken. Nobody noticed until support tickets piled up.

That's catalog, stock, orders, promotions, carriers, and messages — not a screenshot question.

The PrestaShop integration on MCPBundles is for those threads.

Most ATS automation starts with a shallow question: can an agent create, read, update, and delete candidates?

That is the wrong first question. Recruiting work follows companies, open roles, pipeline stages, and candidates — not a flat contact list. If the agent only knows "update candidate," it still has to guess which role and which stage you mean.

The Breezy HR MCP server is built for recruiting workflows: see which roles are open, who is waiting in Applied or Interviewing, add a sourced candidate to the right job, and move people through stages when the hiring team is ready.

Most "AI for research papers" demos stop at search: find a paper, summarize it, maybe extract a citation. Useful for a screenshot, useless for a real review.

Picture this instead. You have 240 papers saved in Mendeley for a RAG-evaluation review. Forty are missing DOIs. Eighteen have a citation record but no attached PDF. Six are duplicates from earlier exploratory searches. Your shared group library has 30 newer papers your collaborator added last week that you have not seen yet. None of that shows up in a "search the web" demo.

We rebuilt the Mendeley MCP server around that mess. An agent now works with your library as a library — saved papers, missing metadata, PDF files, folders, annotations, groups, trash, and all.

We ran into a problem a few weeks ago that none of our tools could solve. It wasn't a technical problem — the code was fine, the infra was fine. We just needed someone to go do a thing on a website. Sign up, click around, grab some information, paste it into a form. Repeat a bunch of times.

AI couldn't do it. The sites had captchas, email verification, multi-step flows. We tried browser automation and it broke immediately. We needed a person.

So we thought: what if our AI agent could just hire one?

Every AI platform supports MCP tools. But what happens when the tool you need doesn't exist yet? Maybe you're working with an internal API, a niche SaaS, or a service that nobody has wrapped in MCP. Until now, you'd write a custom server.

Now your AI can do it itself.