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Integrates the complete Porkbun domain and DNS management API, enabling AI assistants to programmatically control domains and DNS records.
Streamlines CMake project configuration, building, and testing through a unified web interface and API.
Enables AI agents to manage Cloudflare DNS records for your domains.
Enables AI assistants to securely apply unified diff patches to files, offering comprehensive security validation and error recovery workflows.
Manages bash commands asynchronously, enabling parallel execution and independent progress monitoring for AI agents.
Integrates the Exely Distribution API with a Large Language Model (LLM) to enable hotel booking interactions through a Telegram bot.
Enables AI agents to manage Kubernetes clusters by providing a secure, standardized interface to the Cluster API (CAPI).
Manage enterprise-grade fork parity with AI-powered analysis and automated workflows for upstream repositories.
Provides a quickstart boilerplate for building Model Context Protocol servers with Python and FastMCP, optimized for Render deployment.
Provides comprehensive monitoring and analysis of Precision Time Protocol (PTP) systems within OpenShift clusters.
Categorizes and provides tools for a variety of software development and management purposes.
Provides a Model Context Protocol (MCP) server to manage and access AWS VPC Lattice resources and documentation.
Enables AI applications to access advanced memory management features through the Model Context Protocol.
Provides a Model Context Protocol server to interact with Google Cloud Billing, Logging, and Monitoring services using natural language.
Manages persistent REPL sessions across various programming languages and shells.
Transforms Claude Desktop into a powerful Salesforce IDE, offering comprehensive tools for metadata management, testing, and multi-org operations.
Enables AI models to interact with Spinnaker deployments, pipelines, and applications through the Model Context Protocol (MCP).
Bridges communication bi-directionally between MCP and HTTP, designed for modern microservices architectures with a focus on scalability, reliability, and observability.
Converts natural language requests into valid kubectl commands for Kubernetes.
Provides an enhanced Model Context Protocol server for Qdrant, enabling robust vector memory management with advanced performance and deployment features.
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