# Fetch-Save MCP Server

> Use this tool when you need to retrieve web content and store it locally for later access, enabling large language models (LLMs) to access and utilize saved information. It solves problems of ephemeral web data and limited model memory by providing permanent storage and recall of fetched content. The Fetch-Save MCP Server takes web URLs as input and outputs saved local files, ideal for use cases requiring data persistence and offline access.

Canonical page: https://skillsregistry.net/skills/gregberns-mcp-server-fetch-save  
JSON: https://api.skillsregistry.net/v1/skills/gregberns-mcp-server-fetch-save

## Description

A Model Context Protocol server that enables LLMs to retrieve web content and save it to local files for permanent storage and later access.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a6xka6rgrm)
- **Repository:** <https://github.com/gregberns/mcp-server-fetch-save>

## 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": "gregberns-mcp-server-fetch-save"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gregberns-mcp-server-fetch-save` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gregberns-mcp-server-fetch-save/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