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Improvado gives your AI agent direct access to Lemlist campaign data through an MCP server. Query sequence performance, reply rates, step drop-off, and lead engagement across all campaigns in natural language. Works with Claude, ChatGPT, Cursor, and any MCP-compatible tool.
Skip the Lemlist dashboard. Ask your AI agent for reply rates, open rates, bounce data, or sequence performance across every campaign and time period. The MCP server handles all API calls.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Your AI agent doesn't just read Lemlist data — it acts on it. Pause underperforming sequences, update follow-up steps, move leads between campaigns, and adjust send schedules through natural language.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Set up watches on reply rates, bounce rates, and sending domain health. Your AI agent monitors Lemlist campaigns continuously and flags problems before they hurt deliverability.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Your AI agent doesn't just read Lemlist data — it acts on it. Pause underperforming sequences, update follow-up steps, move leads between campaigns, and adjust send schedules through natural language.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
Outbound teams run dozens of parallel sequences targeting different personas and verticals. Comparing performance across all of them requires navigating individual campaign dashboards, exporting data, and building comparison spreadsheets every time a decision needs to be made.
Improvado extracts all Lemlist sequence and step-level data into a unified model. AI agents can compare performance across all active campaigns in one query — reply rates, open rates, and conversion by sequence, step, and persona.
High bounce rates and spam flags degrade sending domain reputation gradually. Teams often discover deliverability problems only when open rates collapse or emails land in spam — by which time the domain's reputation has already suffered.
Improvado monitors Lemlist email delivery metrics continuously. AI agents surface bounce spikes, spam complaint trends, and deliverability warning signs in real time — before domain reputation is compromised.
Lemlist sequences use personalization variables pulled from lead lists. Broken variable syntax or missing values result in emails with empty fields or placeholder text — sent to real prospects. These errors aren't caught until someone reports a confusing email.
Improvado surfaces Lemlist lead data quality issues before sends. AI agents can audit active sequences for missing personalization variables, flag incomplete lead records, and report which campaigns are at risk.
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.
Lemlist doesn't offer a native MCP server. Improvado provides a hosted MCP server that connects Lemlist outreach data to Claude, Cursor, ChatGPT, and any MCP-compatible AI tool. Authentication and data normalization are handled automatically.
Campaign and sequence performance metrics, step-level engagement data (opens, clicks, replies), lead status and progression through sequences, sending domain health and deliverability metrics, A/B test results, and unsubscribe data. Improvado normalizes all Lemlist data so AI agents can query across campaigns without understanding the underlying API.
Any tool supporting the Model Context Protocol — Claude Desktop, ChatGPT, Cursor, Windsurf, Gemini, and custom applications using MCP HTTP transport. Claude is most commonly used due to its native MCP support.
Yes. Improvado connects 500+ data sources through the same MCP server. Teams can combine Lemlist outreach performance with CRM pipeline data, enrichment sources, and intent signals — enabling full-funnel analysis from first cold touch to closed deal.
Improvado manages Lemlist API rate limits and handles data pagination server-side. Campaign metrics are pre-aggregated so AI agents get instant answers for large sequence histories without triggering API throttling.
Yes. Improvado is SOC 2 Type II certified. Lemlist API credentials are stored in an encrypted vault. Lead PII is handled in compliance with GDPR and CAN-SPAM requirements. All data queries run through Improvado's secure proxy with full audit logging.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
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