# network-capture-mcp

> network-capture-mcp — sfgarza-network-capture-mcp. Use this tool when you need to capture and analyze network traffic within an AI agent, solving problems related to network communication and data exchange. It provides a lightweight proxy server and database to store and examine traffic, accepting network requests as input and outputting analyzed traffic data. Ideal for debugging and optimizing AI agent network interactions, use it to identify and resolve communication issues.

Canonical page: https://skillsregistry.net/skills/sfgarza-network-capture-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sfgarza-network-capture-mcp

## Description

An MCP server with a built in lightweight proxy server & DB to capture & analyze network traffic within an AI agent

## Trust

- **Trust score (0–1):** 0.77
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/sfgarza/network-capture-mcp)

## 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": "sfgarza-network-capture-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sfgarza-network-capture-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sfgarza-network-capture-mcp/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