Overview
Features
MCP Protocol bridge
Exposes Fabric RTI capabilities as MCP tools for AI agents to orchestrate queries and workflows.
Natural Language to KQL
Translates natural language prompts into KQL queries and Eventstream configurations for RTI services.
Secure Azure Identity authentication
Uses DefaultAzureCredential to securely access Fabric RTI resources without manual token handling.
Real-time data access
Direct integration with Eventhouse and Eventstreams enabling live analytics and streaming analysis.
Unified analytics and streaming interface
Single MCP interface supports both analytics (Kusto) and streaming (Eventstreams) workloads with intelligent prompts.
Extensive Kusto tooling
12 Eventhouse tools and 17 Eventstreams tools (plus 2 Activator tools) for broad RTI capabilities.
Semantic search support
Optional Azure OpenAI embedding endpoint enables semantic search via kusto_get_shots.
HTTP mode and deployment support
Supports HTTP mode for local testing and provides remote deployment guidance.
Who Is This For?
- Data Scientists:Use MCP to query Kusto and analyze data with natural language prompts and embeddings.
- AI Engineers:Build NL-to-KQL workflows and RTI tooling for live data and streaming scenarios.
- BI Analysts:Query ADX/Eventhouse and monitor streams via MCP for analytics workflows.
- Fabric RTI Developers:Extend and integrate RTI workflows using the MCP server for customized solutions.
- DevOps:Configure secure access, token handling (Azure Identity), and HTTP deployment for testing and production.




