Mobile development spans multiple platforms and services: Firebase for backend, App Store Connect for distribution, Crashlytics for stability, Expo for builds, and TestFlight for beta testing. Giving your AI agent access to all of them means faster debugging, deployment monitoring, and release management without switching contexts.
Give your agent access to Firebase project data. Check Firestore collections, monitor Authentication users, review Cloud Functions logs, and inspect Remote Config values without opening the console.
What you can do:
Create with DataFaucet: Browse your Firebase console, capture the API calls, deploy. Your agent can now query project data inline.
Monitor app submissions, review status changes, and check sales data. Your agent can tell you if your latest build passed review or flag rating drops.
What you can do:
Create with DataFaucet: Browse App Store Connect, capture the endpoints, deploy as MCP server.
For React Native teams using Expo. Monitor EAS builds, check OTA update status, and review device logs without leaving your editor.
What you can do:
Create with DataFaucet: Browse your Expo dashboard, DataFaucet captures the API surface, deploy.
Real-time crash monitoring through your AI agent. Ask about top crashers, affected user counts, and stack traces without opening the Crashlytics dashboard.
What you can do:
Create with DataFaucet: Browse Crashlytics, capture the monitoring endpoints, deploy.
Manage beta distribution through your agent. Check tester feedback, monitor install rates, and track build expiration dates.
What you can do:
Create with DataFaucet: Browse TestFlight in App Store Connect, capture relevant endpoints.
The real power comes from combining these. Your agent can cross-reference a Crashlytics spike with a recent Expo OTA update, check if the fix is already in TestFlight, and tell you whether to roll back the update.
{
"mcpServers": {
"firebase": { "url": "https://datafaucet.dev/mcp/your-firebase-server" },
"appstore": { "url": "https://datafaucet.dev/mcp/your-appstore-server" },
"expo": { "url": "https://datafaucet.dev/mcp/your-expo-server" },
"crashlytics": { "url": "https://datafaucet.dev/mcp/your-crashlytics-server" }
}
}Create your first three MCP servers free at DataFaucet. Start with Firebase (most mobile teams use it) and add platform-specific servers as needed.
Create your Firebase MCP server in 60 seconds.
Try with Firebase →{
"mcpServers": {
"firebase": {
"url": "https://datafaucet.dev/api/mcp/YOUR_SERVER_ID/sse"
}
}
}Replace YOUR_SERVER_ID with the ID from your DataFaucet dashboard after creating your Firebase server.
Point DataFaucet at Firebase and get a working server in 60 seconds.
Create Firebase server free →After creating, add to Claude Desktop:
"firebase": {
"url": "https://datafaucet.dev/api/mcp/YOUR_ID/sse"
}Free plan includes 3 servers. Upgrade to Pro for unlimited →
Turn Firebase into an MCP server. Let Claude, Cursor, and Codex query Firestore, manage auth users, trigger Cloud Functions, and check analytics.
A startup connected Stripe, Linear, Slack, Vercel, and PostHog to AI via MCP. Standup prep went from 15 minutes to one prompt.
Step-by-step guide to debugging MCP server connections. Fix SSE timeouts, tool discovery failures, auth errors, and protocol mismatches.
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