According to @rseroter, the open source MCP Toolbox for Databases now enables semantic search inside AI agents by intercepting tool calls, generating an embedding from the query, and passing the numerical vector to the database in one seamless flow, source: @rseroter. This creates an end to end path from agent tool invocation to database ready vectors, simplifying how developers wire semantic retrieval into agent workflows, source: @rseroter. The announcement points to a detailed Google Cloud Medium article on building semantic search into AI agents for implementation guidance, source: @rseroter.