singular · MCP Server

Decode Your Singular Attribution — Improvado MCP

Improvado's MCP server connects Singular to Claude, Cursor, and other AI agents. Query ROAS, installs, SKAdNetwork conversions, and campaign performance across all channels — in natural language, without logging into yet another dashboard.

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

Read

Read: Pull Attribution Metrics Without the Dashboard

Ask your AI agent for ROAS, install volumes, CPI, retention, and attribution breakdowns by channel, campaign, or creative. The MCP server handles Singular's API and returns analysis-ready answers.

Example prompts

"What's my blended ROAS across all paid channels this week? Break it down by iOS and Android."

30 min → 1 min

"Show me Day 7 retention by acquisition channel for users acquired in the last 30 days."

45 min → 2 min

"Which campaigns had CPI below $3 and ROAS above 2x in Q1? Rank by install volume."

2 hrs → 2 min

Works with Claude ChatGPT Cursor +5

Write

Write: Update Campaign Settings from the Conversation

Your AI agent can update Singular configurations, adjust campaign parameters, and trigger data exports without switching tools. Describe the change — the MCP server handles the API call.

Example prompts

"Update the cost import configuration for the Facebook campaign set to use yesterday's exchange rate."

20 min → 30 sec

"Trigger a manual data refresh for the Google Ads connector — pull the last 7 days of attribution data."

15 min → 20 sec

"Export the creative performance report for last month as a structured dataset, grouped by ad network."

30 min → 1 min

Every action logged · Fully reversible · SOC 2 certified

Monitor

Monitor: Attribution Drift and ROAS Anomalies

Set watches on ROAS thresholds, install volume drops, and SKAdNetwork conversion funnel health. Your AI agent monitors Singular data continuously and alerts when performance shifts.

Example prompts

"Alert me if ROAS for any active campaign drops more than 25% vs. its 7-day average."

Manual → auto

"Every Monday: send a summary of last week's installs, CPI, and Day 1 retention by channel."

2 hrs → auto

"Flag if SKAdNetwork-reported install volume drops more than 30% compared to the prior week."

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

iOS Attribution Gaps After SKAdNetwork

The problem

Since iOS 14+, teams using Singular face fragmented attribution — SKAdNetwork provides limited conversion values, probabilistic modeling covers some gaps, and MMP-reported ROAS often doesn't reconcile with platform-reported data. Building a complete picture requires manual reconciliation across sources.

How MCP solves it

Improvado normalizes Singular's SKAdNetwork, probabilistic, and deterministic attribution data into a unified model. The MCP server lets teams ask cross-attribution questions without manually reconciling data exports.

Try asking

Compare SKAdNetwork-attributed installs vs. probabilistic installs for iOS campaigns this month. Where's the biggest gap?

Answer in seconds

All data sources, one query

Challenge 2

Creative Performance Takes Too Long to Analyze

The problem

Understanding which creatives drive downstream ROAS — not just clicks — requires joining creative metadata with attribution data. This cross-object analysis is time-consuming in Singular's UI and rarely done at the frequency needed for optimization.

How MCP solves it

Improvado joins Singular's creative and attribution data in a normalized schema. The MCP server lets teams ask creative performance questions that span installs, retention, and revenue — in a single conversation.

Try asking

Which video creatives drove the highest Day 30 ROAS on paid social in the last 60 days?

Full detail preserved

No data loss on export

Challenge 3

Cross-Network Comparison Requires Manual Data Merging

The problem

Comparing Meta, Google UAC, Apple Search Ads, and programmatic channels requires exporting separate reports from Singular, normalizing column names, and building cross-network pivot tables. Most teams do this once a week at best.

How MCP solves it

Improvado's data model normalizes Singular's multi-network attribution data into a common schema. Teams can compare CPI, ROAS, and retention across all networks in one question — without any manual merging.

Try asking

Compare CPI and Day 7 ROAS across Meta, Google UAC, and Apple Search Ads for the last 30 days.

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

Does Singular have a native MCP server?

Singular does not provide a native MCP server. Improvado's MCP server connects Singular to Claude, Cursor, ChatGPT, and other MCP-compatible AI tools — handling API authentication, attribution data normalization, and query execution in natural language.

Which Singular data is accessible through the MCP server?

Improvado exposes campaign performance metrics (installs, ROAS, CPI, retention), SKAdNetwork conversion data, creative performance, cohort data, and cost aggregation across networks. Attribution source breakdown — deterministic, probabilistic, and SKAdNetwork — is all queryable.

Can the MCP server handle SKAdNetwork data from Singular?

Yes. Improvado ingests Singular's SKAdNetwork conversion values and normalizes them alongside other attribution types. Teams can query SKAdNetwork-attributed installs, conversion value distributions, and compare them against probabilistic and deterministic attribution in the same conversation.

Can I combine Singular data with other ad network data through the same MCP connection?

Yes — this is one of Improvado's core capabilities. The same MCP connection gives your AI agent access to 1,000+ marketing data sources. Teams can correlate Singular attribution data with raw platform data from Meta, Google, and Apple Search Ads in a single question.

What AI tools work with the Singular MCP server?

Any MCP-compatible tool — including Claude Desktop, ChatGPT, Cursor, Windsurf, and Gemini. Improvado's MCP server uses HTTP transport, making it compatible with any application built on the Model Context Protocol standard.

How is Singular API access secured through Improvado?

Improvado stores Singular API credentials in an encrypted vault. Credentials are never exposed to the AI agent or included in query results. All data flows through Improvado's SOC 2 Type II certified infrastructure with full audit logging.

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