#mcp
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Querying and Acting on Cloud Data with Data Agent Kit
The Data Agent Kit provides a unified framework of MCP servers, agent skills, and IDE integrations that allow AI agents to securely query, analyze, and modify data across BigQuery, Cloud SQL, and Cloud Storage.
Google Cloud TechWhy MCP Tasks Are Hard and How V2 Fixes Them
MCP tasks enable long-running, durable AI processes that survive crashes and network blips. V2 of the specification simplifies this by moving to a stateless core and replacing complex long-lived sessions with direct signaling.
AI EngineerClaude Code Changelog: Production Reliability and Agentic Control
Recent updates to Claude Code focus on hardening agentic workflows through improved background task management, granular permission controls, enhanced MCP reliability, and significant performance optimizations for terminal-based AI development.
Claude Code Changelog: System Reliability and Agentic UX
Recent updates to Claude Code focus on hardening background agent reliability, improving TUI responsiveness, and refining safety controls for autonomous operations.
Integrating Design Systems with AI via Model Context Protocol
By using the Model Context Protocol (MCP) to feed design system rules into AI agents, developers can ensure AI-generated code remains consistent, brand-compliant, and architecturally sound.
IBM TechnologyBuilding AI Agents with Looker and MCP
Learn how to ground AI agents in enterprise data by connecting them to Looker using the Agent Development Kit (ADK) and the Model Context Protocol (MCP).
Google Cloud TechBuilding a Policy-Driven Multi-Agent Inventory Pipeline
By using a deterministic YAML-based engine for policy and reserving LLM calls only for genuine judgment, you can build reliable AI-powered inventory systems that avoid non-determinism and minimize token bloat.
Building Multi-Agent Systems with Google Cloud and MCP
Automate project intake by using a multi-agent architecture that leverages Google ADK, MCP, and Cloud Run to perform real-time risk assessment and resource analysis.
Google Cloud TechAuthentication Platforms for AI Agents and MCP Servers in 2026
As AI agents move from chat to autonomous tool execution, authentication has become critical infrastructure. The industry has converged on OAuth 2.1 with PKCE as the standard for securing Model Context Protocol (MCP) servers, with specialized platforms emerging to handle identity, tool-level scoping, and multi-agent orchestration.
MCP vs. ADK: Connecting and Orchestrating AI Agents
MCP (Model Context Protocol) and ADK (Agent Development Kit) are complementary, not competing. MCP standardizes how agents connect to external data and tools, while ADK provides the framework for structuring agent logic, memory, and orchestration.
IBM TechnologyShowing 10 of 10