Skip to main content
Glama

prisma-cloud-docs-mcp-server

search_prisma_api_docs

Quickly find relevant information in Prisma Cloud API documentation by entering your query, streamlining access to critical API details for developers.

Instructions

Search Prisma Cloud API documentation

Input Schema

NameRequiredDescriptionDefault
queryYes

Input Schema (JSON Schema)

{ "properties": { "query": { "title": "Query", "type": "string" } }, "required": [ "query" ], "title": "search_prisma_api_docsArguments", "type": "object" }

Implementation Reference

  • The main handler function for the 'search_prisma_api_docs' MCP tool. It is registered with @mcp.tool(), defines the input schema (query: str) and output (str JSON), and delegates to the DocumentationIndexer.search_docs method for the 'prisma_api' site.
    @mcp.tool() async def search_prisma_api_docs(query: str) -> str: """Search Prisma Cloud API documentation""" results = await indexer.search_docs(query, site='prisma_api') return json.dumps(results, indent=2)
  • Core helper method implementing the search logic: filters by site, computes relevance scores based on title/content matches and word matches, extracts snippets, sorts results by score, limits to top 10.
    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]
  • Dataclass used to store indexed documentation pages with metadata, content, 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
  • server.py:197-201 (registration)
    Alternative registration of the tool in server.py (duplicate implementation).
    @mcp.tool() async def search_prisma_api_docs(query: str) -> str: """Search Prisma Cloud API documentation""" results = await indexer.search_docs(query, site='prisma_api') return json.dumps(results, indent=2)
  • Duplicate handler function in server.py.
    async def search_prisma_api_docs(query: str) -> str: """Search Prisma Cloud API documentation""" results = await indexer.search_docs(query, site='prisma_api') return json.dumps(results, indent=2)

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/clarkemn/prisma-cloud-docs-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server