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wizzy-mcp-tmdb
Standardized MCP server to access and search The Movie Database content for AI clients.
wizzy-mcp-tmdb is a Model Context Protocol (MCP) server implemented in JavaScript, designed to provide AI clients with tools to search and retrieve data from The Movie Database (TMDB). It offers standardized endpoints for multi-search, fetching detailed movie or TV information, and retrieving trending content. The server communicates over stdio and can be easily integrated into MCP-compatible clients via configuration. Comprehensive unit and integration tests ensure reliability across typical and edge-case API uses.
- ⭐ 0
- MCP
- drakonkat/wizzy-mcp-tmdb
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PersonalizationMCP
A unified personal data hub enabling AI assistants with rich contextual personalization across platforms.
PersonalizationMCP is a unified personal data hub built on the Model Context Protocol (MCP) standard. It consolidates data from various digital platforms such as Steam, YouTube, Bilibili, Spotify, and Reddit, providing AI assistants with enriched contextual access to user activity and preferences. By integrating multiple OAuth2-powered services, it allows for personalized, context-aware interactions and automated context management features. The tool offers seamless token management, support for a wide range of user data, and is suitable for enhancing personalized AI experiences.
- ⭐ 22
- MCP
- YangLiangwei/PersonalizationMCP
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OCI Registry MCP Server
Expose OCI registry data to LLM-powered applications via the Model Context Protocol.
Implements a Model Context Protocol (MCP) server that enables language model applications to query OCI registries. Provides tools for retrieving image information, listing repository tags, and accessing manifests and configs. Features secure authentication support and seamless integration with ToolHive for containerized deployment. Empowers AI-driven systems to interact programmatically with container registries.
- ⭐ 11
- MCP
- StacklokLabs/ocireg-mcp
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MKP
A Model Context Protocol server enabling LLM-powered applications to interact with Kubernetes clusters.
MKP is a Model Context Protocol (MCP) server designed for Kubernetes environments, allowing large language model (LLM) powered applications to list, retrieve, and apply Kubernetes resources through a standardized protocol interface. Built natively in Go, it utilizes Kubernetes API machinery to provide direct, type-safe, and reliable operations without dependencies on CLI tools. MKP offers a minimalist, pluggable design enabling universal resource support, including custom resource definitions, and includes built-in rate limiting for production readiness.
- ⭐ 54
- MCP
- StacklokLabs/mkp
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mcp-k8s
A Kubernetes MCP server enabling resource management via Model Control Protocol.
mcp-k8s is a Kubernetes server that implements the Model Control Protocol (MCP), allowing users to interact with Kubernetes clusters through MCP-compatible tools. It supports querying and managing all Kubernetes resources, including custom resources, with fine-grained control over read and write operations. The server utilizes stdio communication and integrates with both Kubernetes and Helm, facilitating resource and Helm release management. It is designed to support natural language interactions with large language models for managing, diagnosing, and learning Kubernetes operations.
- ⭐ 129
- MCP
- silenceper/mcp-k8s
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Tilt MCP Server
Programmatic Access to Tilt via Model Context Protocol for LLMs
Tilt MCP Server provides Model Context Protocol (MCP) capabilities to enable seamless integration between Tilt—an environment for managing Docker/Kubernetes workloads—and large language model (LLM) applications. It allows LLMs and AI assistants to interact programmatically with Tilt resources, retrieve logs, monitor status, trigger actions, and utilize guided workflows. The server exposes standardized resources, tools, and prompts for intelligent management and automation of Tilt-based development environments.
- ⭐ 2
- MCP
- rrmistry/tilt-mcp
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Kubectl MCP Server
Natural language Kubernetes management for AI assistants using the Model Context Protocol.
Kubectl MCP Server enables AI assistants such as Claude and Cursor to interact with Kubernetes clusters using natural language through the Model Context Protocol (MCP). It supports a wide range of Kubernetes operations including resource management, Helm integration, monitoring, diagnostics, and advanced security features. The server is designed to handle context-aware commands, maintain session memory, and provide intelligent command construction and explanations. Integration with multiple AI assistants and flexible transport protocols are supported for a seamless user experience.
- ⭐ 734
- MCP
- rohitg00/kubectl-mcp-server
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Kubernetes MCP Server
A standardized MCP interface for Kubernetes cluster management and introspection.
Kubernetes MCP Server enables interaction with Kubernetes clusters via the Model Context Protocol, providing a consistent and standardized interface across various tools and environments. It features resource discovery, detailed inspection, metrics retrieval, resource manipulation, and supports multiple communication modes such as stdio, SSE, and streamable HTTP. Designed for flexibility and security, it allows both read-only and full-access modes and works with different Kubernetes contexts.
