# self-healing-browser-mcp

> self-healing-browser-mcp — rajushanigarapu-self-healing-browser-mcp. Use this tool when you need to automate web interactions with reliability and flexibility, as it solves the problem of fragile selectors and broken automations by using self-healing locators that adapt to changing web pages. It takes natural language inputs and outputs controlled browser actions, enabling seamless interaction with web applications. Ideal for use cases where web automation requires resilience and accuracy, such as data extraction, testing, and workflow automation.

Canonical page: https://skillsregistry.net/skills/rajushanigarapu-self-healing-browser-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rajushanigarapu-self-healing-browser-mcp

## Description

Enables AI agents to control a browser with self-healing locators that automatically recover when selectors change, allowing reliable web automation through natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/e2vstc7vwa)
- **Repository:** <https://github.com/RAJUSHANIGARAPU/self-healing-browser-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": "rajushanigarapu-self-healing-browser-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rajushanigarapu-self-healing-browser-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rajushanigarapu-self-healing-browser-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