Apollo MCP — Your Sales Intelligence, One Question Away
Improvado MCP extracts data from Apollo and makes it queryable by any AI agent. Ask about sequence performance, contact enrichment, and engagement metrics without opening a single dashboard.
46K+ metrics · Read & Write access · 500+ platforms · <60s setup
Ask Any Question About Your Sales Intelligence Data
Improvado MCP connects your Apollo data to AI, so teams can query contact enrichment results, sequence performance, email engagement, and prospecting metrics in plain English — no SQL, no manual exports.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Which sequences had the highest reply rates?
45 min → 30 sec
Show contacts enriched in the last 7 days
Manual → auto
What's the open rate trend for outbound emails?
2 hrs → 1 min
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
Pause sequences with open rates below 15%
1 hr → 2 min
Add high-intent contacts to priority outreach list
Manual → auto
Update job titles for contacts at target accounts
3 hrs → 5 min
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
Act on Insights Without Leaving Your AI Workflow
Update contact lists, pause underperforming sequences, and trigger follow-up actions directly from your AI agent — without switching context or opening Apollo manually.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Stay Ahead of Engagement Drops and Sequence Performance
Monitor reply rate changes, contact enrichment quality, and sequence performance automatically — your AI agent surfaces what matters before it impacts pipeline.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Alert me if sequence reply rates drop 30%
Daily manual → auto
Which sequences haven't generated replies in 14 days?
Weekly report → instant
Track new contacts added to key account lists
Manual → auto
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
One conversation. All six phases. Every platform.
The Closed Loop: Read → Decide → Write → Monitor
Update contact lists, pause underperforming sequences, and trigger follow-up actions directly from your AI agent — without switching context or opening Apollo manually.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
Scattered Sales Intelligence Metrics
THE PROBLEM
Teams spend hours pulling Apollo reports manually to understand sequence performance and contact engagement patterns.
HOW MCP SOLVES IT
Improvado MCP extracts Apollo data and makes it instantly queryable via AI — no manual exports needed.
Show reply rates for all sequences this quarter
Try asking
"Show ROAS across all 120 accounts"
⚡
Answer in seconds
All data sources, one query
List all sequences with no opens in 30 days
Try asking
"What's my CPL in New York vs. California?"
🔍
Full detail preserved
No data loss on export
Slow Contact List Audits
THE PROBLEM
Auditing contact enrichment quality, stale sequences, and engagement trends requires navigating multiple screens and manual tracking.
HOW MCP SOLVES IT
AI agents query contact and sequence data directly and surface underperforming assets in seconds.
Delayed Response to Engagement Drops
THE PROBLEM
Declining reply rates or unexpected sequence performance issues go unnoticed until they hurt pipeline generation.
HOW MCP SOLVES IT
Continuous monitoring surfaces anomalies automatically — teams get alerts before issues escalate.
Flag sequences with reply rate drops above 40%
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
Apollo MCP is an integration that connects Apollo sales intelligence data to AI agents via the Improvado MCP server. It allows teams to query contact enrichment, sequence performance, and engagement metrics using plain-language prompts.
What data does Improvado extract from Apollo?
+
Improvado extracts contact enrichment data, sequence performance metrics, email engagement stats, prospecting activity, and account intelligence from Apollo, making all of it queryable through connected AI agents.
Do I need to write code to use Apollo MCP?
+
No. Once Improvado MCP is configured, you interact with your Apollo data through plain-language prompts in your AI agent — no SQL or scripting required.
Can I monitor Apollo sequence performance automatically?
+
Yes. You can set up AI-driven monitoring that tracks reply rates, open rates, and sequence activity — surfacing anomalies without manual review.
How is this different from the Apollo UI?
+
The Apollo UI is manual and siloed. Improvado MCP makes the same data available to AI agents that can query, correlate, and act on it alongside data from other tools.
Which AI agents work with Apollo MCP?
+
Improvado MCP works with any MCP-compatible AI agent, including Claude, custom LLM pipelines, and enterprise AI platforms that support the Model Context Protocol.
What is Apollo MCP?
Apollo MCP is an integration that connects Apollo sales intelligence data to AI agents via the Improvado MCP server. It allows teams to query contact enrichment, sequence performance, and engagement metrics using plain-language prompts.
What data does Improvado extract from Apollo?
Improvado extracts contact enrichment data, sequence performance metrics, email engagement stats, prospecting activity, and account intelligence from Apollo, making all of it queryable through connected AI agents.
Do I need to write code to use Apollo MCP?
No. Once Improvado MCP is configured, you interact with your Apollo data through plain-language prompts in your AI agent — no SQL or scripting required.
Can I monitor Apollo sequence performance automatically?
Yes. You can set up AI-driven monitoring that tracks reply rates, open rates, and sequence activity — surfacing anomalies without manual review.
How is this different from the Apollo UI?
The Apollo UI is manual and siloed. Improvado MCP makes the same data available to AI agents that can query, correlate, and act on it alongside data from other tools.
Which AI agents work with Apollo MCP?
Improvado MCP works with any MCP-compatible AI agent, including Claude, custom LLM pipelines, and enterprise AI platforms that support the Model Context Protocol.
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
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