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instacart · MCP Server

From Instacart to AI Agent — Improvado MCP

Improvado gives your AI agent direct access to Instacart Ads data through an MCP server. Query ROAS, sponsored product performance, keyword bids, and share of voice — all in natural language. Works with Claude, ChatGPT, Cursor, and any MCP-compatible tool.

46K+ metrics ·Read & Write access ·500+ platforms ·<60s setup
Read

Read: Pull Instacart Campaign Metrics Instantly

No more navigating the Instacart Ads Manager or waiting for weekly reports. Ask your AI agent for ROAS by product, keyword performance, impression share, or basket composition — across any campaign, category, or date range.

Example prompts

"What's my ROAS by product category on Instacart this week? Compare sponsored vs organic sales."

45 min → 30 sec

"Show top 10 keywords by attributed sales this month. Include CPC and conversion rate."

20 min → 20 sec

"Compare Instacart performance across all active campaigns for Q1 vs Q2. Focus on ROAS and new-to-brand rate."

2 hrs → 2 min
Works with Claude ChatGPT Cursor +5
Write

Write: Optimize Campaigns Without Leaving the Chat

Your AI agent doesn't just read Instacart data — it acts on it. Adjust keyword bids, pause underperforming campaigns, and update budget allocations directly through natural language.

Example prompts

"Increase bids by 15% on keywords with ROAS above 400% in the last 7 days."

1 hr → 5 min

"Pause all sponsored product campaigns where ROAS dropped below 150% in the last 14 days."

30 min → 30 sec

"Clone the Q4 hero campaign, update start date to next month, and set budget to $50K."

1.5 hrs → 10 min
Every action logged · Fully reversible · SOC 2 certified
Monitor

Monitor: Track Retail Media Performance Automatically

Set up watches on the metrics that matter for retail media. Your AI monitors Instacart campaigns and flags share-of-voice drops, ROAS degradation, and budget pacing issues before they impact sell-through.

Example prompts

"Alert me if ROAS on any active campaign drops more than 25% compared to the prior 7-day average."

Manual → auto

"Every Friday at 4pm: send a weekly summary of spend, attributed sales, and ROAS by product category."

2 hrs → auto

"Flag any campaign that has spent more than 90% of its monthly budget before the 20th of the month."

Manual → auto
Alerts sent to Slack, email, or your AI agent
Full cycle

The Closed Loop: Read → Decide → Write → Monitor

Your AI agent doesn't just surface data — it acts. Adjust pricing, update product descriptions, manage inventory, apply discounts — all through natural language. The MCP server translates intent into API operations.

Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.

Ideate
Launch
Measure
Analyze
Report
Iterate

One conversation. All six phases. Every platform.

The daily grind

Common problems. Direct answers.

Challenge 1

Sponsored vs. Organic Attribution Is Unclear

The problem

Instacart reports sponsored and organic sales separately, but there's no built-in view showing the total incrementality of campaigns. Teams manually combine reports in spreadsheets to estimate true ROAS — a process that takes hours and produces inconsistent numbers each cycle.

How MCP solves it

Improvado normalizes Instacart sponsored and organic data into a unified schema. The MCP server lets your AI calculate true incremental ROAS in one query, combining both data streams with consistent logic applied every time.

Try asking
What's the true incremental ROAS for our top 5 campaigns, combining sponsored and halo organic sales?
Answer in seconds
All data sources, one query
Challenge 2

Keyword Bidding Decisions Lag by Weeks

The problem

Bid adjustments depend on fresh keyword-level performance data. But pulling that data from Instacart Ads Manager, cleaning it, and distributing it to the team that makes bidding decisions takes several days. Campaigns run on stale data until the next reporting cycle.

How MCP solves it

Improvado extracts keyword-level performance data from Instacart daily. The MCP server makes it queryable instantly. Ask for bid recommendations based on current CPC and conversion data — no manual export, no waiting.

Try asking
Which keywords have CPC above $1.20 but conversion rates below 2%? Recommend bid reductions.
Full detail preserved
No data loss on export
Challenge 3

Cross-Retailer Benchmarking Requires Manual Work

The problem

Retail media teams running campaigns on Instacart, Walmart Connect, and Kroger Precision Marketing have no unified view. Comparing ROAS, impression share, and new-to-brand rates across retailers means logging into three separate platforms and building a spreadsheet from scratch.

How MCP solves it

Improvado's Marketing Common Data Model normalizes retail media data across all major platforms. The MCP server lets your AI compare Instacart performance against other retail media networks in a single query.

Try asking
Compare ROAS and new-to-brand rate across Instacart, Walmart Connect, and Kroger for Q2.
Unified data model
Compare anything side by side
👥 Teams

One Framework. Five Roles. Zero Setup.

Same MCP connection, different workflows for every team member. Each role asks in natural language — the MCP server handles the complexity (rate limits, auth, schema normalization, governance) behind the scenes.

Agency CEO
Portfolio health. Client risk. Revenue signals.
Media Strategist
70% strategy, not 70% ops. Auto campaign QA.
Marketing Analyst
Zero wrangling. Cross-platform. AI narratives.
Account Manager
QBR decks auto-generated. Call prep in 30s.
Creative Director
Performance-to-brief. Predict winners before spend.
FAQ

Common questions

What Instacart data can I access through the MCP server?
Sponsored product and display campaign metrics (impressions, clicks, spend, attributed sales, ROAS, NTB rate), keyword-level performance, share of voice data, budget pacing, and campaign settings. Organic sales data is also available when connected via Instacart's retail data feeds.

Does this work with Instacart Ads and retail data separately?
Yes. The MCP server can connect to Instacart Ads for campaign performance and to Instacart's retail data feeds for organic sales, basket data, and category share. Both can be queried independently or combined — all through Improvado's hosted MCP server.

Which AI tools work with this Instacart MCP server?
Any MCP-compatible client — Claude Desktop, ChatGPT, Cursor, Windsurf, Gemini, and custom applications using MCP HTTP transport. Claude has native MCP support and is most commonly used for retail media analysis — all through Improvado's hosted MCP server.

Can I compare Instacart campaigns against other retail media platforms?
Yes. Improvado normalizes retail media data from Instacart, Walmart Connect, Kroger Precision Marketing, Target Roundel, and other platforms into a unified schema. Your AI agent can benchmark across networks in a single query.

Is my Instacart data secure through the MCP server?
Yes. Improvado stores all credentials in an encrypted vault under SOC 2 Type II controls. Your AI agent queries data through Improvado's secure proxy — raw API credentials are never exposed to the AI model.

How long does setup take?
If you're already an Improvado user with Instacart connected, start querying immediately at app.improvado.io/agent. For Claude Desktop or Cursor, add one line to your MCP config — setup takes under 60 seconds.

Stop Reporting. Start Executing.

Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.

SOC 2 Type II GDPR 500+ Platforms