Open-source platform with 30+ MCP tools lets AI agents autonomously create pipelines, query databases, search vector ...

Overview On March 11, NSFOCUS CERT detected that Microsoft released the March Security Update patch, which fixed 83 security issues involving widely used products such as Windows, Microsoft Office, ...

The Database Hub provides a single, centralized management hub for Azure SQL, Cosmos DB, PostgreSQL, and more. SQL databases in Fabric now include a ...

Microsoft has made Fabric IQ's business ontology accessible via MCP to any AI agent from any vendor, targeting the core ...

Microsoft has launched a database management tool it promises will help users manage multiple databases sharing a single SQL engine. With the vendor's Fabric data platform, Database Hub promises a ...

This week, we are excited to kick off SQLCon 2026 alongside FabCon in Atlanta. Bringing these SQL and Fabric communities together creates a unique opportunity to learn, connect, and share what’s next ...

LILT MCP enables employees to request human-verified and instant translations within their standard chat interface. While AI provides instant drafts, mission-critical content—such as legal policies or ...

Until recently, if you wanted your AI agent to check flight prices or look up a database, you had to write a custom tool. When Anthropic released the Model Context Protocol (MCP), it created a ...

SQL Server backups cannot be restored to older versions directly. Use Export and Import Data-Tier Application for cross-version database migration. Reconfigure permissions, logins, and connection ...

Artificial-intelligence agents have their own social-media platform and are publishing AI-generated research papers on their own preprint server. The sudden rise of a huge network of ...

agent-farm/ ├── src/agent_farm/ # Main Python package │ ├── main.py # Entry point, MCP server initialization │ ├── spec_engine.py # Spec Engine class (central component) │ ├── orgs.py # Organization ...

Abstract: The in-context learning capability of Large Language Models has achieved significant success in text-to-SQL task. Most existed approaches generally adopt a straightforward three-stage ...