The careerly-data-mcp server provides AI agents with tools to analyze GA4, BigQuery, and Search Console data. It exposes functions to query datasets, generate reports, and extract insights. The server connects directly to Google Analytics 4, BigQuery, and Google Search Console APIs. Developers use it to automate data analysis, generate custom reports, and integrate web analytics data into applications.
The careerly-data-mcp server provides AI agents with tools to analyze GA4, BigQuery, and Search Console data. It exposes functions to query datasets, generate reports, and extract insights. The server connects directly to Google Analytics 4, BigQuery, and Google Search Console APIs. Developers use it to automate data analysis, generate custom reports, and integrate web analytics data into applications.
npx -y careerly-data-mcpAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"careerly-data-mcp-npm": {
"command": "npx",
"args": [
"-y",
"npx -y careerly-data-mcp"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from careerly-data-mcp?"
API Key Required
This server requires an API key from careerly-data-mcp. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| CAREERLY-DATA-MCP_API_KEY | Yes | Your careerly-data-mcp API key |
"What resources are available in careerly-data-mcp?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in careerly-data-mcp"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in careerly-data-mcp with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.