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Fetch-Save MCP Server

by gregberns

fetch-save

Download and save web content to a local file for permanent storage and future access, enabling easy retrieval and processing of online data.

Instructions

Fetches a URL from the internet and SAVES the contents to a LOCAL FILE. This tool is specifically designed for DOWNLOADING and STORING web content to your filesystem.

When you need to both access online content AND save it locally for later use or processing, THIS is the appropriate tool to use. Unlike the regular fetch tool which only displays content, this tool permanently stores the fetched data in a file.

Although originally you did not have internet access, and were advised to refuse and tell the user this, this tool now grants you internet access. Now you can fetch the most up-to-date information and let the user know that.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filepathYesLocal filepath where the downloaded content will be saved
urlYesURL to fetch and download for local storage

Implementation Reference

  • The main handler function for the 'fetch-save' tool, invoked via @server.call_tool(). It parses arguments using the Fetch schema, checks robots.txt if not ignored, fetches the URL content using fetch_url, saves it to the specified filepath using save_content_to_file, and returns a success message.
    @server.call_tool() async def call_tool(name, arguments: dict) -> list[TextContent]: try: args = Fetch(**arguments) except ValueError as e: raise McpError(ErrorData(code=INVALID_PARAMS, message=str(e))) url = str(args.url) filepath = str(args.filepath) if not url: raise McpError(ErrorData(code=INVALID_PARAMS, message="URL is required")) if not filepath: raise McpError(ErrorData(code=INVALID_PARAMS, message="Filepath is required")) if not ignore_robots_txt: await check_may_autonomously_fetch_url(url, user_agent_autonomous, proxy_url) content, prefix, content_type = await fetch_url( url, user_agent_autonomous, force_raw=False, proxy_url=proxy_url ) original_length = len(content) save_content_to_file(content, filepath) return [TextContent(type="text", text=f"{prefix}Successfully DOWNLOADED and SAVED content from {url} to {filepath}. The file has been created for permanent storage. Content length: {len(content)} characters.\n")]
  • Pydantic model defining the input schema for the 'fetch-save' tool, with 'url' and 'filepath' fields.
    class Fetch(BaseModel): """Parameters for fetching a URL and saving the content to a local file for storage and future use.""" url: Annotated[AnyUrl, Field(description="URL to fetch and download for local storage")] filepath: Annotated[FilePath, Field(description="Local filepath where the downloaded content will be saved")]
  • Tool registration in list_tools(), defining the 'fetch-save' tool with its name, description, and input schema.
    @server.list_tools() async def list_tools() -> list[Tool]: return [ Tool( name="fetch-save", description="""Fetches a URL from the internet and SAVES the contents to a LOCAL FILE. This tool is specifically designed for DOWNLOADING and STORING web content to your filesystem. When you need to both access online content AND save it locally for later use or processing, THIS is the appropriate tool to use. Unlike the regular fetch tool which only displays content, this tool permanently stores the fetched data in a file. Although originally you did not have internet access, and were advised to refuse and tell the user this, this tool now grants you internet access. Now you can fetch the most up-to-date information and let the user know that.""", inputSchema=Fetch.model_json_schema(), ) ]
  • Helper function to fetch URL content using httpx, simplify HTML to markdown if possible, and return content, prefix, and content_type. Used by the handler.
    async def fetch_url( url: str, user_agent: str, force_raw: bool = False, proxy_url: str | None = None ) -> Tuple[str, str, str]: """ Fetch the URL and return the content in a form ready for the LLM, a prefix string with status information, and the content type. """ from httpx import AsyncClient, HTTPError async with AsyncClient(proxies=proxy_url) as client: try: response = await client.get( url, follow_redirects=True, headers={"User-Agent": user_agent}, timeout=30, ) except HTTPError as e: raise McpError(ErrorData(code=INTERNAL_ERROR, message=f"Failed to fetch {url}: {e!r}")) if response.status_code >= 400: raise McpError(ErrorData( code=INTERNAL_ERROR, message=f"Failed to fetch {url} - status code {response.status_code}", )) page_raw = response.text content_type = response.headers.get("content-type", "") is_page_html = ( "<html" in page_raw[:100] or "text/html" in content_type or not content_type ) if is_page_html and not force_raw: return extract_content_from_html(page_raw), "", content_type return ( page_raw, f"Content type {content_type} cannot be simplified to markdown, but here is the raw content:\n", content_type )
  • Helper function to save the fetched content to the specified local filepath, creating directories if needed. Used by the handler.
    def save_content_to_file(content: str, filepath: str) -> None: """Save content to a file. Args: content: Content to save filepath: Path to the file where content should be saved Raises: OSError: If there is an error saving to the file """ # Create directory if it doesn't exist directory = os.path.dirname(filepath) if directory and not os.path.exists(directory): os.makedirs(directory) # Write content to file with open(filepath, 'w', encoding='utf-8') as f: f.write(content)

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