"author:ACRT-EVAL" matching MCP servers:

Enables MCP-compatible AI applications to translate text between many languages, with automatic source-language detection, contextual hints, and custom translation instructions.

Enables MCP-compatible AI applications to translate text between languages with automatic language detection, contextual hints, custom instructions, and multi-language support.

Enables connection to a Kubernetes cluster to list and manage pods, services, deployments, and nodes, create/delete/describe pods, inspect namespaces, and retrieve logs for debugging.

Connects to a Kubernetes cluster using your current kubectl context, letting an assistant list pods, services, deployments, nodes, and namespaces, create, delete, and describe pods, and pull logs for debugging. It turns everyday cluster management into natural-language tool calls.

Enables connecting to a Kubernetes cluster through kubectl context to list and manage pods, services, deployments, nodes, and namespaces, create or delete pods, describe pods, and retrieve logs for debugging.

Enables connection to a Kubernetes cluster to list and manage pods, services, deployments, nodes, and namespaces, including creating, deleting, describing pods and retrieving logs for debugging.

Enables AI applications to perform multi-language translations with automatic language detection, contextual hints, and custom instructions through an MCP-compatible interface.

Enables AI applications to translate text through the Lara Translate API, with automatic language detection, context-aware translations, and custom instructions.

Enables MCP-compatible AI applications to translate text through the Lara Translate API, with automatic language detection, context-aware translations, and custom instructions.

Enables AI applications to perform text translation across numerous language pairs with automatic source-language detection, contextual hints, and custom instructions.