search_cortex_docs
Query Cortex Cloud documentation to find specific information or answers. Utilizes the cortex-cloud-docs-mcp-server to provide precise results based on your search.
Instructions
Search Cortex Cloud documentation
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes |
Implementation Reference
- src/main.py:191-195 (handler)The handler function for the 'search_cortex_docs' tool. It is decorated with @mcp.tool() which registers it with the MCP server. The function calls the DocumentationIndexer's search_docs method filtered to the 'cortex_cloud' site and returns the top results as JSON.@mcp.tool() async def search_cortex_docs(query: str) -> str: """Search Cortex Cloud documentation""" results = await indexer.search_docs(query, site='cortex_cloud') return json.dumps(results, indent=2)
- src/main.py:191-191 (registration)The @mcp.tool() decorator registers the search_cortex_docs function as an MCP tool.@mcp.tool()
- src/main.py:102-154 (helper)The helper method in DocumentationIndexer class that performs the actual search, scoring pages by title and content matches, extracting snippets, and returning top 10 results.async def search_docs(self, query: str, site: str = None) -> List[Dict]: """Search indexed documentation""" if not self.cached_pages: return [] query_lower = query.lower() results = [] for url, page in self.cached_pages.items(): # Filter by site if specified if site and page.site != site: continue # Calculate relevance score score = 0 title_lower = page.title.lower() content_lower = page.content.lower() # Higher score for title matches if query_lower in title_lower: score += 10 # Even higher for exact title matches if query_lower == title_lower: score += 20 # Score for content matches content_matches = content_lower.count(query_lower) score += content_matches * 2 # Score for partial word matches in title query_words = query_lower.split() for word in query_words: if word in title_lower: score += 5 if word in content_lower: score += 1 if score > 0: # Extract snippet around first match snippet = self._extract_snippet(page.content, query, max_length=200) results.append({ 'title': page.title, 'url': page.url, 'site': page.site, 'snippet': snippet, 'score': score }) # Sort by relevance score (highest first) and limit results results.sort(key=lambda x: x['score'], reverse=True) return results[:10]
- src/main.py:11-23 (helper)Dataclass used to cache indexed documentation pages 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