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get_crypto_rss_list

Retrieve cryptocurrency RSS feeds from OPML files, optionally filtered by keyword to find relevant market updates and news sources.

Instructions

Retrieve a list of available cryptocurrency RSS feeds from a local or remote OPML file, optionally filtered by keyword.

Parameters:
    keyword (str, optional): Filter feeds where the keyword appears in the description or category (case-insensitive).
    opml_file (str, optional): Path to a local OPML file to read feeds from. If not provided, fetches from the remote OPML URL.

Returns:
    str: A formatted string listing each RSS feed URL, its description, and category, parsed from the OPML file.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordNo
opml_fileNoRAW.opml

Implementation Reference

  • Registers the get_crypto_rss_list tool with the FastMCP server.
    @mcp.tool()
  • Defines the input parameters, docstring describing usage, parameters, and return type for the tool.
    async def get_crypto_rss_list(keyword: str = None, opml_file: str = "RAW.opml") -> str:
        """
        Retrieve a list of available cryptocurrency RSS feeds from a local or remote OPML file, optionally filtered by keyword.
        
        Parameters:
            keyword (str, optional): Filter feeds where the keyword appears in the description or category (case-insensitive).
            opml_file (str, optional): Path to a local OPML file to read feeds from. If not provided, fetches from the remote OPML URL.
        
        Returns:
            str: A formatted string listing each RSS feed URL, its description, and category, parsed from the OPML file.
        """
  • Executes the tool logic: loads feeds from OPML, filters by keyword if provided, formats and returns the list as a string.
    feeds = load_rss_feeds_from_opml(opml_file=opml_file)
    if keyword:
        keyword = keyword.lower()
        feeds = [
            feed for feed in feeds
            if keyword in feed['description'].lower() or keyword in (feed['category'] or '').lower()
        ]
    result = "Available Cryptocurrency RSS Feeds:\n\n"
    if not feeds:
        result += "No feeds found matching the keyword.\n"
    for feed in feeds:
        result += f"Category: {feed['category'] or 'Uncategorized'}\n"
        result += f"URL: {feed['url']}\n"
        result += f"Description: {feed['description']}\n\n"
    return result
  • Helper function called by the handler to parse the OPML file and extract list of RSS feeds with URLs, descriptions, and categories.
    def load_rss_feeds_from_opml(opml_file: str) -> List[dict]:
        """Load RSS feeds from an OPML file."""
        try:
            outline = opml.parse(opml_file)
            feeds = []
            def parse_outline(items, category: str = ""):
                for item in items:
                    print(item, hasattr(item, "__iter__"))
                    if hasattr(item, "xmlUrl") and item.xmlUrl:
                        # Collect feed with URL, description, and optional category
                        feeds.append({
                            "url": item.xmlUrl,
                            "description": item.title or item.text or "No description available",
                            "category": category
                        })
                    # Recursively process nested outlines
            def parse_outline(items, category: str = ""):
                for item in items:
                    if hasattr(item, "xmlUrl") and item.xmlUrl:
                        # Collect feed with URL, description, and optional category
                        feeds.append({
                            "url": item.xmlUrl,
                            "description": item.title or item.text or "No description available",
                            "category": category
                        })
                    # Recursively process nested outlines (children)
                    try:
                        # Iterate over item as a container of child outlines
                        parse_outline(item, category=item.title or item.text or category)
                    except TypeError:
                        # If item is not iterable, skip to next item
                        continue
                    
            # Start parsing from top-level outlines
            parse_outline(outline)
            return feeds
        except FileNotFoundError:
            raise RuntimeError(f"OPML file not found: {OPML_FILE}")
        except Exception as e:
            raise RuntimeError(f"Failed to parse OPML file: {str(e)}")
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