"Deep Think: Exploring Deep Thinking Concepts" matching MCP servers:

Provides tools for discovering, building, deploying, and troubleshooting AWS Deep Learning Containers (DLC) images. Supports multiple frameworks and instance recommendations.

An MCP server that lets AI assistants manage KubeAid GitOps clusters, inspecting ArgoCD apps, pods, events, and resources, with optional write operations like syncing apps and scaling deployments through your own kubeconfig credentials.

Provides image generation capabilities using Amazon Nova Canvas through Amazon Bedrock, enabling the creation of visuals from text prompts and color palettes—perfect for mockups, diagrams, and UI design concepts.

MCP server for discovering and exploring Azure Verified Modules (AVM) from the Bicep Public Registry, enabling AI agents to search, retrieve module details, and access documentation.

Enables exploring Microsoft Fabric / Power BI workspaces and semantic models, and executing ad-hoc DAX queries.

Enables querying, exploring, and interacting with Azure SQL databases through MCP-compatible clients like Claude Desktop.

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.

A comprehensive, AI-powered performance analysis and monitoring platform for OpenShift/Kubernetes clusters. This project provides Model Context Protocol (MCP) servers for analyzing etcd, network, and OVN-Kubernetes components with deep performance insights, automated root cause analysis, and actionable recommendations.

Enables deep integration with Google Workspace for AI assistants, allowing for document creation, spreadsheet manipulation, and file management. It supports advanced features like template processing, comment thread management, and cell formatting.

Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.

A powerful MCP server for Supabase that provides interactive tools and React widgets for exploring and querying your Supabase database.

A Python-based MCP server that exposes Power BI semantic models to Claude, enabling natural-language querying of Power BI data through tools like listing workspaces, exploring datasets, executing DAX queries, and triggering refreshes.

Provides AI agents with secure, natural-language access to Oracle Cloud Infrastructure through 69 tools covering services like compute, storage, networking, and databases. It features deep IAM integration and supports deployment across platforms like Claude Desktop, Cursor, and OCI Generative AI.

Mnemosyne is an MCP server that gives AI assistants deep visibility into Kubernetes clusters, enabling natural language queries about cluster state, pods, services, and more.

Enables interaction with Databricks for running SQL queries, managing clusters, triggering jobs, running notebooks, exploring Unity Catalog metadata, managing secrets, and interacting with DBFS.

MCP server for exploring Microsoft Fabric and Power BI workspaces. It provides tools to list workspaces and get detailed contents of a workspace.

A Model Context Protocol server that provides tools for querying, updating, and exploring Databricks SQL Analytics tables.

MCP server for the FinOps thinking agent, providing tool interfaces for data access and caching operations.

Enables querying and managing Azure Log Analytics workspaces using KQL (Kusto Query Language). Supports executing queries, managing saved queries, and exploring workspace tables and schemas with Service Principal authentication.