# edge-favorites-mcp

> Use this tool when you need to efficiently manage and retrieve Microsoft Edge browser favorites, solving problems of disorganization and difficult access to bookmarked sites. It allows AI agents to search favorites by keyword, folder, or list all folders, providing a streamlined interface for inputting search queries and outputting relevant favorite listings. This tool is ideal for use cases where quick favorite retrieval is necessary, such as research, information gathering, or workflow optimization.

Canonical page: https://skillsregistry.net/skills/danespinosa-edge-favorites-mcp  
JSON: https://api.skillsregistry.net/v1/skills/danespinosa-edge-favorites-mcp

## Description

Enables AI agents to search and list Microsoft Edge browser favorites by keyword, folder, or list all folders.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tk8dbt40db)
- **Repository:** <https://github.com/danespinosa/edge-favorites-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": "danespinosa-edge-favorites-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/danespinosa-edge-favorites-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/danespinosa-edge-favorites-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