The new toolset, though, can only be implemented in combination with Google’s Agent Development Kit and MCP Toolbox for Databases. Google has come out with a new toolset that will allow enterprises to ...

Google LLC today introduced managed MCP servers that will enable artificial intelligence agents to interact with four of its cloud services. Until recently, giving AI agents access to an application ...

AI agents are being sold as the solution for planning trips, answering business questions, and solving problems of all kinds, but getting them to work with tools and data outside their chat interfaces ...

Connecting AI agents to your enterprise data can be a very daunting experience. Sometimes, it might require complex custom integrations or weeks of development. But this can now be done much more ...

Google has taken a major step toward making its cloud ecosystem fully ready for autonomous AI agents. The company has rolled out official support for the Model Context Protocol across key services, ...

Model Context Protocol (MCP) has gained considerable momentum as a standard connector between LLM-powered tools and local systems, internal and external APIs, and data sources. From major clouds to ...

Google now supports MCP and offers managed servers for Maps, BigQuery, and other services. This allows developers to connect AI agents more easily. MCP is an open protocol developed by Anthropic that ...

Google Cloud has announced fully-managed remote Model Context Protocol (MCP) servers, enhancing its existing API infrastructure to support MCP and providing a unified layer across all Google and ...