Connect crewAI to live SQL Server data, securely.
CData Connect AI lets you plug any business application into any AI tool — like SQL Server into crewAI — for live, trusted answers and actions with zero data copies.
Give SQL Server rich semantic context and real-time data from crewAI so it can answer precisely and take safe, effective actions across your business.
SQL Server:
Microsoft SQL Server is a powerful relational database management system designed for storing and retrieving data. It offers advanced features such as data encryption, in-memory processing, and business intelligence tools. With support for multiple programming languages and integration with other Microsoft products, SQL Server is a versatile and reliable database solution.
crewAI:
crewAI is a multi-agent agent framework for building “crews” of specialized agents that collaborate through Agents, Tasks, Tools, and Processes (sequential or hierarchical), orchestrated via Flows. With Connect AI, your crews can work with live, governed business data from across your stack—without brittle scripts, reverse-ETL, or manual exports.
Popular crewAI & SQL Server integration use cases
- Multi-agent workflows with shared context — Equip crews with live SQL Server data so manager agents can plan and delegate tasks while worker agents execute and validate results.
- Decision and approval flows — Have crews analyze, summarize, and approve or reject items based on up-to-date SQL Server data.
- Cross-system orchestration — Let crews coordinate actions across multiple tools while grounding decisions in governed SQL Server data.
- Auditable multi-step execution — Expose only approved read/write operations on SQL Server to crewAI agents with full RBAC, masking, and logging for every task and tool call.
Learn more about CData Connect AI
SQL Server to crewAI Features
Real-time data accessed in-place
Access data where it lives right now. Ensure data is always live, always retains its metadata and semantics, and always protected by source system permissions.
Semantic intelligence & preserved context
Expose your data's metadata, relationships, and context so AI has real understanding of your business without recreating it on top of a warehouse.
One connection to both explore and take action
Point-and-click connection setup that works for both queries and actions so you can set up integrations in minutes.
Enterprise security and governance
Pass through and edit role-based access control (RBAC) inherited from the source to users in AI and AI agents.
How It Works: Model Context Protocol (MCP)
Connect AI is first managed Model Context Protocol (MCP) platform for AI integration. Model Context Protocol (MCP) is an open standard for connecting AI assistants, agents, and automations to external tools and data.
With Connect AI's managed MCP platform, you can present your enterprise systems as standardized MCP tools and resources and call them directly from AI.
Instead of building and maintaining dozens of one-off MCP Servers, your AI simply calls one universal MCP URL from Connect AI, and gets governed access to live data from across your enterprise stack.
Getting Started is Easy:
- Configure data sources (Salesforce, NetSuite, Workday, SQL, Jira, etc.) in Connect AI.
- Create a 'Remote MCP' URL.
- Connect crewAI to your business data.
Get Started for FREE
Access live SQL Server data in other popular AI tools
No complicated data movement, ETL, or data integration required. Securely connect live SQL Server data with any AI tool that supports MCP. Select your preferred tool below to learn more.
