Cloud Services MCP Repositories

Generate videos from static images using advanced AI models, while monitoring the status of video generation tasks and uploading images for processing.

Interact with GitHub repositories, manage file operations, automate branch creation, and perform advanced searches on code and issues.

Crawl websites to create AI-powered search capabilities that enhance content discoverability and interaction with AI language models.

Connect to the Terraform Registry API for querying provider information, resource details, and module metadata to facilitate Terraform management.

Facilitates interaction with the LemonSqueezy digital commerce backend via its official Application Programming Interface (API). This enables programmatic control over e-commerce functions, encompassing product catalog management, transaction fulfillment, and recurring billing administration. It establishes a standardized Model Context Protocol (MCP) interface for store operations, complete with transaction audit trails and discrete tool-based execution.

Facilitates interactions between agents and the WorkOS API, enabling functionalities like user management and organization handling.

Provide access to Transport NSW data including stops, alerts, and real-time departures through a standardized API interface. Enables efficient querying of transport information for integration into AI workflows.

Facilitates natural language interactions with the Cribl API to manage and query configurations, pipelines, sources, and system metrics. Enables efficient monitoring and management of Cribl environments through standardized MCP tooling.

Explore and manage Keboola Connection projects, including browsing buckets, tables, and components. Query tables directly, manage configurations, and trigger jobs through integration with AI tools.

Upload images and videos to Cloudinary via MCP clients. Integrates with Claude Desktop for media management.

Provides access to Aiven services such as PostgreSQL, Kafka, ClickHouse, and OpenSearch, enabling integration with LLMs for building full stack solutions. Facilitates management and interaction with Aiven projects and services.

Convert any OpenAPI V3 API into an MCP server, enabling seamless integration with AI-driven applications. Automates the creation of standardized MCP interfaces to enhance functionality and reduce manual efforts.

Provides AI-powered security insights focused on Kubernetes and cloud environments, enabling monitoring, analysis, and securing of infrastructure with detailed visibility and actionable findings.

Orchestrate and launch bespoke artificial intelligence utilities that interface with AI agents, augmenting their capabilities using event-driven, serverless execution environments. Facilitates smooth interoperability across various MCP ecosystems, thereby broadening the accessibility of advanced AI functionalities.

A specialized repository dedicated to fostering individual evolution, furnishing AI-derived analyses and assets intended to elevate diverse facets of personal existence. It supplies bespoke instruments to back independent trajectories of self-betterment.

Facilitate application linkage with the Vapi Application Programming Interfaces (APIs) through the utilization of function invocation methods. This enables streamlined management of call initiation, virtual assistants, and telephone acquisition. Gain access to Vapi's comprehensive feature set, either hosted internally or externally, prioritizing robust security protocols and superior user experience.

A curated digital repository illustrating an engineer's technical proficiencies, professional journey, and completed undertakings. This platform serves to enhance professional visibility, foster connections, and highlight specialized expertise in fintech solution architecture and user-centric interface design.

Provides cost exploration capabilities by supplying OpsNow's cost data in MCP format to compatible clients. Facilitates efficient communication between MCP clients and OpsNow resources for real-time cost data access.

Provides utilities to develop and use Model Context Protocols (MCPs) with Smithery, facilitating seamless connections to various MCPs and transforming responses for OpenAI and Anthropic clients.

Facilitates interaction between AI agents and external tools or data sources, enabling dynamic capabilities and integration with real-world data. Supports various functionalities like local and hosted functions, providing tools for debugging, extension, and communication protocols.

Facilitates secure execution of PostgreSQL commands, holistic database administration, interaction with the Management API, and user authentication handling, incorporating robust, multi-layered safety mechanisms.

Integrate applications with external tools and data sources using standardized interfaces, facilitating interaction with real-world data for various projects. Supports both TypeScript and Python environments.

Scans project directories for security vulnerabilities using Trivy and automatically updates vulnerable dependencies to secure versions, supporting multiple package managers like Python, Node.js, Ruby, and Go.

Provides efficient search capabilities for AWS Lambda Powertools documentation across various runtimes, enabling rapid querying and retrieval of relevant documentation content. Supports version-specific searches to ensure results are current with the latest documentation available.

Send SMS messages using the Twilio API and receive status callbacks for enhanced message management. Integrate seamlessly with LLM applications like Claude AI through the Model Context Protocol (MCP).

Interface with Mercury banking data to access financial information and perform various banking operations through compatible MCP clients.

Establishes a dynamic blogging platform utilizing DatoCMS for content administration, featuring a pre-defined data structure, a modern React frontend, and seamless integration via a GraphQL API layer.

Interact with Google Sheets to create, read, and edit spreadsheets. Automate spreadsheet tasks to improve data management workflows.

Enables AI agents to securely interface with Obsidian knowledge repositories via the Model Context Protocol (MCP) layer. This mechanism employs a local proxy service to facilitate operations such as semantic retrieval, parameterized document generation via templates, and organized filesystem manipulation, all while strictly maintaining data isolation and user confidentiality.

Interface for interacting with Azure Data Explorer (ADX) deployments. Enables execution of KQL queries, retrieval of metadata (tables, schemas), and exploration across diverse internal and external datasets.