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Automates the setup of custom CI/CD pipelines for AWS Amplify Gen 2 applications with comprehensive auto-fix capabilities.
Provides an all-in-one Docker image for the QuantConnect Lean algorithmic trading engine, offering GPU support, a modern Web UI, REST API, and Model Context Protocol (MCP) integration.
Provides humorous and localized deployment advice to prevent AI coding agents from deploying applications on unsuitable days.
Installs and manages other MCP servers via prompts.
Simplifies framework deployments on shared hosting environments using the Model Context Protocol.
Automatically validates, secures, and estimates cloud costs for Terraform configurations.
Provides secure, read-only access to Amazon Redshift data warehouses for AI assistants and LLMs.
Provides read-only, structured access to Velero backup and schedule resources within Kubernetes clusters for AI agents via the Model Context Protocol.
Generates a Node.js/TypeScript MCP server from an OpenAPI v3 specification, mapping each operation to an MCP tool.
Unifies project quality, development standards, and environment consistency across all development projects with zero-cost deployment.
Manages remote Linux servers through an AI assistant, enabling command execution, file transfers, and automation via a natural chat interface.
Connects large language models to Oracle Cloud Infrastructure, enabling direct interaction with cloud resources.
Formats Protocol Buffer (.proto) files (versions 2, 3, and editions).
Enables generative AI to access Mitsubishi PLC devices in real time using the MC Protocol.
Converts Fabric AI's REST API into MCP-compatible services for seamless interaction with Model Context Protocol (MCP) clients.
Establishes a revolutionary AI-driven naming convention that encodes complete file context into filenames, facilitating autonomous AI code generation and human-AI collaboration.
Provides a Model Context Protocol server to interact with Atlassian Jira, Confluence, and Bitbucket instances, supporting both Cloud and Data Center deployments.
Exposes AWS Lambda functions as discoverable and invocable tools for MCP-compatible agents and workflows.
Provides a governed command plane for autonomous agents to execute infrastructure tasks across data platforms, remote shells, and web services.
Provides a foundational backend server for specialized application needs.
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