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  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents to query Microsoft Copilot Studio telemetry and governance data in plain English, pulling from multiple Azure and M365 APIs into a local SQLite database.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables any MCP client to run a complete data-science pipeline on a CSV: exploration, cleaning, model comparison, training, tuning, and plain-language analysis. Exposes nine tools that turn raw data into trained models and reports.
    1
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    A production-ready MCP server that provides comprehensive dbt project quality assessment for any GitHub repository, enabling AI agents to analyze dbt models, check metadata coverage, and map data lineage.
    9
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    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
  • A
    license
    Not graded
    quality
    A
    maintenance
    Provides a secure, policy-driven read-only gateway that exposes multiple databases to AI tools via MCP, with governed select, search, and aggregate operations and no free-form SQL.
    Apache 2.0
  • A
    license
    Not graded
    quality
    A
    maintenance
    A unified backend MCP server that aggregates and filters data from external services like Zaim, GitHub, Google, and Notion, providing cross-cutting views via MCP and REST API without heavy AI inference.
    3
    Apache 2.0
  • A
    license
    Not graded
    quality
    D
    maintenance
    An MCP server that gives AI assistants the ability to connect to, query, profile, and monitor data sources — turning any LLM into an interactive data engineering copilot.
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    A conversational copilot that guides users through the Knowledge Discovery in Databases (KDD) process to perform automated data profiling, analysis, and modeling via natural language. It enables the creation of interactive dashboards and manages the end-to-end analytical workflow within a secure sandbox environment.