singular
 · MCP Server

Singular MCP — Mobile Attribution Data, AI-Ready

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.

Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.

Example prompts
"Show anomalies across all accounts" 2h → 40s
"CPL in New York vs. California?" 1h → 30s
"ROAS by campaign type, last 30 days" 45m → 15s
Works with Claude ChatGPT Cursor +5
Write actions
"Launch A/B test, $5K budget" 5 days → 20m
"Shift 20% of Display to PMax" 2h → 1m
"Pause all ad groups with CPA > $50" 30m → 10s
🛡 Every action logged · Fully reversible · SOC 2 certified
🚀 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.

250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II 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.

Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.

Monitor prompts
"Flag ad groups over 120% budget" 3h → 1m
"Weekly report: spend, CPA, anomalies" 3h → auto
"Which creatives are fatiguing?" 2h → 30s
Alerts sent to Slack, email, or your AI agent
💡
Ideate
🚀
Launch
📈
Measure
🔍
Analyze
📝
Report
🔄
Iterate
One conversation. All six phases. Every platform.
🔄 Full Cycle

The Closed Loop: Read → Decide → Write → Monitor

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.

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

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
"Show ROAS across all 120 accounts"
Answer in seconds
All data sources, one query
Try asking
"What's my CPL in New York vs. California?"
🔍
Full detail preserved
No data loss on export
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.

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
"PMax vs. Search ROAS for Q1?"
⚖️
Unified data model
Compare anything side by side
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.
👥 Teams

One Framework. Five Roles. Zero Setup.

Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.

Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.

Frequently Asked 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 500+ 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.

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 500+ 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
46K+ Metrics