# project-tendril

> project-tendril — gadgethd-project-tendril. Use this tool when you need to control a local Chromium browser instance for automated browsing, research, or crawling tasks. It enables AI agents to interact with web pages through semantic snapshots, reference-based actions, and Chrome DevTools Protocol (CDP) access. Ideal for use cases requiring isolated, programmatic browser operation, such as data extraction, automation, or testing.

Canonical page: https://skillsregistry.net/skills/gadgethd-project-tendril  
JSON: https://api.skillsregistry.net/v1/skills/gadgethd-project-tendril

## Description

Enables AI agents to operate an isolated local Chromium browser through MCP, with semantic snapshots, ref-based actions, search, research, crawling, and CDP access.

## Trust

- **Trust score (0–1):** 0.38
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zbbbaqup4t)
- **Repository:** <https://github.com/gadgethd/Project-Tendril>

## 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": "gadgethd-project-tendril"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gadgethd-project-tendril` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gadgethd-project-tendril/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