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kubeshark

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eBPF-powered network observability for Kubernetes. Indexes L4/L7 traffic with full K8s context, decrypts TLS without keys. Queryable by AI agents via MCP and humans via dashboard.

Subagents11.9k stars531 forksGoApache-2.0Updated yesterday
ClaudeWave Trust Score
100/100
Verified
Passed
  • Open-source license (Apache-2.0)
  • Actively maintained (<30d)
  • Clear description
  • Topics declared
  • Mature repo (>1y old)
  • Documented (README)
Last scanned: 4/14/2026
Install in Claude Desktop
Method detected: Manual
{
  "mcpServers": {
    "kubeshark": {
      "command": "node",
      "args": ["/path/to/kubeshark/dist/index.js"]
    }
  }
}
1. Copy the snippet above.
2. Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (Mac) or %APPDATA%\Claude\claude_desktop_config.json (Windows).
3. Replace any <placeholder> values with your API keys or paths.
4. Restart Claude Desktop. The MCP server appears automatically.
💡 Clone https://github.com/kubeshark/kubeshark and follow its README for install instructions.
Use cases

Subagents overview

<p align="center">
  <img src="https://raw.githubusercontent.com/kubeshark/assets/master/svg/kubeshark-logo.svg" alt="Kubeshark" height="120px"/>
</p>

<p align="center">
    <a href="https://github.com/kubeshark/kubeshark/releases/latest"><img alt="Release" src="https://img.shields.io/github/v/release/kubeshark/kubeshark?logo=GitHub&style=flat-square"></a>
    <a href="https://hub.docker.com/r/kubeshark/worker"><img alt="Docker pulls" src="https://img.shields.io/docker/pulls/kubeshark/worker?color=%23099cec&logo=Docker&style=flat-square"></a>
    <a href="https://discord.gg/WkvRGMUcx7"><img alt="Discord" src="https://img.shields.io/discord/1042559155224973352?logo=Discord&style=flat-square&label=discord"></a>
    <a href="https://join.slack.com/t/kubeshark/shared_invite/zt-3jdcdgxdv-1qNkhBh9c6CFoE7bSPkpBQ"><img alt="Slack" src="https://img.shields.io/badge/slack-join_chat-green?logo=Slack&style=flat-square"></a>
</p>

<p align="center"><b>Network Observability for SREs & AI Agents</b></p>

<p align="center">
  <a href="https://demo.kubeshark.com/">Live Demo</a> · <a href="https://docs.kubeshark.com">Docs</a>
</p>

---

Kubeshark indexes cluster-wide network traffic at the kernel level using eBPF — delivering instant answers to any query using network, API, and Kubernetes semantics.

**What you can do:**

- **Download Retrospective PCAPs** — cluster-wide packet captures filtered by nodes, time, workloads, and IPs. Store PCAPs for long-term retention and later investigation.
- **Visualize Network Data** — explore traffic matching queries with API, Kubernetes, or network semantics through a real-time dashboard.
- **See Encrypted Traffic in Plain Text** — automatically decrypt TLS/mTLS traffic using eBPF, with no key management or sidecars required.
- **Integrate with AI** — connect your favorite AI assistant (e.g. Claude, Copilot) to include network data in AI-driven workflows like incident response and root cause analysis.

![Kubeshark](https://github.com/kubeshark/assets/raw/master/png/stream.png)

---

## Get Started

```bash
helm repo add kubeshark https://helm.kubeshark.com
helm install kubeshark kubeshark/kubeshark
kubectl port-forward svc/kubeshark-front 8899:80
```

Open `http://localhost:8899` in your browser. You're capturing traffic.

> For production use, we recommend using an [ingress controller](https://docs.kubeshark.com/en/ingress) instead of port-forward.

**Connect an AI agent** via MCP:

```bash
brew install kubeshark
claude mcp add kubeshark -- kubeshark mcp
```

[MCP setup guide →](https://docs.kubeshark.com/en/mcp)

---

### Network Data for AI Agents

Kubeshark exposes cluster-wide network data via [MCP](https://docs.kubeshark.com/en/mcp) — enabling AI agents to query traffic, investigate API calls, and perform root cause analysis through natural language.

> *"Why did checkout fail at 2:15 PM?"*
> *"Which services have error rates above 1%?"*
> *"Show TCP retransmission rates across all node-to-node paths"*
> *"Trace request abc123 through all services"*

Works with Claude Code, Cursor, and any MCP-compatible AI.

![MCP Demo](https://github.com/kubeshark/assets/raw/master/gif/mcp-demo.gif)

[MCP setup guide →](https://docs.kubeshark.com/en/mcp)

### AI Skills

Open-source, reusable skills that teach AI agents domain-specific workflows on top of Kubeshark's MCP tools:

| Skill | Description |
|-------|-------------|
| **[Network RCA](skills/network-rca/)** | Retrospective root cause analysis — snapshots, dissection, PCAP extraction, trend comparison |
| **[KFL](skills/kfl/)** | KFL (Kubeshark Filter Language) expert — writes, debugs, and optimizes traffic filters |

Install as a Claude Code plugin:

```
/plugin marketplace add kubeshark/kubeshark
/plugin install kubeshark
```

Or clone and use directly — skills trigger automatically based on conversation context.

