Connect crewAI to live Azure Analysis Services data, securely.
CData Connect AI lets you plug any business application into any AI tool — like Azure Analysis Services into crewAI — for live, trusted answers and actions with zero data copies.
Give Azure Analysis Services rich semantic context and real-time data from crewAI so it can answer precisely and take safe, effective actions across your business.
Azure Analysis Services:
Azure Analysis Services is a fully managed platform as a service (PaaS) that provides enterprise-grade data modeling and analytics capabilities. It allows users to create, deploy, and manage tabular data models for interactive data analysis and reporting. Azure Analysis Services integrates with various data sources and BI tools, enabling organizations to derive insights from their data efficiently.
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 & Azure Analysis Services integration use cases
- Multi-agent workflows with shared context — Equip crews with live Azure Analysis Services 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 Azure Analysis Services data.
- Cross-system orchestration — Let crews coordinate actions across multiple tools while grounding decisions in governed Azure Analysis Services data.
- Auditable multi-step execution — Expose only approved read/write operations on Azure Analysis Services to crewAI agents with full RBAC, masking, and logging for every task and tool call.
Learn more about CData Connect AI
Azure Analysis Services 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 Azure Analysis Services data in other popular AI tools
No complicated data movement, ETL, or data integration required. Securely connect live Azure Analysis Services data with any AI tool that supports MCP. Select your preferred tool below to learn more.
