Claude MCP Connector Guide — Setup, Auth, and 15 Marketing Connectors

Step 01

Access the Connectors Directory

In Claude Desktop, click your avatar > Settings > Connectors > Browse Connectors. Or at claude.ai, navigate to Settings > Connectors from the sidebar. The directory shows 200+ available integrations organized by category: Marketing, Productivity, Development, Enterprise, and Custom.

Step 02

Find and connect your service

Search for your desired service (Google Ads, Slack, Notion, etc.) and click "Connect." You will be redirected to the service's OAuth authorization page. Review the requested permissions carefully — most connectors request read-only access initially. Click "Allow" or "Authorize" to grant Claude permission to access your account.

Step 03

Configure connection settings

After authorization, configure connector-specific settings. Google Ads connectors require selecting which ad accounts Claude can access. Slack connectors let you choose specific workspaces and channels. CRM connectors may need field mapping configuration. Enterprise connectors often include additional security settings and audit controls.

Step 04

Test the connection

Return to Claude and test the connection with a simple query: "Show me my recent Google Ads performance" or "Search my Slack for messages about campaign budget." Claude should return live data from your connected service. If you see an authentication error, re-check the OAuth flow and ensure all required permissions were granted.

Key features: Campaign analysis, keyword performance reports, Quality Score audits, conversion attribution analysis, automated bid recommendations, competitor auction insights, and budget utilization tracking. Supports both Google Ads and Google Analytics 4 data.

Best for: PPC managers, digital marketing agencies, e-commerce marketers running search campaigns. See our complete Google Ads automation guide for advanced workflows.

Key features: Creative fatigue detection, audience overlap analysis, ROAS optimization, frequency capping insights, placement performance breakdowns, custom audience analysis, and lookalike audience recommendations.

Best for: Social media managers, e-commerce brands, B2C marketers focusing on Facebook and Instagram advertising. Our Meta Ads automation guide covers 8 workflows you can implement immediately.

Key features: Traffic source analysis, conversion funnel optimization, user journey mapping, cohort analysis, event tracking insights, e-commerce performance reports, and cross-channel attribution modeling.

Best for: Digital marketers, growth teams, conversion rate specialists analyzing website performance and user behavior patterns.

Key features: Lead scoring analysis, email campaign performance, deal progression tracking, contact lifecycle analysis, marketing attribution reports, and sales funnel optimization insights.

Best for: Sales teams, marketing operations managers, B2B marketers using HubSpot for lead management and nurturing campaigns.

Key features: Pipeline analysis, territory performance, lead conversion tracking, campaign attribution, quota attainment reports, and custom object queries for enterprise sales workflows.

Best for: Enterprise sales teams, RevOps managers, B2B marketers measuring marketing qualified lead progression through complex sales cycles.

Key features: Message search across channels, user activity analysis, project thread summaries, mention tracking, file sharing insights, and cross-team communication analysis.

Best for: Marketing managers tracking campaign discussions, agencies coordinating client communications, remote teams analyzing collaboration patterns.

Key features: Database queries, page content search, property filtering, relation analysis, content calendar access, and project status tracking across Notion workspaces.

Best for: Content marketers managing editorial calendars, campaign planners tracking project status, teams using Notion for marketing documentation and workflows.

Key features: Revenue analysis, subscription churn tracking, payment method insights, customer segmentation, refund pattern analysis, and cohort lifetime value calculations.

Best for: E-commerce marketers, SaaS growth teams, subscription businesses analyzing customer acquisition costs and lifetime value metrics.

Key features: Content performance analysis, audience growth tracking, hashtag effectiveness, story completion rates, reach and impression breakdowns, and influencer collaboration metrics.

Best for: Social media managers, influencer marketers, visual content creators analyzing organic Instagram performance and engagement patterns.

Key features: Campaign performance analysis, lead form completion tracking, professional demographic insights, industry targeting optimization, and B2B conversion attribution.

Best for: B2B marketers, professional services firms, enterprise software companies running LinkedIn advertising campaigns and lead generation programs.

Key features: Email performance analysis, list growth tracking, segmentation effectiveness, automation workflow insights, A/B test results, and subscriber engagement patterns.

Best for: Email marketers, e-commerce brands, small businesses using Mailchimp for newsletter campaigns and automated email sequences.

Key features: Video performance metrics, audience engagement analysis, creative element effectiveness, trending hashtag insights, and cross-platform campaign comparison.

Best for: Gen Z marketers, entertainment brands, consumer products companies leveraging TikTok for brand awareness and viral marketing campaigns.

Key features: Sales performance analysis, product popularity tracking, customer lifetime value calculations, inventory optimization insights, and seasonal trend analysis.

Best for: E-commerce marketers, Shopify store owners, product managers analyzing sales data and customer purchase patterns for marketing optimization.

Key features: Video performance analysis, audience retention tracking, traffic source insights, subscriber growth metrics, and monetization data for content strategy optimization.

Best for: Content marketers, video producers, brands using YouTube for educational content, product demonstrations, and brand storytelling campaigns.

Key features: Workflow performance monitoring, automation success rates, error tracking, trigger analysis, and cross-platform data synchronization insights.

Best for: Marketing operations teams, automation specialists, agencies managing complex workflows across multiple client platforms and marketing tools.

"Authentication failed" errors

Symptoms: Claude returns "Cannot connect to [service]" or "Authentication expired" when you try to query data.

Solution: Go to Settings > Connectors, find the failing service, and click "Reconnect." Complete the OAuth flow again. If the problem persists, check that you have the required permissions in the source service (admin access for Google Ads, workspace permissions for Slack, etc.).

"No data found" responses

Symptoms: Claude connects successfully but returns empty results or "No campaigns found" when data should exist.

Solution: Verify the date range in your query. Many connectors default to "last 7 days" which may not include older campaigns. Check account permissions — you may have connected a personal account instead of the business account containing your data.

Rate limit exceeded errors

Symptoms: Claude returns "API quota exceeded" or requests timeout after 30+ seconds.

Solution: Wait 5-10 minutes and retry your query. For large accounts, break complex queries into smaller chunks. Instead of "analyze all campaigns," try "analyze campaigns from the past 30 days" or specify campaign names directly.

Connector not appearing in directory

Symptoms: You cannot find a specific service in the Claude Connectors Directory.

Solution: Verify you have Claude Pro or Teams subscription — connectors are not available on the free plan. Check if the connector is region-restricted (some enterprise connectors are US-only). For custom connectors, ensure your organization admin has approved the specific MCP server.

Slow response times

Symptoms: Claude takes 2-3 minutes to return connector data, or requests timeout completely.

Solution: Reduce query complexity. Instead of "analyze all historical data," specify exact date ranges, campaign names, or metrics. Large Google Ads accounts with 100+ campaigns may need queries split by campaign type or date range.