Overview
Claude is one of the fastest ways to work with Provalytics data without leaving your normal workflow. Once connected, Claude can help your team inspect performance, summarize findings, pressure-test recommendations, and answer questions from live Provalytics data instead of static exports.What you need
Before starting, make sure you have:- access to the
MCP Server Accesspage in Provalytics - the correct client workspace selected
- a user-specific API key
- Claude access that supports custom MCP connections
Step 1: Generate your Provalytics API key
In Provalytics:- Open
MCP Server Access - Confirm the correct client workspace is selected
- Enter a key name such as
Claude DesktoporClaude Code - Click
Generate key

Step 2: Connect in Claude Desktop
For Claude Desktop, use the custom connector path shown on the MCP access page. In Claude Desktop:- Go to
Settings - Open
Integrations - Choose
Add custom connector - Paste the Provalytics MCP URL shown in your workspace
https://mcp.getprova.com/mcp?token=YOUR_KEY
Replace YOUR_KEY with the API key generated for your user.
Leave OAuth fields blank unless your Claude environment specifically requires something different.
Step 3: Connect in Claude Code
For command-line workflows, Claude Code can connect to the same client-scoped MCP server. Use the command shown on the MCP access page:YOUR_KEY with your own user-specific key.
Step 4: Test the connection
After setup, ask a few basic questions to confirm the connection is working, such as:- what are my top channels by incrementality this month?
- what does the optimizer recommend next?
- how well did the latest model fit actual results?
Security notes
- each user should create their own key
- keys are read-only
- keys are client-scoped
- keys should be revoked when no longer needed
MCP Server Access page.
What Claude can help with
Claude is especially useful for:- turning dashboard findings into client-ready summaries
- checking campaign performance without exporting files
- reviewing recommendations before meetings
- comparing modeled outcomes, efficiency, and forecast signals quickly