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Improvado gives your AI agent direct access to Braze data through an MCP server. Query send volumes, open rates, conversion funnels, and segment sizes in natural language. Works with Claude, ChatGPT, Cursor, and any MCP-compatible tool.
Stop exporting CSVs and building manual Braze reports. Ask your AI agent for campaign performance, churn cohorts, message fatigue signals, or A/B test results — across any channel, segment, or date range. The MCP server handles Braze 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 reads Braze data and acts on it. Pause underperforming campaigns, update segment filters, and trigger A/B test variants — without navigating the Braze dashboard.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Set up watches on the metrics that matter. Your AI agent monitors Braze campaigns continuously and flags anomalies — message fatigue, deliverability issues, or canvas drop-offs — before they erode engagement.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Your AI agent reads Braze data and acts on it. Pause underperforming campaigns, update segment filters, and trigger A/B test variants — without navigating the Braze dashboard.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
Multi-step canvases accumulate drop-offs across 10+ steps. Identifying which step is leaking users requires pulling step-level data, calculating drop-off rates, and comparing against historical benchmarks — all manually. By the time someone notices, weeks of send volume are wasted.
Improvado extracts full canvas step-level data from Braze and makes it queryable via AI. Ask for drop-off rates at every step in one question. The MCP server surfaces the leak immediately, with context on when the drop-off started.
Users enrolled in multiple canvases receive overlapping messages from different teams. There's no consolidated view of how many messages a user segment receives per week across all campaigns. Fatigue builds silently until unsubscribe rates spike.
Improvado normalizes send-level data across all Braze campaigns and canvases into a unified model. Query total message frequency by segment, identify overlap, and spot fatigue signals before unsubscribes climb.
Email, push, in-app, and SMS each live in separate Braze reporting views. Comparing which channel drives the most conversions for a single cohort requires exporting four separate reports and manually joining them. Attribution decisions are made on incomplete data.
Improvado's data model unifies Braze channel data into one schema. The MCP server lets your AI compare email vs push vs SMS conversion rates for the same cohort in a single query, with no manual exporting.
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.
Campaign and canvas performance metrics (send volume, opens, clicks, conversions, revenue), segment membership and sizes, A/B test results, message fatigue indicators, subscription states, and channel-level breakdown across email, push, in-app, and SMS.
Both. You can query individual campaigns and multi-step canvases, including step-level conversion data. Canvas step analysis — which is notoriously hard to get in bulk — is one of the most common use cases.
Any tool supporting the Model Context Protocol. That includes Claude Desktop, ChatGPT, Cursor, Windsurf, Gemini, and custom applications using MCP HTTP transport. Claude is the most commonly used client due to native MCP support.
Both. Read operations cover all analytics and reporting data. Write operations include pausing campaigns, updating canvas settings, adjusting segment filters, and triggering test sends. Permissions are scoped to what your Braze API key allows.
Yes. Improvado stores all API credentials in an encrypted vault under SOC 2 Type II controls. Your AI agent sends queries through Improvado's secure proxy — raw API keys are never exposed to the AI model. Prompt injection protection is built into the server.
If you're already an Improvado user with Braze connected, your data is ready. Open the AI Agent at app.improvado.io/agent and start querying. For Claude Desktop or Cursor, add one line to your MCP config — under 60 seconds.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
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