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Categorizes and provides tools for a variety of software development and management purposes.
Enables the use of Model Context Protocol (MCP) servers with Cloudflare Durable Objects, utilizing a Server-Sent Events (SSE) transport layer.
Provides a simple echo service, returning messages it receives for diagnostic and testing purposes within the MCP framework.
Provides a comprehensive JSON Schema validation server for real-time data validation, supporting external references and the latest JSON Schema specifications.
Launch new cryptocurrency tokens and manage liquidity on Ethereum and Solana blockchains using an AI-powered natural language interface.
Manage Docker containers through an HTTP API or MCP server, enabling seamless integration with AI agents for isolated code execution.
Bridges communication bi-directionally between MCP and HTTP, designed for modern microservices architectures with a focus on scalability, reliability, and observability.
Enables real-time debugging of production Node.js applications by extracting live variable values directly from the runtime.
Converts various document types, including PDF, DOCX, PPTX, and images, into clean Markdown suitable for RAG/LLM workflows on the Apify platform.
Integrate with the App Store Connect API to manage apps, reviews, TestFlight, analytics, and Xcode Cloud workflows.
Enables comprehensive management of Bitbucket resources through API operations via an MCP server.
Offers a Go SDK for interacting with ZeroTierOne local nodes and Central API, enabling network management and MCP service integration.
Provides a Model Context Protocol server to enable NovelAI image generation capabilities for compatible clients.
Provides Model Context Protocol (MCP) tools for managing the Pueue task queue system through an interactive client.
Integrates TrueNAS SCALE management capabilities with AI assistants, enabling programmatic interaction and automation.
Exposes Raspberry Pi hardware and system capabilities through APIs, allowing AI agents and automation systems to interact with real-world devices.
Exposes Kubeflow training operations as tools, enabling AI assistants to manage distributed model training on Kubernetes through natural conversation.
Manages AI workloads on Kubernetes using GitOps principles for diverse inference services and development environments.
Extends the Gemini CLI with expert-level support for VictoriaMetrics and VictoriaLogs, offering advanced query capabilities, health monitoring, and troubleshooting tools.
Enables AI agents to declaratively manage cloud infrastructure via Kubernetes using Crossplane.
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