"Microsoft Azure Platform and Services" matching MCP servers:

Enables AI assistants to interact with Microsoft Fabric and Power BI services through the Model Context Protocol. Users can manage workspaces, execute DAX queries, refresh datasets, and create Fabric notebooks using natural language.

Enables interaction with Azure Table Storage directly through Cline. This tool allows you to query and manage data in Azure Storage Tables.

MCP server for managing Tailor Platform resources via tools like create, update, destroy, and search resources, as well as GraphQL queries.

An MCP server that exposes Azure Data Factory operations as tools any LLM can call — trigger pipelines, monitor runs, inspect datasets, and get factory health summaries through natural language.

Self-hosted MCP servers that let Claude, ChatGPT, or any MCP client answer questions about your own Google Maps data — where you were at a given moment, visits to specific places, dwell time, trips, distance traveled by mode, and your current position from a live feed. All tools are read-only and gated behind OAuth 2.1 tokens with configurable precision, so credentials and coordinates never leave your server.

Enables MCP hosts like ChatGPT and Claude to query data platform metadata, explore schemas and tables, inspect SQL explain plans, and monitor DAG and ETL status through standardized tools.

Exposes Azure Databricks Jobs tools (list, run, get output) with Entra ID authentication and OBO flow for per-user context.

A Python MCP server that lets you manage Microsoft Fabric through natural language in Claude Code or Claude Desktop, with 77+ tools covering workspaces, lakehouses, warehouses, SQL, DAX, semantic models, notebooks, pipelines, OneLake, and Microsoft Graph.

A read-only Model Context Protocol server for Microsoft Fabric, enabling natural language queries to workspaces, lakehouses, tables, jobs, and dependencies.

A Model Context Protocol server that lets you fetch Microsoft Clarity analytics data through Claude for Desktop or other MCP-compatible clients, with support for filtering by dimensions and retrieving various metrics.

Bootstrap MCP server for future data exploration and querying across multiple databases, currently only provides a hello_world tool with no actual data connectivity.

Exposes Microsoft Fabric operations as MCP tools, with 105 tools across 17 domains including lakehouses, warehouses, notebooks, pipelines, and real-time analytics, handling long-running operations and supporting multiple authentication modes.

Exposes a synthetic issue tracker and pipeline warehouse as callable tools so an agent can answer operational questions about tickets, pipeline health, runs, incidents, and governed metrics with every claim cited to the exact tool call it came from. All writes are proposal-only, requiring human approval through a gated apply path that logs each step for audit.

Enables AI to interact with Microsoft Access (.mdb, .accdb) and SQLite 3 databases, including read-only support for Access 97 databases. Supports executing SQL queries, importing/export data from CSV and Excel files, and storing notes about database files.

An AI-driven data visualization and SQL chat platform that enables natural language to SQL conversion, interactive chart generation, and database querying through a comprehensive MCP interface. Supports multiple databases, intelligent chart recommendations, and secure data management with temporary link sharing.

A Node.js server that provides a comprehensive API interface for Adobe Experience Platform (AEP) integration. It enables users to manage schemas, datasets, segments, and profiles while supporting data ingestion and query services.

Enables agentic LLMs to interact with the Rapid Platform API, supporting list operations, CRUD items, and webhook creation.

Provides AI assistants with access to Lumenore's analytics capabilities, enabling natural language queries for data insights, advanced analytics (trends, predictions, correlations, outliers), and real-time data processing with zero persistent storage.

MCP server with 32 tools for ETL ingestion, AI-generated data quality rules, AI transformations, vector search, and natural-language SQL. Works across Postgres, MongoDB, Kafka, S3/MinIO, HashiCorp Vault, and five vector stores (Qdrant, Weaviate, Milvus, Chroma, pgvector).

This server facilitates scalable discovery and execution of OpenAPI endpoints using semantic search and high-performance processing, overcoming limitations of large spec handling for streamlined API interactions.