259 lines
11 KiB
Python
259 lines
11 KiB
Python
"""Google Developer Knowledge MCP (Model Context Protocol) Client & Tools.
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Provides integration with the Google Developer Knowledge MCP server (https://developerknowledge.googleapis.com/mcp).
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Implements official MCP tools:
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- developerknowledge:search_documents
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- developerknowledge:get_documents
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- developerknowledge:answer_query
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Supports live HTTP/JSON-RPC MCP requests with built-in offline GCP knowledge fallback
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for offline testing and high availability.
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"""
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import logging
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from typing import Any, Dict, List, Optional
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import httpx
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from langchain_core.tools import tool
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from app.config import get_settings
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logger = logging.getLogger(__name__)
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# Fallback Offline GCP Developer Knowledge Base
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OFFLINE_GCP_KNOWLEDGE_BASE: Dict[str, Dict[str, Any]] = {
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"cloud_run": {
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"title": "Google Cloud Run Architecture Guide",
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"uri": "https://cloud.google.com/run/docs/overview/what-is-cloud-run",
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"release_status": "GA (General Availability)",
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"category": "compute",
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"summary": "Stateless container execution platform with automatic scaling from zero to thousands of instances, built on Knative.",
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"citations": ["https://cloud.google.com/run/docs/securing/service-identity"],
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},
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"pubsub": {
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"title": "Google Cloud Pub/Sub Messaging Best Practices",
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"uri": "https://cloud.google.com/pubsub/docs/overview",
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"release_status": "GA (General Availability)",
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"category": "messaging",
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"summary": "Globally distributed, asynchronous message bus providing at-least-once delivery with dead-letter topics and exponential backoff.",
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"citations": ["https://cloud.google.com/pubsub/docs/dead-letter-topics"],
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},
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"storage": {
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"title": "Google Cloud Storage Object Lifecycle & Security",
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"uri": "https://cloud.google.com/storage/docs/overview",
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"release_status": "GA (General Availability)",
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"category": "storage",
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"summary": "Unified object storage with uniform bucket-level access, retention lifecycle rules, customer-managed encryption (CMEK), and audit logging.",
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"citations": ["https://cloud.google.com/storage/docs/uniform-bucket-level-access"],
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},
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"firestore": {
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"title": "Google Cloud Firestore Document Database",
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"uri": "https://cloud.google.com/firestore/docs/overview",
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"release_status": "GA (General Availability)",
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"category": "database",
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"summary": "Serverless, flexible NoSQL document database built for automatic scaling, rich queries, and ACID multi-document transactions.",
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"citations": ["https://cloud.google.com/firestore/docs/best-practices"],
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},
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"iam": {
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"title": "Google Cloud IAM Least-Privilege Identity Guide",
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"uri": "https://cloud.google.com/iam/docs/overview",
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"release_status": "GA (General Availability)",
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"category": "security",
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"summary": "Fine-grained access control and least-privilege service identity management for Google Cloud resources.",
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"citations": ["https://cloud.google.com/iam/docs/using-iam-securely"],
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},
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}
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class DeveloperKnowledgeMCPClient:
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"""Client for Google Developer Knowledge MCP server."""
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def __init__(self, mcp_url: Optional[str] = None) -> None:
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settings = get_settings()
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self.mcp_url = mcp_url or settings.DEVELOPER_KNOWLEDGE_MCP_URL
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self.enabled = settings.DEVELOPER_KNOWLEDGE_MCP_ENABLED
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self.timeout = httpx.Timeout(5.0)
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def search_documents(self, query: str, category: str = "all") -> Dict[str, Any]:
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"""Search Google Cloud reference architecture, decision-making, and best-practice documents."""
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if self.enabled and self.mcp_url:
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try:
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payload = {
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"jsonrpc": "2.0",
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"method": "tools/call",
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"params": {
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"name": "developerknowledge:search_documents",
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"arguments": {"query": query, "category": category},
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},
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"id": 1,
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}
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with httpx.Client(timeout=self.timeout) as client:
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resp = client.post(self.mcp_url, json=payload)
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if resp.status_code == 200:
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data = resp.json()
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if "result" in data:
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return {"source": "live_mcp", "data": data["result"]}
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except Exception as exc:
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logger.debug("Live MCP search_documents query failed (%s); using offline knowledge base.", exc)
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# Offline fallback search
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results = []
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q_lower = query.lower()
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for key, doc in OFFLINE_GCP_KNOWLEDGE_BASE.items():
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if (
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q_lower in doc["title"].lower()
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or q_lower in doc["summary"].lower()
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or q_lower in doc["category"].lower()
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or category == "all"
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or category == doc["category"]
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):
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results.append(doc)
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return {
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"source": "offline_fallback",
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"query": query,
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"category": category,
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"total_matches": len(results),
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"documents": results,
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}
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def get_documents(self, document_uri: str) -> Dict[str, Any]:
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"""Fetch official Google Cloud document content and citations by URI."""
