Skip to main content
Glama
72,370 servers. Updated

Matching MCP tools:

Matching MCP Connectors:

"Microsoft Azure Platform and Services" matching MCP servers:

  • A
    license
    B
    quality
    D
    maintenance
    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.
    6
    14
    2
    MIT
  • A
    license
    -
    quality
    B
    maintenance
    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.
    MIT
  • F
    license
    -
    quality
    D
    maintenance
    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
    license
    A
    quality
    F
    maintenance
    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.
    3
    6,803
    102
    MIT
  • F
    license
    B
    quality
    B
    maintenance
    Bootstrap MCP server for future data exploration and querying across multiple databases, currently only provides a hello_world tool with no actual data connectivity.
    29
  • F
    license
    B
    quality
    C
    maintenance
    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.
    100
  • A
    license
    -
    quality
    D
    maintenance
    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.
    MIT
  • A
    license
    -
    quality
    D
    maintenance
    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.
    0
    ISC
  • A
    license
    -
    quality
    D
    maintenance
    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.
    MIT
  • A
    license
    -
    quality
    B
    maintenance
    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).
    12
    AGPL 3.0
  • A
    license
    -
    quality
    C
    maintenance
    Exposes local DuckDB pizza sales data as MCP tools for querying store-level and total sales metrics via natural language, enabling local LLMs to perform real-time analytical queries.
    MIT
  • F
    license
    -
    quality
    D
    maintenance
    Provides stock market data and computes technical indicators like EMA, MACD, and RSI across multiple timeframes using the LongPort API and TA-Lib. It enables users to perform detailed financial analysis and multi-timeframe market reviews through standard MCP tools.
  • F
    license
    -
    quality
    D
    maintenance
    Enables schema-aware exploration of JSON data by uploading samples, flattening nested structures, and using heuristic search with token overlap and fuzzy matching to find field paths for target names, accelerating ETL and API onboarding workflows.