Connect gumloop to live Azure DevOps data, securely.
CData Connect AI lets you plug any business application into any AI tool — like Azure DevOps into gumloop — for live, trusted answers and actions with zero data copies.
Give Azure DevOps rich semantic context and real-time data from gumloop so it can answer precisely and take safe, effective actions across your business.
Azure DevOps:
Azure DevOps is a comprehensive set of cloud-based collaboration tools for software development teams. It encompasses various services, including version control, continuous integration, continuous delivery, agile planning, and project management. Azure DevOps enables teams to streamline their development processes, automate workflows, and deliver high-quality software faster and more efficiently.
gumloop:
Gumloop is an AI automation platform for building, running, and scheduling multi-step workflows and agents that combine LLMs with APIs, web data, and files. With Connect AI, you can give Gumloop agents real-time, governed data from across your business systems—without reverse-ETL jobs, brittle custom connectors, or manual exports.
Popular gumloop & Azure DevOps integration use cases
- Scheduled data enrichment agents — Enrich leads, tickets, or assets daily using Gumloop agents powered by current data from Azure DevOps.
- Automated quality and compliance checks — Run periodic validation workflows that use AI to flag anomalies or gaps against Azure DevOps records.
- Multi-step content generation — Build reusable flows that pull live Azure DevOps data and generate tailored reports, briefs, or outreach campaigns.
- Real-time decision automation — Orchestrate multi-tool agents that query Azure DevOps before taking actions in downstream systems—always with governed, up-to-date context.
Learn more about CData Connect AI
Azure DevOps to gumloop 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 gumloop to your business data.
Get Started for FREE
Access live Azure DevOps data in other popular AI tools
No complicated data movement, ETL, or data integration required. Securely connect live Azure DevOps data with any AI tool that supports MCP. Select your preferred tool below to learn more.