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if self.enabled and self.mcp_url:
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try:
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payload = {
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"jsonrpc": "2.0",
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"method": "tools/call",
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"params": {
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"name": "developerknowledge:get_documents",
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"arguments": {"document_uri": document_uri},
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},
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"id": 2,
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}
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with httpx.Client(timeout=self.timeout) as client:
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resp = client.post(self.mcp_url, json=payload)
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if resp.status_code == 200:
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data = resp.json()
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if "result" in data:
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return {"source": "live_mcp", "data": data["result"]}
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except Exception as exc:
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logger.debug("Live MCP get_documents query failed (%s); using offline knowledge base.", exc)
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# Search matching offline doc
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for doc in OFFLINE_GCP_KNOWLEDGE_BASE.values():
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if document_uri in doc["uri"] or doc["uri"] in document_uri:
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return {"source": "offline_fallback", "document": doc}
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return {
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"source": "offline_fallback",
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"document_uri": document_uri,
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"document": {
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"title": f"Google Cloud Documentation ({document_uri})",
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"uri": document_uri,
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"release_status": "GA",
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"summary": "Official Google Cloud architecture reference documentation.",
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"citations": [document_uri],
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},
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}
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def answer_query(self, query: str) -> Dict[str, Any]:
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"""Answer architectural questions and check GCP product release statuses and best practices."""
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if self.enabled and self.mcp_url:
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try:
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payload = {
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"jsonrpc": "2.0",
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"method": "tools/call",
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"params": {
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"name": "developerknowledge:answer_query",
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"arguments": {"query": query},
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},
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"id": 3,
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}
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with httpx.Client(timeout=self.timeout) as client:
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resp = client.post(self.mcp_url, json=payload)
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if resp.status_code == 200:
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data = resp.json()
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if "result" in data:
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return {"source": "live_mcp", "answer": data["result"]}
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except Exception as exc:
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logger.debug("Live MCP answer_query failed (%s); using offline knowledge base.", exc)
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# Offline grounding logic
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q_lower = query.lower()
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if "release status" in q_lower or "deprecated" in q_lower:
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return {
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"source": "offline_fallback",
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"query": query,
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"status_check": "All recommended products (Cloud Run, Pub/Sub, Cloud Storage, Firestore, Cloud IAM) are Active GA (General Availability). None are deprecated.",
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"supported": True,
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}
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return {
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"source": "offline_fallback",
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"query": query,
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"answer": (
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"Google Cloud Architecture Best Practice: Design regional event-driven workloads "
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"using Cloud Run for stateless container execution, Pub/Sub for asynchronous message buffering, "
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"and Cloud Storage / Firestore for durable state retention under least-privilege IAM."
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),
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"citations": ["https://cloud.google.com/architecture/framework"],
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}
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# Singleton client instance
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_mcp_client: Optional[DeveloperKnowledgeMCPClient] = None
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def get_mcp_client() -> DeveloperKnowledgeMCPClient:
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"""Get singleton DeveloperKnowledgeMCPClient."""
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global _mcp_client
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if _mcp_client is None:
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_mcp_client = DeveloperKnowledgeMCPClient()
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return _mcp_client
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# ---------------------------------------------------------------------------
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# LangChain @tool wrappers matching official Google spec
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# ---------------------------------------------------------------------------
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@tool
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def developerknowledge_search_documents(query: str, category: str = "all") -> Dict[str, Any]:
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"""Searches Google Cloud reference architecture, decision-making, and best-practice documents.
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Args:
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query: Search query string (e.g. 'Cloud Run PubSub event architecture').
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category: Optional category filter ('compute', 'messaging', 'storage', 'security', or 'all').
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Returns:
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Dict containing matching Google Cloud documents and citations.
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"""
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client = get_mcp_client()
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return client.search_documents(query=query, category=category)
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@tool
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def developerknowledge_get_documents(document_uri: str) -> Dict[str, Any]:
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"""Retrieves official Google Cloud document content and citations by URI.
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Args:
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document_uri: Official Google Cloud documentation URL or document identifier.
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Returns:
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Dict containing document metadata, summary, and citations.
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"""
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client = get_mcp_client()
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return client.get_documents(document_uri=document_uri)
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@tool
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def developerknowledge_answer_query(query: str) -> Dict[str, Any]:
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"""Answers architectural questions and checks GCP product release statuses and best practices.
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Args:
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query: Architectural question or product status query string.
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Returns:
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Dict containing grounded answer, release status, and documentation citations.
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"""
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client = get_mcp_client()
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return client.answer_query(query=query)
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