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3 posts tagged with "Advertising"

Digital advertising and ad campaign management

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Google Ads for Agencies: Pick the Client, Then Run the Account with AI

· 4 min read
MCPBundles

TL;DR

Most PPC work is still agency-side — the 2025 State of PPC survey had 1,152 respondents and 72% of them run client campaigns; more than half said the job got harder in the last two years. Switching and admin eat the week (MarTech puts paid media managers at 5–9 hours of admin; Practiq models 7–10 hours lost to context-switching on a dozen small retainers). On MCPBundles you name the client in chat, confirm when two names collide, then ask for spend or search terms without opening the whole manager account tree first.

Picture Monday standup. Four brands need a quick read and you're still in the account picker for the second one while the first client's pacing question goes stale. Chat only works when the opening line sounds like your job — "How did Riverside Dental spend last week?" — not "Here are eighty accounts, pick one."

Google Ads with AI: Research Keywords, Build Campaigns, and Read Performance from a Chat

· 10 min read
MCPBundles

Google Ads with AI

Most performance-marketing work in Google Ads is repetitive cognitive labour. Pull a search-term report, find the queries that wasted spend last week, write the negative-keyword list. Look at device performance, find that mobile CPC is up 40% with the same conversion rate, draft a bid adjustment. Spin up a campaign for next week's promo: budget, ad group, 15 keywords, an RSA with 11 headlines and 4 descriptions, all in PAUSED so nothing goes live by accident.

Each of those is a 20-minute task in the Google Ads UI and a 30-second task as a chat message — if your AI agent can actually call the Google Ads API. This guide is the use-case version of "AI + Google Ads": what you ask, what the agent does, what comes back. The protocol underneath is MCP (Model Context Protocol), the bundle is /skills/google-ads on MCPBundles, but the framing here is workflow-first.

LinkedIn MCP Servers: Pages, Posts, Ads, and Sales Navigator with AI

· 13 min read
MCPBundles

LinkedIn MCP Server

Every other LinkedIn MCP server on GitHub is either a scraper that violates LinkedIn's Terms of Service or a thin wrapper around unofficial endpoints that can break at any time. Some use Patchright (a Playwright fork) to automate the browser. Others reverse-engineer private APIs. LinkedIn actively blocks these — and your account is at risk if you use them.

MCPBundles ships two LinkedIn MCP servers that work the way LinkedIn allows you to work:

  • LinkedIn — built on LinkedIn's official REST API with OAuth 2.0. Manages company pages, publishes posts with images and carousels, engages with comments and reactions, runs ad campaigns, and tracks analytics.
  • LinkedIn Sales Navigator — drives Sales Navigator search, profile lookups, InMail, and inbox as your connected LinkedIn account. Sign in once on a hosted page (no cookies, no extensions, no scraping); the bundle then runs SN-grade prospecting and outreach with built-in per-account rate caps so a careless agent can't get the seat banned.

You can connect either or both. The pages are the canonical product surfaces — keep this article open if you want the comparison; jump to the skill page when you're ready to use one.