# SharkMCP

> Use this tool when you need to analyze network traffic patterns and inspect packet data through natural language queries. SharkMCP enables large language models (LLMs) to load and examine PCAP/PCAPNG files, providing insights into traffic structure, conversations, and protocol statistics. It supports packet inspection and traffic analysis, making it ideal for troubleshooting network issues and understanding communication protocols.

Canonical page: https://skillsregistry.net/skills/weirdmachine64-sharkmcp  
JSON: https://api.skillsregistry.net/v1/skills/weirdmachine64-sharkmcp

## Description

Enables LLMs to load and analyze PCAP/PCAPNG files using Wireshark's sharkd interface, supporting packet inspection, traffic structure, conversations, and protocol statistics through natural language.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dmwvxzw42x)
- **Repository:** <https://github.com/weirdmachine64/SharkMCP>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "weirdmachine64-sharkmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/weirdmachine64-sharkmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/weirdmachine64-sharkmcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt