"Managing Kubernetes Clusters on AWS Elastic Beanstalk" matching MCP servers:

Enables inspecting and managing Kubernetes clusters through MCP, including listing deployments and pods, retrieving logs and events, and scaling or restarting deployments.

A read-only MCP server that gives AI assistants natural language access to Elasticsearch/Kibana logs for querying and analysis.

Enables diagnosing Kubernetes clusters without creating or changing cluster objects, with tools to inspect health, workloads, events, storage, RBAC, custom resources, logs, and configuration.

TypeScript implementation of Kubernetes cluster operations for pods, deployments, services.

An MCP server for generating Kubernetes manifests (deployments, services, configmaps, secrets, ingresses, namespaces) and performing kubectl operations like apply, delete, get, describe, logs, and exec.

A lightweight MCP server that enables natural language interaction with Kubernetes clusters, allowing management of pods, deployments, namespaces, and cluster resources through conversational queries or API endpoints.

This MCP server provides tools for inspecting AWS cloud infrastructure, including listing S3 buckets, EC2 instances, and fetching CloudWatch logs using your local AWS credentials.

Enables read-only querying of AWS accounts, regions, and resources through a small fixed set of MCP tools backed by a YAML catalog of views.

A small AWS MCP for AI assistants: one server, one config entry, SSO re-auth baked in, generic CRUD over hundreds of resource types, live docs lookup, server-side scripting for batched workflows.

MCP server for AWS SSO authentication and profile management, enabling AI assistants to check identity, switch profiles, and manage EC2/EKS resources.

A Model Context Protocol server implementation that enables Claude to perform AWS operations on S3 and DynamoDB services through natural language commands.

Enables Claude Desktop to interact with 57 AWS services using over 200 tools and local machine profiles. It supports multi-profile configurations and features a read-only safe mode by default to manage infrastructure like EC2, S3, and Lambda securely.

Enables connection to a Kubernetes cluster to list and manage pods, services, deployments, and nodes, create/delete/describe pods, inspect namespaces, and retrieve logs for debugging.

Connects to a Kubernetes cluster through the current kubectl context and enables listing, creating, deleting, and describing pods, services, deployments, nodes, and namespaces, plus retrieving logs for debugging.

Connects to a Kubernetes cluster using your current kubectl context, letting an assistant list pods, services, deployments, nodes, and namespaces, create, delete, and describe pods, and pull logs for debugging. It turns everyday cluster management into natural-language tool calls.

Enables connecting to a Kubernetes cluster through kubectl context to list and manage pods, services, deployments, nodes, and namespaces, create or delete pods, describe pods, and retrieve logs for debugging.

Enables connection to a Kubernetes cluster to list and manage pods, services, deployments, nodes, and namespaces, including creating, deleting, describing pods and retrieving logs for debugging.

Enables connecting to a Kubernetes cluster to manage it, including listing pods, services, deployments, nodes, and namespaces, creating and deleting pods, describing pods, and retrieving logs for debugging.

A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with your AWS environment. This allows for natural language querying and management of your AWS resources during conversations. Think of better Amazon Q alternative.

Talk to AWS CLI from an MCP-speaking agent. Run any aws <service> <operation> command through the Model Context Protocol, with read-only defaults and gated write access.

Bridges the ChatGPT web UI to a local development environment over MCP, letting the model read and patch files, run real shell commands and terminals, execute tests, and control the desktop (screen, mouse, keyboard, clipboard) within user-approved folders. It adds parallel workers, goal/loop long-task control, plugin tools, and a security-hardening layer with risk-tiered shell policy, audit logging, and credential sanitization.

An MCP server for automated AWS security scanning. It detects over-privileged IAM roles and S3 Public Access Block misconfigurations, enabling least-privilege enforcement through tools like list_iam_roles, analyze_iam_policy, and analyze_s3_security.

A read-only MCP server for safe, structured investigation of AWS serverless resources, providing curated tools for tracing dependencies, permissions, and failures without exposing raw SDK access.

Enables querying AWS cost and usage data, monitoring budgets, and auditing for waste such as stopped EC2 instances, unattached EBS volumes, and unassociated Elastic IPs through natural language across multiple AWS profiles and regions. Runs locally using existing AWS CLI credentials to keep them secure.

MCP server that exposes the OBBBA No Tax on Tips federal deduction logic as callable tools, enabling users to check eligibility and estimate tip deductions.

A local MCP server for read-only querying of AWS resources (Lambda, S3) via Boto3, currently exposing a health check tool with planned tools for listing resources and checking free tier.

MCP server for Apple Notes enabling read, search, write, and sync of notes with high fidelity, including styles, attachments, and bidirectional Markdown sync.

Enables LLM clients to query AWS CloudWatch Logs and Alarms through MCP tools.

Lets AI chat clients query and manage multiple AWS accounts and organizations through IAM Identity Center SSO, fanning one request across accounts using rule-selected IAM roles and returning merged, redacted results.

A read-only MCP server that lets an AI assistant inspect a single AWS lab instance's EC2 health, recent system/nginx errors from CloudWatch, and nginx service status via SSM, with strict allowlisting and no generic shell access.