- ⭐ 117
- MCP
- reza-gholizade/k8s-mcp-server
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Redis Cloud API MCP Server
Natural language interface for managing Redis Cloud via Model Context Protocol
Provides a Model Context Protocol (MCP) server that enables users to manage Redis Cloud resources and accounts using natural language commands. Supports integration with clients such as Claude Desktop and Cursor IDE, facilitating operations such as creating databases, managing subscriptions, retrieving billing information, and monitoring tasks. Offers standardized endpoints to simplify cloud provider and plan selection, as well as database module configuration and task tracking.
- ⭐ 37
- MCP
- redis/mcp-redis-cloud
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Qiniu MCP Server
Bridge AI models to Qiniu cloud storage and multimedia services via the Model Context Protocol.
Qiniu MCP Server implements the Model Context Protocol (MCP) to enable AI model clients to seamlessly access Qiniu cloud storage, multimedia, and CDN services within the context of user interactions. It provides capabilities such as bucket and file listing, file uploading, file reading, image processing tasks like resizing and rounded corners, as well as CDN cache operations. The server is designed to be integrated with AI tooling like VS Code's Cline plugin, supporting contextual data access and manipulation via a standardized protocol.
- ⭐ 30
- MCP
- qiniu/qiniu-mcp-server
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PythonAnywhere Model Context Protocol Server
Bridge AI-powered tools with PythonAnywhere for secure, programmatic environment management.
PythonAnywhere Model Context Protocol Server implements the MCP, allowing AI clients and automation tools to securely manage files, web apps, and scheduled tasks within a PythonAnywhere account. It offers a standardized interface to perform core operations like editing files, deploying or managing web apps, and handling scheduled jobs with fine-grained access control. Designed for integration with tools such as Claude Desktop, GitHub Copilot, and Cursor, it ensures auditability of actions and supports multiple installation workflows.
- ⭐ 8
- MCP
- pythonanywhere/pythonanywhere-mcp-server
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cloudflare/mcp-server-cloudflare
Connect Cloudflare services to Model Context Protocol (MCP) clients for AI-powered management.
Cloudflare MCP Server enables integration between Cloudflare's suite of services and clients using the Model Context Protocol (MCP). It provides multiple specialized servers that allow AI models to access, analyze, and manage configurations, logs, analytics, and other features across Cloudflare's platform. Users can leverage natural language interfaces in compatible MCP clients to read data, gain insights, and perform automated actions on their Cloudflare accounts. This project aims to streamline the orchestration of security, development, monitoring, and infrastructure tasks through standardized MCP connections.
- ⭐ 2,919
- MCP
- cloudflare/mcp-server-cloudflare
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awslabs/mcp
Specialized MCP servers for seamless AWS integration in AI and development environments.
AWS MCP Servers is a suite of specialized servers implementing the open Model Context Protocol (MCP) to bridge large language model (LLM) applications with AWS services, tools, and data sources. It provides a standardized way for AI assistants, IDEs, and developer tools to access up-to-date AWS documentation, perform cloud operations, and automate workflows with context-aware intelligence. Featuring a broad catalog of domain-specific servers, quick installation for popular platforms, and both local and remote deployment options, it enhances cloud-native development, infrastructure management, and workflow automation for AI-driven tools. The project includes Docker, Lambda, and direct integration instructions for environments such as Amazon Q CLI, Cursor, Windsurf, Kiro, and VS Code.
- ⭐ 6,220
- MCP
- awslabs/mcp
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k8s-mcp-server
Securely enable Claude to run Kubernetes CLI tools via Anthropic's Model Context Protocol.
K8s MCP Server provides a Docker-based implementation of Anthropic's Model Context Protocol (MCP), allowing Claude to securely execute Kubernetes CLI tools such as kubectl, helm, istioctl, and argocd within a containerized environment. It integrates with Claude Desktop so users can interact with their Kubernetes clusters using natural language. The server emphasizes security by operating as a non-root user and offering strict command validation, while also supporting major cloud providers like AWS, Google Cloud, and Azure. Easy configuration and support for various Unix tools further enhance its capabilities.
- ⭐ 166
- MCP
- alexei-led/k8s-mcp-server
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quran-mcp-server
MCP server to access Quran.com API with AI tool compatibility.
quran-mcp-server exposes the Quran.com corpus and associated data through a Model Context Protocol (MCP) server generated from an OpenAPI specification. It provides tool endpoints for chapters, verses, translations, tafsirs, audio, languages, and more. The server is designed for seamless integration with large language models (LLMs) and AI tools, supporting both Docker and Node.js environments. Advanced logging features and flexible deployment options are included for debugging and development.
- ⭐ 49
- MCP
- djalal/quran-mcp-server