"AWS Secrets Manager" matching MCP connectors:
Matching Connector Tools:
Control Plane (controlplane.com): deploy and operate workloads across AWS, GCP, Azure, and more.
AI infrastructure design agent. Describe your app in plain English; Riley designs, prices, and deploys AWS or GCP infrastructure with generated Terraform.
Read-only AWS cost analysis: find idle and underutilized resources, with evidence.
Execution graph of AWS: verified contracts, least-privilege IAM policies, pre-flight authorization.
Designs, prices, and deploys AWS/GCP cloud infrastructure from plain-English requirements.
Lowers your AWS bill by helping you clean up and optimize your setup
AWS cloud security scanners for AI agents — S3, IAM, EC2, EKS, RDS, CloudTrail, CloudWatch Logs
The AWS Knowledge MCP server is a fully managed remote Model Context Protocol server that provides real-time access to official AWS content in an LLM-compatible format. It offers structured access to AWS documentation, code samples, blog posts, What's New announcements, Well-Architected best practices, and regional availability information for AWS APIs and CloudFormation resources. Key capabilities include searching and reading documentation in markdown format, getting content recommendations, listing AWS regions, and checking regional availability for services and features.
The Telnyx MCP server is an official implementation of the Model Context Protocol that enables AI clients (like Claude Desktop, Cursor, and OpenAI Agents) to interact with Telnyx's telephony, messaging, and AI assistant APIs. It provides comprehensive capabilities including making and managing phone calls, sending SMS/MMS messages, purchasing and configuring phone numbers, creating AI assistants with custom instructions, managing cloud storage buckets, scraping and embedding website content, and handling integration secrets. The server exists as both a local implementation and a remotely hosted version, allowing developers to integrate real-world communication infrastructure directly into AI applications.
CloudOracle - 14-tool multi-cloud compliance MCP: AWS, Azure, GCP posture, IAM, configs.
Ask your AI assistant a cost question. Get allocation, correlation, and explanation in one response. Costory connects Claude, Codex, or Cursor to normalized cost data across AWS, GCP, Azure, Datadog, OpenAI, and Anthropic. https://costory.io Free trial 14 days, 250 USD / month up to 10M Spend
Read-only cloud cost and infrastructure governance across AWS, Azure and GCP. 85 tools covering cost overview and trends, cost by provider/resource/tag/team, budgets, resources, schedules, recommendations, tagging policies, audit logs, anomalies, Kubernetes resources and pod logs. Hosted remote server, nothing to install. Docs: https://zop.dev/learn/mcp-server?utm_source=glama&utm_medium=listing&utm_campaign=mcp-directory Claude setup: https://zop.dev/learn/how-to/set-up-zopnight-mcp-for-claude
InsideOut by Luther Systems — Agentic AI for cloud infrastructure design, setup, pricing, deployment, and active management. Generates Terraform for AWS and GCP. Hosted A2A agent — describe your application in plain language and InsideOut designs, costs, deploys, and manages production-ready cloud infrastructure.
Outcome-based infrastructure for agents — verified AWS deployments, metered billing
FinOps MCP: query allocated, correlated cloud and AI cost across AWS, GCP, Azure and Snowflake.
Give your AI coding assistant a backend to deploy to. WiseWall turns a static site into a real product — magic-link accounts, a per-member database, Polar-powered payments, and a server-side paywall — and this package lets your coding agent drive all of it: deploy, configure a custom domain and DNS, manage secrets, create plans, without ever opening a dashboard.
Manage Kubernetes clusters, deployments, databases, secrets and observability on Mengi Cloud.
Hosted MCP server for AWS cloud spend: service breakdowns, anomalies, savings and forecasts.
Compare, estimate, and deploy cloud infrastructure across AWS, GCP, and Azure for AI agents.
Unified API to query AWS, GCP, Azure and generate Terraform/CLI execution kits for AI agents.