Captures cluster-wide network traffic for Kubernetes, offering L4 packet analysis, L7 API call dissection, and decrypted TLS using eBPF with full Kubernetes context.
How to Connect & Install
Select your client or environment below to copy the verified, ready-to-run installation configuration.
1-line autonomous agent setup instruction. Paste into Claude Code, Codex CLI, or Cursor Agent:
Fetch and configure Model Context Protocol (MCP) server Kubeshark from https://www.fastmcp.dev/server/kubeshark
Agents automatically discover, install, and execute the server spec without manual token setup.
Connect via direct Stateless MCP v2 / Streamable HTTP endpoint or JSON-RPC:
https://github.com/kubeshark/kubeshark
Stateless edge endpoint compliant with MCP 2024-11-05 and v2 draft protocol specs.
Includes server instructions and tool definitions for Claude:
claude mcp add kubeshark -- npx -y kubeshark
Run in terminal to register server in current project or pass --scope user for global availability.
Configures server instructions and tools for OpenAI Codex & ChatGPT Desktop:
Standard agent skill installer compatible with Claude Code, Cursor, and agy harnesses.
Server Guidance & InstructionsOpenAI & Claude Spec Compliant
Kubeshark: Captures cluster-wide network traffic for Kubernetes, offering L4 packet analysis, L7 API call dissection, and decrypted TLS using eBPF with full Kubernetes context. Key capabilities: Exportable PCAP Traffic Snapshots; Continuous Cluster-Wide Raw Packet Capture; L7 API Dissection with Full Payload Parsing.
Codex and Claude read this instruction prompt during initialization to orchestrate cross-tool workflows and rate limits.