[AI Skills docs →](https://docs.kubeshark.com/en/mcp/skills)

---

### Query with API, Kubernetes, and Network Semantics

Kubeshark indexes cluster-wide network traffic by parsing it according to protocol specifications, with support for HTTP, gRPC, Redis, Kafka, DNS, and more. A single [KFL query](https://docs.kubeshark.com/en/v2/kfl2) can combine all three semantic layers — Kubernetes identity, API context, and network attributes — to pinpoint exactly the traffic you need. No code instrumentation required.

![KFL query combining API, Kubernetes, and network semantics](https://github.com/kubeshark/assets/raw/master/png/kfl-semantics.png)

[KFL reference →](https://docs.kubeshark.com/en/v2/kfl2) · [Traffic indexing →](https://docs.kubeshark.com/en/v2/l7_api_dissection)

### Workload Dependency Map

A visual map of how workloads communicate, showing dependencies, traffic volume, and protocol usage across the cluster.

![Service Map](https://github.com/kubeshark/assets/raw/master/png/servicemap.png)

[Learn more →](https://docs.kubeshark.com/en/v2/service_map)

### Traffic Retention & PCAP Export

Capture and retain raw network traffic cluster-wide, including decrypted TLS. Download PCAPs scoped by time range, nodes, workloads, and IPs — ready for Wireshark or any PCAP-compatible tool. Store snapshots in cloud storage (S3, Azure Blob, GCS) for long-term retention and cross-cluster sharing.

![Traffic Retention](https://github.com/kubeshark/assets/raw/master/png/snapshots-list.png)

[Snapshots guide →](https://docs.kubeshark.com/en/v2/traffic_snapshots) · [Cloud storage →](https://docs.kubeshark.com/en/snapshots_cloud_storage)

---

## Features

| Feature | Description |
|---------|-------------|
| [**Traffic Snapshots**](https://docs.kubeshark.com/en/v2/traffic_snapshots) | Point-in-time snapshots with cloud storage (S3, Azure Blob, GCS), PCAP export for Wireshark |
| [**Traffic Indexing**](https://docs.kubeshark.com/en/v2/l7_api_dissection) | Real-time and delayed L7 indexing with request/response matching and full payloads |
| [**Protocol Support**](https://docs.kubeshark.com/en/protocols) | HTTP, gRPC, GraphQL, Redis, Kafka, DNS, and more |
| [**TLS Decryption**](https://docs.kubeshark.com/en/encrypted_traffic) | eBPF-based decryption without key management, included in snapshots |
| [**AI Integration**](https://docs.kubeshark.com/en/mcp) | MCP server + open-source AI skills for network RCA and traffic filtering |
| [**KFL Query Language**](https://docs.kubeshark.com/en/v2/kfl2) | CEL-based query language with Kubernetes, API, and network semantics |
| [**100% On-Premises**](https://docs.kubeshark.com/en/air_gapped) | Air-gapped support, no external dependencies |

---

## Install

| Method | Command |
|--------|---------|
| Helm | `helm repo add kubeshark https://helm.kubeshark.com && helm install kubeshark kubeshark/kubeshark` |
| Homebrew | `brew install kubeshark && kubeshark tap` |
| Binary | [Download](https://github.com/kubeshark/kubeshark/releases/latest) |

[Installation guide →](https://docs.kubeshark.com/en/install)

---

## Contributing

We welcome contributions. See [CONTRIBUTING.md](CONTRIBUTING.md).

## License

[Apache-2.0](LICENSE)
cloud-nativedevopsdockerebpfgolanggrpcincident-responsekubernetesmcpnetwork-analysisnetwork-engineeringnetwork-observabilitynetwork-securityobservabilitypcaprestroot-cause-analysissniffersrewireshark

What people ask about kubeshark

What is kubeshark/kubeshark?

+

kubeshark/kubeshark is subagents for the Claude AI ecosystem. eBPF-powered network observability for Kubernetes. Indexes L4/L7 traffic with full K8s context, decrypts TLS without keys. Queryable by AI agents via MCP and humans via dashboard. It has 11.9k GitHub stars and was last updated yesterday.

How do I install kubeshark?

+

You can install kubeshark by cloning the repository (https://github.com/kubeshark/kubeshark) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is kubeshark/kubeshark safe to use?

+

Our security agent has analyzed kubeshark/kubeshark and assigned a Trust Score of 100/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.

Who maintains kubeshark/kubeshark?

+

kubeshark/kubeshark is maintained by kubeshark. The last recorded GitHub activity is from yesterday, with 136 open issues.

Are there alternatives to kubeshark?

+

Yes. On ClaudeWave you can browse similar subagents at /categories/agents, sorted by popularity or recent activity.

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