Secure, read-only connections bring signals from your clouds, observability, code, databases, and collaboration tools into one operational context — so agents can reason before they act.

35+ native connections across cloud, data, observability, and delivery — each with scoped credentials and a step-by-step guide. Click any connection to open its setup docs.
EC2, RDS, S3, Lambda, EKS, and 100+ services
Compute Engine, Cloud SQL, GKE, BigQuery
VMs, SQL Database, AKS, Blob Storage
Deployments, projects, and edge network
Droplets, Kubernetes, and managed databases
OCI compute, database, and networking
Compute, Kubernetes, and managed services
ECS, RDS, and ACK clusters
Compute instances and managed Kubernetes
Deploys, edge functions, and hosting
Dynos, add-ons, and pipelines
Apps, machines, and edge deploys
Services, cron jobs, and databases
VMs, clusters, and on-prem virtualization
Private-cloud compute and networking
Query analysis, performance tuning, optimization
Performance monitoring, slow-query analysis
Cluster health, queries, and index analysis
Cache performance, memory, keyspace insights
Serverless Postgres with OAuth-secured access
Confluent Cloud with scope-based credentials
Queues, exchanges, and message-flow health
Log analysis, search operations, observability
Tables, capacity, and hot-key analysis
Wide-column cluster health and queries
Distributed SQL health and performance
OLAP query performance and storage
Performance monitoring and slow queries
Query tuning and health monitoring
AWR, query, and instance health
Warehouse usage, cost, and query profiling
Query cost, slots, and performance
Lakehouse jobs, clusters, and cost
Cluster performance and query tuning
Postgres, auth, and edge functions
Serverless MySQL branches and insights
Time-series ingestion and queries
Search, log analytics, and cluster health
Topics, subscriptions, and backlog
Subjects, streams, and message flow
Vector index performance and usage
Metrics, monitors, logs, and dashboards
Dashboards, metrics, and alerting
Metrics, PromQL queries, and alert rules
APM, NRQL queries, and alerting
Problems, metrics, and full-stack traces
Application performance and business transactions
Hosts, triggers, and infrastructure alerts
Uptime monitoring, incidents, and logs
Logs, metrics, and traces at scale
Open-source APM, traces, and metrics
Error tracking and deploy monitoring
Error tracking, traces, and release health
High-cardinality events and trace exploration
Metrics at scale with cost control
Log analytics and cloud SIEM insights
Log search, dashboards, and alerting
AIOps alert correlation and noise reduction
Traces, metrics, and logs pipeline
Log aggregation and LogQL
Distributed tracing backend
Trace collection and analysis
Centralized log management
Managed ELK logs and metrics
High-scale time-series metrics
Long-term Prometheus storage and query
Host and service monitoring
Real-time per-second metrics
Uptime and page-speed monitoring
Uptime checks and alerts
Synthetic and API monitoring
Full-stack and uptime monitoring
Automatic APM and tracing
EKS, GKE, AKS, and self-managed clusters
DNS, analytics, and edge configuration
GitOps deployments and sync status
Pipelines, builds, and job health
Pipelines, workflows, and build insights
Ansible playbooks, jobs, and inventories
Code quality gates and security analysis
Secrets, tokens, and credential brokering
Any Linux server over secure shell
IaC plans, state, and drift awareness
Playbooks, configuration, and provisioning
IaC orchestration with policy and state
IaC environments and cost guardrails
Cloud asset discovery and drift detection
Service catalog, ownership, and templates
Workflows, runners, and CI/CD
Pipelines, jobs, and runners
CI/CD pipelines and deployments
Pipelines, boards, and repos
Scalable CI/CD pipelines
Container-native pipelines
Build pipelines and chains
CI/CD and deployment automation
Multi-cloud continuous delivery
Release and deployment automation
GitOps continuous delivery
Kubernetes package and release management
IaC in real programming languages
Kubernetes-native control planes
Terraform pull-request automation
Images, registries, and containers
Workload orchestration and scheduling
Service mesh and discovery
Multi-cluster Kubernetes management
Enterprise Kubernetes platform
Configuration management at scale
Infrastructure configuration automation
Cloud risk, misconfigurations, and attack paths
Agentless cloud workload and data risk
Code-to-cloud posture and runtime security
Behavioral anomaly and misconfiguration detection
Container image scanning and runtime policy
Runtime threat detection and CSPM
Code, dependency, container, and IaC scanning
Secret detection across repos and pipelines
Endpoint and cloud threat detection
Identity, realms, and access policies
Security rules, App Check, and auth posture
Container, IaC, and dependency scanning
Static analysis and custom rules
SAST and application security testing
SAST, DAST, and SCA
Vulnerability management and compliance
Nessus vulnerability scanning
InsightVM and threat detection
Runtime threat detection for Kubernetes
Container image scanning and policy
Artifact and dependency scanning
Open-source and SCA security
Repository firewall and SCA
Dependency updates and alerts
Cloud security assessments
Kubernetes security posture
Policy-as-code enforcement
Kubernetes-native policy management
IaC misconfiguration scanning
Endpoint detection and response
Cloud and endpoint security
Identity and single sign-on
Authentication and authorization
Privileged access management
Secrets management and sync
Secrets and credential management
Zero-trust infrastructure access
Kubernetes cost by namespace, workload, and team
Multi-cloud cost, budgets, and policies
Cost visibility, allocation, and rightsizing
Cost reports, alerts, and forecasts
Spot automation and commitment optimization
Autonomous Savings Plans and RI management
Idle-resource and commitment optimization
Kubernetes rightsizing and bin-packing
Cost estimates in pull requests
Open-source Kubernetes cost
Unified cloud cost and FinOps
Cost anomaly detection
Automated commitment optimization
Resource rightsizing and optimization
Cloud cost management and autostopping
AWS cost analysis and forecasts
Azure cost and budgets
Cloud FinOps and allocation
On-call schedules, incidents, escalations
Incidents, changes, and ITSM workflows
Jira and Confluence, kept in the loop
Projects, issues, and team collaboration
Incident response, on-call, and status pages
Incident management and automated workflows
Incident response and runbook automation
Alert routing, on-call, and escalations
Event correlation and incident intelligence
ITSM incidents, requests, and changes
Support tickets and workflows
ITSM and service desk
Issue tracking and projects
Tasks, docs, and projects
Work and project management
Work OS and project boards
Status pages and incident comms
On-call and incident response
On-call and service reliability
On-call scheduling and alerts
Incident and alert management
GPS devices, telemetry, fleet management
Device connectivity and telemetry
Device management and messaging
IoT device and telemetry platform
GPS tracking and fleet telemetry
Connected fleet and IoT operations
Telematics and fleet data
GPS trackers and device data
CloudThinker speaks the Model Context Protocol. Point it at any MCP server — internal tools included — and agents use it like a native connection.
Multiple authentication methods ensure secure access to every connected platform.
All data is encrypted in transit and at rest using industry-standard protocols.
Built for regulated environments with full auditability and compliance controls.
Every agent action passes an approval gate — you decide how much autonomy each connection gets.
Set up secure connections in minutes and let CloudThinker's AI work across your entire ecosystem.