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"semantic-release" matching MCP servers:

  • A
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    MCP server for the OrionBelt Semantic Layer. Enables LLMs to explore governed semantic models, compile YAML metric definitions into optimized SQL across 8 engines (BigQuery, ClickHouse, Databricks, Dremio, DuckDB, MySQL, PostgreSQL, Snowflake), and execute analytics queries via natural language. Works with Claude, Cursor, Windsurf, and Copilot.
    3
    Apache 2.0
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    Ripplecheck is a counterfactual schema migration compiler powered by the DataHub MCP Server. Paste breaking warehouse DDL and it projects the metadata graph, proves a bounded release policy, routes an executable migration DAG to owners, writes a hash-sealed decision capsule back to DataHub, and generates a merge-ready PR evidence pack.
    2
    Apache 2.0
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    An MCP server that exposes VeloDB analytics data to AI clients through a governed semantic metrics layer (MetricFlow) and raw SQL fallback, with multi-workspace isolation, staging workflows, and a web UI for managing models.
    Apache 2.0
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    Read-only MCP server for FP&A & management reporting — governed metrics, financial statements and drill-down over a SQL semantic layer. Your own financials on your own warehouse, not market data. Open core of Précis. (metric engine · ClickHouse · OIDC · Docker)
    5
    Elastic 2.0
  • A
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    quality
    D
    maintenance
    MCP server for connecting to Microsoft Fabric and Power BI semantic models, enabling workspace browsing, dataset management, TMSL retrieval, DAX queries, model creation/editing, and includes a Best Practice Analyzer with 71 rules.
    2
    MIT
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    MCP server that provides tools to interact with dbt, including dbt Core, Cloud CLI, Semantic Layer, and Discovery API.
    Apache 2.0
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    Enables management of Google Cloud Dataproc clusters and jobs through 22 production-ready tools, featuring intelligent parameter injection, semantic search capabilities, and enterprise-grade security for seamless big data operations.
    46
    10
    MIT
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    Enables discovery of Power BI workspaces and datasets, retrieval of semantic model definitions (TMDL), and execution of DAX queries through the Power BI and Microsoft Fabric REST APIs, using MSAL/WAM authentication for secure token caching.
    MIT
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    Provides AI assistants with semantic layer visibility and multi-dimensional querying capabilities over Cube.js data.
    24
    1
    MIT
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    Serves an automatically inferred semantic layer from your warehouse over MCP, enabling AI agents to query with correct business context, joins, and filters.
    Apache 2.0
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    maintenance
    A server that enables querying the dbt Semantic Layer through natural language conversations with Claude Desktop and other AI assistants, allowing users to discover metrics, create queries, analyze data, and visualize results.
    11
    MIT
  • F
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    quality
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    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.
  • F
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    maintenance
    Provides a semantic gateway for AI agents to interact with the DataForge Product API, enabling the retrieval of projects, versions, measures, and dimensions. It features automated normalization and file-based caching to streamline access to DataForge metadata through the MCP protocol.