# keyless-web-search-mcp

> keyless-web-search-mcp — dollarser-keyless-web-search-mcp. Use this tool when you need to perform anonymous web searches across multiple engines without relying on API keys or vendor dependencies. It solves problems of restricted access and vendor lock-in by providing a fallback mechanism and relevance ranking for search results. The tool accepts search queries as input and returns ranked search results and fetched web pages as output.

Canonical page: https://skillsregistry.net/skills/dollarser-keyless-web-search-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dollarser-keyless-web-search-mcp

## Description

Enables keyless web search across multiple engines with fallback and relevance ranking, plus anonymous HTTP(S) page fetching, all without API keys or vendor dependencies.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ad2dwgp7jx)
- **Repository:** <https://github.com/dollarser/keyless-web-search-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": "dollarser-keyless-web-search-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dollarser-keyless-web-search-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dollarser-keyless-web-search-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