# webfetch

> webfetch — firish-webfetch. Use this tool when you need to efficiently search the web by fusing results from multiple search engines, reducing costs and tokens through page compression and caching. It solves problems of information overload, high search costs, and repetitive queries by providing a localized search solution. Ideal for use cases where repeated or paraphrased queries are common, webfetch streamlines the search process with cached results and compressed page outputs.

Canonical page: https://skillsregistry.net/skills/firish-webfetch  
JSON: https://api.skillsregistry.net/v1/skills/firish-webfetch

## Description

Local web search MCP server that fuses multiple search engines, fetches and compresses pages to reduce tokens and cost, with caching for repeated and paraphrased queries.

## Trust

- **Trust score (0–1):** 0.36
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pu6e2axwo9)
- **Repository:** <https://github.com/firish/webfetch>

## 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": "firish-webfetch"
    }
  }
}
```

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