Run1Ads: live Meta ads consultant
Live Meta ads consultant for e-commerce. Checks ads, Pixel and store hourly, then gives the one fix.
Use Meta Ads (Facebook Ads) with: ChatGPT · Claude · Cursor · Claude Code · VS Code
Connect it
Settings → Connectors → Add custom connector
URL: https://run1ads.ai/mcp/rpcSettings → Apps & Connectors → Advanced → Developer mode
Create connector with URL: https://run1ads.ai/mcp/rpc{
"mcpServers": {
"consultant": {
"url": "https://run1ads.ai/mcp/rpc"
}
}
}claude mcp add --transport http consultant https://run1ads.ai/mcp/rpc{
"servers": {
"consultant": {
"type": "http",
"url": "https://run1ads.ai/mcp/rpc"
}
}
}19 tools, pulled live
list_brandsread-onlyList the brands this Run1Ads account can open, with each brand id, name and whether Meta is connected. Use it first when the user manages more than one brand or names a brand, then pass brand_id to the other tools. Every other tool uses the most recently updated brand when brand_id is left out.
get_todayread-onlyStart here for "what should I do today?" or "what's wrong with my Meta ads?". Returns today's brief: the one fix to do first, other findings ranked by buyers lost (each with its item_key, the number behind it and exact steps), what changed, what is working and the live check status. It summarises the other tools; use get_performance for full numbers, get_live_alerts for every alert, get_sales_funn
get_campaignsread-onlyUse for "how are my campaigns doing?", "which campaign should I fix or give more budget?" or "where does each campaign lose buyers?". Returns each campaign (biggest spend first) with its share of budget, spend and ROAS, then every step from ad click to sale (clicked the ad, looked at a product, added to cart, went to checkout, sales) against similar stores, the one step where it loses the most buy
get_store_fixesread-onlyUse for "what should I fix on my website?" or "what on my store is costing me sales?". Returns the problems on the store that cost sales from every campaign, each listed once and ranked by impact, with what we saw, the fix, how long it takes and who does it, and what it could be worth in dollars. Found from visits from the brand's Meta ads, no recordings kept. Same view as Store fixes in the Run1A
get_performanceread-onlyUse for questions about results and goals: "what's my ROAS?", "how much did I spend?", "am I on track this month?". Returns saved Meta ads totals (spend, revenue, ROAS, purchases, click rate, cost per click, frequency) and this month's ROAS goal with the gap to it. For where buyers drop out use get_sales_funnel; for per ad tiredness use get_ad_fatigue. Saved data, refreshed by the hourly check.
get_sales_funnelread-onlyUse for "where am I losing buyers?" or "people click but don't buy". Returns each step from ad click to purchase as how many in 1,000 move on, the e-commerce benchmark per 1,000, above or below, the trend, and which step loses the most buyers. For totals like spend and ROAS use get_performance; for why visitors leave the store use get_store_checks. Saved data, refreshed by the hourly check.
get_live_alertsread-onlyUse for "is anything broken right now?" or "any alerts?". Returns when the hourly live check last ran, today so far, open alerts with critical first (for example spend with no sales, a rejected ad, a broken Pixel or store) and, unless include_resolved is false, alerts resolved in the last 7 days. Each alert says why it matters and how to fix it. get_today shows only the top items; this shows them
get_store_checksread-onlyUse for questions about the store and tracking, not the ads: "is my Pixel working?", "does my store work in the Instagram browser?", "why do visitors from my ads leave?". Returns whether the store works inside the Instagram and Facebook app browser, whether Add to Cart shows on mobile, whether the Meta Pixel fired, five store scores out of 100, the weakest product pages, and the "Problems to fix"
get_campaign_funnelsread-onlyUse for "which campaign sends the best visitors?", "which landing page is weakest?" or "where do visitors from each campaign drop out?". Returns, per campaign (utm_campaign or campaign id, plus visits not tagged with a campaign) for the last 7 and 30 days: visits, the share who left straight away (one page, no scroll past the first quarter), who viewed a product, reached the cart and reached check
get_why_no_buyread-onlyUse for "why are visitors from my Meta ads not adding to cart, not checking out or not buying?". Returns the stage strip from visit to product, add to cart, checkout and purchase (with counts, or "not visible" when we cannot see that step yet), the biggest drop against the e-commerce benchmark, and the likely causes ranked by buyers lost (about), each with its stage, how likely it is (high, medium
get_ad_fatigueread-onlyUse for "which ads are getting tired?" or "should I refresh my creative?". Returns each ad's frequency, click rate and its change, and hook rate, highest frequency first, so you can see which ads people have seen too often. For the copy and video content itself use get_ad_copy_review; for account totals use get_performance. Saved data, refreshed by the hourly check.
get_ad_copy_reviewread-onlyUse for "is my ad copy good?" or "why do viewers skip my video?". Returns a review of ads already running: first line, headline, call to action and link, with a score and specific issues, plus video ads from the last 7 days with hook rate, hold rate, where viewers drop off, a visual review of the frames and fix steps. For which ads are tired use get_ad_fatigue. Saved data from the latest review.
get_audiencesread-onlyUse for "who is buying?", "which placement works best?" or "is my custom audience big enough?". Returns buyers in the period, saved custom audiences with size and whether each is big enough to deliver, and results split by placement (Instagram, Facebook, Reels, Stories). For overall ROAS use get_performance; for funnel drop offs use get_sales_funnel. Saved data from the latest Meta read.
get_competitor_changesread-onlyUse for "what are my competitors doing?". Returns recent changes in the brand's chosen competitors' Meta ads as conclusions: what changed, what it means for this brand and what to do (or that nothing is needed). We study their ads so the user does not have to; competitor ads themselves are not shown. Competitors are set in the Run1Ads app.
get_fix_listread-onlyUse for "what have I committed to?" or "did my fix work?". Returns the fixes the user chose to do, filtered by status (open, done or all, default all), each with its fix_id and, once newer data is saved, whether the tracked number moved after the fix was marked done. Use the fix_id with mark_fix_done. For new findings use get_today.
add_to_fix_listAdd a fix to the brand's Run1Ads fix list. Pass item_key from get_today to add that finding with its steps and the number to track, or pass your own title. Writes to Run1Ads only. Nothing changes in Meta or on your store.
mark_fix_doneMark a fix on the fix list as done. Run1Ads records the number at that moment so it can show whether the fix worked once newer data is saved. Writes to Run1Ads only.
ask_consultantread-onlyAsk the Run1Ads consultant a question about this brand in plain English. It answers from the saved account data only, with exact steps you can apply. It advises only and never changes anything. Up to 10 questions per brand per day, shared with the app.
send_paused_draftSend one finding from get_today to the brand's own Meta ad account as a PAUSED campaign and ad set, so you can finish and switch it on yourself in Ads Manager. Nothing spends. Only findings marked draftable can be sent. Only use this when the user has clearly asked for it, and pass confirm true. Without confirm it returns a preview and sends nothing.
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