"Helm" matching MCP servers:

Enables AI assistants to manage Kubernetes deployments using Helm through natural language, providing full access to Helm CLI capabilities such as installing charts, managing releases, and searching repositories.

Provides AI assistants with real Helm chart data from repositories, enabling accurate queries of chart values, versions, dependencies, and search without hallucination.

Enables unified access to a multi-node DSH control plane, routing ChatGPT tool calls to appropriate node agents with presence awareness, health monitoring, and fail-closed execution.

Read-only MCP server for safe Kubernetes inspection, diagnosis, and debugging. Supports Kubernetes core, Helm, Argo Workflows, and Argo CD.

MCP server to lint and validate Kubernetes-related manifests(Helm, FluxCD, ArgoCD, Kustomize, etc.)

Enables Claude to run Kubernetes CLI tools (kubectl, istioctl, helm, argocd) in a secure, containerized environment via the Model Context Protocol.

Enables AI agents to safely observe and troubleshoot Kubernetes workloads, with limited recovery actions like pod deletion and Helm rollbacks, while preventing dangerous modifications.

A powerful and flexible Kubernetes MCP server implementation with support for OpenShift.

An MCP server for searching SAP Help Portal documentation, enabling AI assistants to search, browse, and retrieve SAP documentation programmatically.

An MCP server that enables local BM25 search over 1C:Enterprise platform documentation, exposing identical tools via both stdio and streamable HTTP endpoints.

A MCP server do create and deploy backend applications using https://heim.dev

MCP server that exposes OpenClaw Gateway tools to Claude Code and other MCP clients, enabling messaging, session management, scheduling, node control, web search, memory search, and TTS.

Enables connecting to a Kubernetes cluster to manage resources and troubleshoot workloads with kubectl and Helm operations, including logs, scaling, port forwarding, and non-destructive mode.

Self-hosted, source-available AI workflow automation platform. Build multi-agent, RAG, and tool-using pipelines on a visual canvas and publish any workflow as an MCP server (stdio/SSE/Streamable HTTP). Also an MCP client via the agent node.

MCP server that transforms Voice of Customer data into actionable customer experience insights through structured analysis and synthesis.

Enables agents to search answered tickets, ask new questions, and answer waiting questions on the shared help desk, while providing read-only observation of visits.

A self-hosted MCP server that provides capability packs for AI agents to perform browser, desktop, git, and code actions via schema-validated JSON calls, enabling reliable agentic workflows even with small open-weight models.

A federated MCP server that combines IBM's engineering-ai-hub tools with its own authoring and orchestration tools for IBM ELM, enabling AI hosts to manage requirements, models, and compliance through a single interface.

Enables reading customer-support conversations, inboxes, and service performance from the Help Scout Inbox API.

A production middleware toolkit for MCP servers providing auth, health checks, graceful shutdown, and transport ergonomics, enabling rapid development of robust MCP servers.