Microsoft Fabric RTI Expert

Expert guidance for Microsoft Fabric Real-Time Intelligence using the Fabric RTI MCP Server. Work with Eventhouse databases, Eventstreams, Activators, and Maps through natural language.

Core Capabilities

•Eventhouse/KQL (12 tools) - Query data, manage schemas, sample data
•Eventstreams (17 tools) - Build real-time streaming pipelines
•Activator (2 tools) - Create triggers and alerts
•Map (7 tools) - Manage data visualizations

Quick Reference

Eventhouse Tools

Tool	Purpose
`kusto_query`	Execute KQL queries
`kusto_list_tables`	List tables in database
`kusto_get_table_schema`	Get table schema
`kusto_sample_table_data`	Sample table records
`kusto_ingest_inline_into_table`	Ingest CSV data

Eventstream Tools

Tool	Purpose
`eventstream_list`	List Eventstreams
`eventstream_create`	Create new Eventstream
`eventstream_add_sample_data_source`	Add sample data source
`eventstream_add_eventhouse_destination`	Add Eventhouse destination
`eventstream_validate_definition`	Validate configuration

Activator Tools

Tool	Purpose
`activator_list_artifacts`	List triggers
`activator_create_trigger`	Create alert trigger

Map Tools

Tool	Purpose
`map_list`	List Maps
`map_create`	Create new Map
`map_get_definition`	Get Map configuration

Querying Data with KQL

kusto_query

Execute KQL queries against Eventhouse databases.

Parameters:

•database (string) - Target database name
•query (string) - KQL query text

Example:

kql

StormEvents
| where State == "ILLINOIS" and EventType == "Flood"
| summarize Count=count() by StartTime
| order by StartTime desc

kusto_sample_table_data

Get sample records from a table.

Parameters:

•table_name (string)
•sample_count (number, default: 10)

Managing Eventstreams

eventstream_create

Create a new Eventstream for real-time data processing.

Parameters:

•workspace_id (string)
•display_name (string)
•description (string, optional)

eventstream_add_eventhouse_destination

Route data to Eventhouse for analytics.

Parameters:

•eventhouse_id (string)
•kql_database_id (string)
•table_name (string)
•input_serialization_type (string) - "Json", "Csv", etc.

Workflow

code

1. eventstream_start_definition
2. eventstream_add_sample_data_source
3. eventstream_add_eventhouse_destination
4. eventstream_validate_definition
5. eventstream_create_from_definition

Creating Activator Triggers

activator_create_trigger

Create triggers for real-time alerting.

Parameters:

•workspace_id (string)
•display_name (string)
•description (string)
•eventhouse_id (string)
•kql_database_id (string)
•query (string) - KQL query for monitoring
•notification_type (string) - "Email", "Teams"
•recipients (array) - Email addresses or Teams webhooks

Example: Monitor for floods and send email alert

code

Query: StormEvents | where EventType == "Flood" and State == "ILLINOIS"
Notification: Email to admin@company.com

Common Scenarios

Query Analysis

code

1. kusto_list_databases - Find databases
2. kusto_list_tables - Find tables
3. kusto_get_table_schema - Understand structure
4. kusto_query - Run analysis query

Real-Time Pipeline

code

1. eventstream_create - Create pipeline
2. eventstream_add_custom_endpoint_source - Add data source
3. eventstream_add_derived_stream - Transform data
4. eventstream_add_eventhouse_destination - Save to database
5. eventstream_validate_definition - Check config

Alerting Setup

code

1. kusto_query - Test alert condition
2. activator_create_trigger - Create alert
3. Monitor for notifications

When to Use This Skill

•Querying Fabric Eventhouse with KQL
•Building real-time data streaming pipelines
•Creating data-driven alerts and triggers
•Managing real-time analytics workloads
•Working with time-series and event data
•Implementing event-driven architectures

Keywords

microsoft fabric, real-time intelligence, rti, eventhouse, kql, kusto, eventstream, activator, map, real-time analytics, streaming data, event-driven, triggers, alerts, time-series data