Model Context Protocol server for interacting with Iaptic API (customers, purchases, transactions, statistics)
https://github.com/iaptic/mcp-server-iapticStop switching between Claude and your Iaptic dashboard to answer questions about your app's performance. This MCP server connects your Iaptic analytics directly to Claude Desktop, letting you query customer data, revenue metrics, and transaction history using natural language.
You know the routine: Claude suggests analyzing user behavior, you tab over to Iaptic, export some data, paste it back, ask follow-up questions, repeat. This server eliminates that context-switching entirely.
Ask Claude directly:
Claude pulls the data in real-time and analyzes it immediately.
Complete Iaptic API Access: All major endpoints available as MCP tools:
Smart Filtering: Built-in pagination and date filtering means you can ask for specific time periods, customer segments, or transaction types without overwhelming responses.
Seamless Integration: Works with your existing Claude Desktop setup - just add the server configuration and start asking questions.
Revenue Deep Dives: "Compare Q4 revenue to Q3 and identify the top contributing factors" - Claude pulls transactions, calculates trends, and analyzes customer behavior patterns in one response.
Customer Analysis: "Show me customers who made their first purchase this month but haven't returned" - Instant customer segmentation for retention campaigns.
Performance Monitoring: "What unusual patterns do you see in today's transaction data?" - Daily health checks without manual report reviewing.
Multi-App Management: Switch between different app properties mid-conversation to compare performance or analyze portfolio trends.
Install via Smithery (recommended):
npx -y @smithery/cli install mcp-server-iaptic --client claude
Or add manually to your Claude Desktop config:
{
"iaptic": {
"command": "npx",
"args": [
"mcp-server-iaptic",
"--api-key", "your-api-key-here",
"--app-name", "your-app-name-here"
]
}
}
Restart Claude Desktop and you're analyzing data with natural language queries.
Instead of being a dashboard observer, you become a data analyst with an AI assistant that has direct access to your business metrics. Complex queries that would take multiple dashboard interactions happen in a single conversation thread.
Your Iaptic data becomes conversational context rather than exported spreadsheets. That's the difference between asking "Can you analyze this CSV?" and "What do you think about our retention rates?"
Perfect for developers who want business insights without leaving their AI workflow or spending time in analytics dashboards.