AI Agent for Azure ADX MCP
Integrate Azure Data Explorer with Model Context Protocol (MCP) to empower your AI assistants with secure, standardized access to your data clusters. Automate KQL queries, explore resources, and manage table schemas with token-based authentication and containerized deployment, all within a seamless AI workflow.
Seamless KQL Query Automation
Empower your AI workflows to execute KQL queries directly on Azure Data Explorer using standardized MCP interfaces. List tables, explore schemas, and sample data efficiently—all authenticated using Azure credentials or workload identities for robust security.
- Execute KQL Queries.
- Run powerful KQL statements against Azure Data Explorer clusters for instant data insights.
- Table Discovery.
- List and navigate all tables within your target database, streamlining data exploration.
- Schema Inspection.
- Retrieve and review table schemas for precise data understanding and compliance.
- Sample Data Retrieval.
- Effortlessly fetch sample data from any table to validate and profile your datasets.
Flexible Authentication & Deployment
Leverage Azure CLI, MSI, and workload identity credentials for secure integration in both cloud-native and on-prem environments. Deploy rapidly using Docker or GitHub Codespaces for fast, scalable development and testing.
- Enterprise-Grade Security.
- Supports token, Azure CLI, MSI, and Workload Identity for secure access management.
- Containerized Deployment.
- Run in Docker or docker-compose for fast, isolated, and scalable deployments.
- Cloud & Local Flexibility.
- Deploy seamlessly in AKS, Codespaces, or local environments for maximum agility.
Interactive AI Tools & Extensibility
Configure and extend MCP tools to suit your data exploration needs. Integrate with platforms like Claude Desktop to enable conversational data access, and enjoy comprehensive test suites to ensure reliability and compliance.
- Configurable Toolset.
- Choose which MCP tools to enable, such as execute_query, list_tables, get_table_schema, and sample_table_data.
- Conversational AI Integration.
- Connect with platforms like Claude Desktop for natural language data querying.
- Comprehensive Testing.
- Robust test suites ensure reliability, accuracy, and easy maintenance for your data workflows.
MCP INTEGRATION
Available Azure Data Explorer MCP Integration Tools
The following tools are available as part of the Azure Data Explorer MCP integration:
- execute_query
Execute a KQL query against Azure Data Explorer to retrieve insights from your data.
- list_tables
List all tables in the configured Azure Data Explorer database for quick discovery.
- get_table_schema
Get the schema for a specific table, including column names and data types.
- sample_table_data
Retrieve a sample of data from a table with an optional sample size for data exploration.
Supercharge AI Data Access on Azure Data Explorer
Deploy the Azure Data Explorer MCP Server to enable seamless AI-powered KQL querying, schema discovery, and table exploration—securely and efficiently. Empower your AI assistants to interact with your data in real time.
What is adx-mcp-server
The adx-mcp-server is an open-source Model Context Protocol (MCP) server designed to bridge AI assistants and Azure Data Explorer databases. Developed by pab1it0, this server provides a standardized interface that allows AI-driven agents and applications to query, analyze, and manage Azure Data Explorer (ADX) resources efficiently. By leveraging the MCP protocol, adx-mcp-server simplifies the integration process, enabling seamless and secure interactions with ADX clusters, databases, and tables. This server empowers organizations to unlock advanced data exploration and analytics capabilities, utilizing natural language prompts and programmatic access to enhance productivity, data accessibility, and operational intelligence.
Capabilities
What we can do with adx-mcp-server
With adx-mcp-server, users and AI agents can leverage a variety of powerful features to interact with Azure Data Explorer databases. The service streamlines data operations through the MCP protocol, enabling efficient data exploration, management, and analytics tasks within the Azure ecosystem.
- Query ADX Databases
- Execute complex queries on Azure Data Explorer databases to retrieve actionable insights and analytics.
- Manage Clusters
- List, monitor, and administer Azure Data Explorer clusters, enhancing operational visibility.
- View and Organize Data
- Explore databases, tables, and schemas efficiently to structure and optimize data workflows.
- Integrate with AI Agents
- Connect AI-driven applications for automated data analysis and natural language-driven data exploration.
- Secure and Standardized Access
- Utilize a standardized protocol for secure, consistent, and scalable interactions with ADX resources.
How AI Agents Benefit from adx-mcp-server
AI agents gain significant advantages by utilizing adx-mcp-server, as it provides a streamlined, standardized interface to access and analyze large-scale data in Azure Data Explorer. This enables automated data-driven decision-making, natural language querying, and scalable analytics. By integrating with adx-mcp-server, AI agents can facilitate faster data exploration, automate routine data management tasks, and improve the accuracy and efficiency of insights delivered to users and organizations.