# brocogni

> Use this tool when you need to observe and understand semantic browser data without compromising privacy or security. Brocogni provides AI agents with local, telemetry-free insights via MCP, solving problems related to data privacy and security in browser observation. It accepts browser data as input and outputs semantic insights, making it ideal for applications requiring private and secure data analysis.

Canonical page: https://skillsregistry.net/skills/hrshx3o5o6-brocogni  
JSON: https://api.skillsregistry.net/v1/skills/hrshx3o5o6-brocogni

## Description

semantic browser observation for AI agents via MCP, 100% local, zero telemetry

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/abe89bankr)
- **Repository:** <https://github.com/hrshx3o5o6/brocogni>

## 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": "hrshx3o5o6-brocogni"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hrshx3o5o6-brocogni` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hrshx3o5o6-brocogni/pull`

---
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