fabric-rti-mcp MCP Server
microsoft/fabric-rti-mcp
[](https://agentrank-ai.com/tool/microsoft--fabric-rti-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) MCP server for Fabric Real-Time Intelligence (https://aka.ms/fabricrti) supporting tools for Eventhouse (https://aka.ms/eventhouse), Azure Data Explorer (https://aka.ms/adx, and other RTI services (coming soon)
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
microsoft/fabric-rti-mcp is a Python MCP server licensed under MIT. MCP server for Fabric Real-Time Intelligence (https://aka.ms/fabricrti) supporting tools for Eventhouse (https://aka.ms/eventhouse), Azure Data Explorer (https://aka.ms/adx, and other RTI services (coming soon)
Ranked #1597 out of 24846 indexed tools.
In the top 7% of all indexed tools.
Has 24 contributors.
Ecosystem
Score Breakdown
131 stars → growing community
Last commit 16d ago → recently updated
28/46 issues closed → decent issue management
24 contributors → active community
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
## 🎯 Overview A comprehensive Model Context Protocol (MCP) server implementation for [Microsoft Fabric Real-Time Intelligence (RTI)](https://aka.ms/fabricrti). This server enables AI agents to interact with Fabric RTI services by providing tools through the MCP interface, allowing for seamless data querying, analysis, and streaming capabilities. > [!NOTE] > This project is in Public Preview and implementation may significantly change prior to General Availability. ### 🔍 How It Works The Fabric RTI MCP Server acts as a bridge between AI agents and Microsoft Fabric RTI services: - 🔄 **MCP Protocol**: Uses the Model Context Protocol to expose Fabric RTI capabilities as tools - 🏗️ **Natural Language to KQL**: AI agents can translate natural language requests into KQL queries and Eventstream management - 💡 **Secure Authentication**: Leverages Azure Identity for seamless, secure access to your resources - ⚡ **Real-time Data Access**: Direct connection to Eventhouse and EventstreaRead full README on GitHub →
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