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Orchestrates the creation and management of multiple isolated Model Context Protocol servers from a single connector, enabling robust AI assistant integrations with databases and APIs.
Exposes safe, structured read/write tools for Perforce P4 version control system assets like changelists, files, and workspaces via the Model Context Protocol.
Verifies Maven dependency versions and retrieves the latest versions from the Maven Central Repository.
Enhances a Model Context Protocol server with WebSocket functionality for real-time data updates.
Control Apache Airflow instances via Airflow APIs through a Model Context Protocol (MCP) server.
Enables app management, build operations, and artifact management for the Bitrise API.
Orchestrates OWASP ZAP actions, such as spidering, active scanning, and report generation, via an MCP server.
Exposes the Keycloak admin client as a Model-Context Protocol (MCP) server.
Enables natural language control of robots in ROS environments by interacting with topics, services, and actions.
Manages AWS cloud resources through a natural language chat interface.
Provides a robust template for developing and deploying Model Context Protocol (MCP) servers using Deno.
Provides an AI-powered setup wizard for development tools and libraries, automating their installation and configuration processes.
Diagnose network issues and optimize TCP performance on Linux servers with AI-assisted configuration.
Provides a production-ready NestJS boilerplate featuring JWT authentication, PostgreSQL/Prisma, AWS integrations, robust queuing, containerization support, and Model Context Protocol for AI capabilities.
Provides a suite of tools for automated frontend testing, including code analysis, test generation, and test execution.
Equips AI assistants with stateful terminal sessions and file transfer capabilities for robust remote server management.
Manages OPNSense firewalls through natural language interactions via Claude Desktop, acting as an Infrastructure as Code proxy.
Converts OpenAPI specifications into fully functional Model Context Protocol (MCP) servers.
Enables security administrators to manage their pfSense firewalls using natural language through AI assistants.
Manages Kubernetes clusters and analyzes workload status.
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