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Improvado's MCP server connects Microsoft Fabric to your AI agent. Query lakehouses, data warehouses, pipeline runs, semantic models, and OneLake data in plain English. Works with Claude, ChatGPT, Cursor, and any MCP-compatible tool.
Ask your AI agent about lakehouse tables, warehouse metrics, pipeline run status, or semantic model values — across workspaces and domains. The MCP server translates natural language into Fabric API and SQL endpoint calls.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Your AI agent doesn't just read Fabric data — it acts on it. Trigger pipeline refreshes, update workspace configurations, manage capacity assignments, and initiate data ingestion jobs through natural language commands.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Set up your AI agent to watch Microsoft Fabric continuously. Get alerts when pipelines fail, capacity consumption spikes, semantic model refreshes fall behind schedule, or OneLake data goes stale.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Your AI agent doesn't just read Fabric data — it acts on it. Trigger pipeline refreshes, update workspace configurations, manage capacity assignments, and initiate data ingestion jobs through natural language commands.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
Organizations running multiple Fabric workspaces — by department, region, or business unit — have no single view of pipeline health, data freshness, or capacity consumption. Getting a consolidated status means navigating each workspace separately or building a custom monitoring dashboard that nobody maintains.
Improvado normalizes Fabric metadata across all connected workspaces into one queryable layer. Ask the MCP server for cross-workspace pipeline status, capacity utilization, or data freshness — one question, all workspaces, one answer.
Data teams store marketing performance data in Fabric lakehouses and warehouses — but joining that data with live ad platform metrics to answer business questions requires either scheduled exports from ad platforms into Fabric, or custom pipelines that break regularly. The business never has a truly current view.
Improvado connects Fabric to 500+ marketing data sources in one normalized model. The MCP server lets the AI agent answer questions combining Fabric warehouse data with live Google Ads, Meta, LinkedIn, and other platform metrics — without intermediate pipelines.
Fabric capacity overruns cause query throttling and pipeline failures. Most teams only discover capacity pressure after something breaks — because monitoring CU consumption across workspaces and correlating it with job schedules requires custom queries and manual analysis that no one prioritizes.
Ask the MCP server for capacity consumption trends, peak usage patterns, and workloads approaching limits. The AI agent identifies which workspaces and jobs are consuming the most resources and suggests rebalancing — before overruns occur.
Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.
Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.
Microsoft has released MCP-compatible tooling for Fabric as part of its Copilot ecosystem, primarily for use within the Fabric portal. Improvado provides a hosted MCP server that connects Fabric data to any MCP-compatible AI tool — including Claude, ChatGPT, and Cursor — outside of Microsoft's native environment.
Lakehouse tables, data warehouse schemas and query results, pipeline run history and status, semantic model metadata and refresh history, workspace configurations, OneLake inventory, and capacity consumption metrics. Improvado normalizes the Fabric REST API and SQL analytics endpoints.
Yes. Improvado connects Microsoft Fabric to 500+ marketing and analytics data sources. The MCP server can answer questions that join Fabric warehouse data with live ad platform metrics, CRM data, or any other connected source — in one query.
Any tool supporting the Model Context Protocol: Claude Desktop, ChatGPT, Cursor, Windsurf, Gemini, and custom applications using the MCP HTTP transport. Improvado's server works outside of Microsoft's Copilot environment — giving teams flexibility in which AI tool they use.
Yes. Improvado is SOC 2 Type II certified. Azure OAuth credentials and service principal tokens are stored in an encrypted vault. All queries run through Improvado's secure proxy — credentials are never passed to the AI tool directly.
If Microsoft Fabric is already connected in Improvado, the MCP server is ready immediately. For Claude Desktop or Cursor, add one configuration line. For new accounts, Azure service principal authentication typically completes in under 20 minutes.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
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