cortex-cloud-docs-mcp-server

Instructions

Implementation Reference

• src/main.py:209-213 (handler)

  The tool handler for 'index_cortex_docs', registered via @mcp.tool() decorator. It invokes the DocumentationIndexer to crawl and cache up to max_pages from the Cortex Cloud docs site.
  @mcp.tool() async def index_cortex_docs(max_pages: int = 50) -> str: """Index Cortex Cloud documentation. Call this first before searching.""" pages_indexed = await indexer.index_site('cortex_cloud', max_pages) return f"Indexed {pages_indexed} pages from Cortex Cloud documentation"
• src/main.py:34-100 (helper)

  The core helper method in DocumentationIndexer that performs web crawling, parsing with BeautifulSoup, content extraction, and caching of documentation pages from the specified site.
  async def index_site(self, site_name: str, max_pages: int = 100): """Index documentation from a specific site""" if site_name not in self.base_urls: raise ValueError(f"Unknown site: {site_name}") base_url = self.base_urls[site_name] visited_urls = set() urls_to_visit = [base_url] pages_indexed = 0 async with aiohttp.ClientSession() as session: while urls_to_visit and pages_indexed < max_pages: url = urls_to_visit.pop(0) if url in visited_urls: continue visited_urls.add(url) try: async with session.get(url, timeout=10) as response: if response.status == 200: content = await response.text() soup = BeautifulSoup(content, 'html.parser') # Extract page content title = soup.find('title') title_text = title.text.strip() if title else url # Remove script and style elements for script in soup(["script", "style"]): script.decompose() # Get text content text_content = soup.get_text() lines = (line.strip() for line in text_content.splitlines()) chunks = (phrase.strip() for line in lines for phrase in line.split(" ")) text = ' '.join(chunk for chunk in chunks if chunk) # Store in cache self.cached_pages[url] = CachedPage( title=title_text, content=text[:5000], # Limit content length url=url, site=site_name, timestamp=time.time() ) pages_indexed += 1 # Find more links to index if pages_indexed < max_pages: links = soup.find_all('a', href=True) for link in links: href = link['href'] full_url = urljoin(url, href) # Only index URLs from the same domain if urlparse(full_url).netloc == urlparse(base_url).netloc: if full_url not in visited_urls and full_url not in urls_to_visit: urls_to_visit.append(full_url) except Exception as e: print(f"Error indexing {url}: {e}") continue return pages_indexed
• src/main.py:11-23 (helper)

  Dataclass used to cache indexed page data with expiration logic.
  @dataclass class CachedPage: title: str content: str url: str site: str timestamp: float ttl: float = 3600 # 1 hour default TTL @property def is_expired(self) -> bool: return time.time() > self.timestamp + self.ttl
• src/main.py:209-209 (registration)

  The @mcp.tool() decorator registers the index_cortex_docs function as an MCP tool.
  @mcp.tool()
• src/main.py:210-210 (schema)

  Function signature defining input schema (max_pages: int = 50) and output (str).
  async def index_cortex_docs(max_pages: int = 50) -> str: