data-ai MCP Server
Business operating system for Claude Code — 57 skills, 21 agents, smart daemon. Unified inbox (WhatsApp/Email/Slack/Telegram), autonomous PR merge, full-AWS monitoring, revenue (Stripe+RevenueCat), e-commerce (Shopify), marketing (Klaviyo/Meta/GA4), voice (Bland/ElevenLabs), APM (Datadog/NewRelic/OTEL), YOLO mode.
Discovered via agent-topic:ai-agent and last synced 3mo ago.
Install instructions not detected yet
Check the source repository for the latest setup steps.
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OAuth (read)
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OAuth via Claude.ai
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OAuth via Claude.ai
`@dopplerhq/mcp-server` (MCP)
fix-manifest, fix-permissions, fix-registry
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infra-scanner, inbox-scanner, pr-scanner, sprint-scanner
orders-scanner, inventory-scanner, fulfillment-scanner
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fixer-[repo] per failing PR
project-[alias] per registered project
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MCP
datadog-probe, newrelic-probe, otel-probe
What you see
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Team name
`$DATA_DIR/reports/competitor-intel/YYYY-MM-DD_<brand>.md`
fix-[issue-id] per active issue
infra-loader, comms-loader, projects-loader, business-loader
OAuth via Claude.ai
OAuth via Claude.ai (12 tools)
whatsapp-scanner, email-scanner, slack-scanner, telegram-scanner
OAuth via Claude.ai
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email-metrics, ads-metrics, analytics-metrics, seo-metrics
ceo, cto, cfo, coo
fires-checker, comms-checker, prs-checker, sprint-checker
Skill
per-project agents (hybrid auto-select)
`setup-hunters`
What it does
Native Zoom + REST scheduling
AI agent phone call
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Server-to-Server OAuth
fix-[service] per active incident
ecs-checker, vercel-checker, ci-checker
Detecting exposed AWS credentials in source code repositories, CI/CD pipelines, and configuration files using TruffleHog, git-secrets, and AWS-native detection mechanisms to prevent credential theft and unauthorized account access.
Detecting data exfiltration attempts from AWS S3 buckets by analyzing CloudTrail S3 data events, VPC Flow Logs, GuardDuty findings, Amazon Macie alerts, and S3 access patterns to identify unauthorized bulk downloads and cross-account data transfers.
Implement Amazon Macie to automatically discover, classify, and protect sensitive data in S3 buckets using machine learning and pattern matching for PII, financial data, and credentials detection.
Implementing AWS Security Hub to aggregate security findings across AWS accounts, enable compliance standards like CIS AWS Foundations and PCI DSS, configure automated remediation with EventBridge and Lambda, and create custom security insights for organizational risk management.
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
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The secure gateway connecting AI agents to enterprise systems.
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