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"Understanding Inference Models" matching MCP servers:

  • A
    license
    Not graded
    quality
    B
    maintenance
    Provides deterministic tools for understanding, transforming, and verifying structured data via MCP, enabling rule inference from examples and verification of transformed records.
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    An open-source MCP server that connects to various data sources (SQL databases, CSV, Parquet files), allowing AI models to execute SQL queries and generate data visualizations for analytics and business intelligence.
    12
    75
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    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
  • A
    license
    Not graded
    quality
    D
    maintenance
    Connects MCP clients to databases like Snowflake, BigQuery, and Databricks through Alkemi's data platform, enabling natural language database queries with proper schema understanding and metadata management for consistent team-wide access.
    12
    4
    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
    B
    maintenance
    Provides read-only access to MetaTrader 5 market data, trading history, and technical analysis through Python execution. Supports querying price data, calculating indicators, creating charts, and generating forecasts with Prophet and ML models.
    3
    MIT
  • A
    license
    Not graded
    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
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables language models to run data-quality checks and profiling on local files, using dbt-style assertions like not_null, unique, relationships, and accepted_values.
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    A Model Calling Protocol server that enables LLMs to perform rigorous Bayesian analysis and probabilistic reasoning, including inference, model comparison, and predictive modeling with uncertainty quantification.
    4
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables LLM clients to analyze and interact with Power BI (.pbix) files, providing access to data models, DAX measures, Power Query code, table relationships, and data contents through natural language.
    MIT
  • 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
  • F
    license
    Not graded
    quality
    C
    maintenance
    Read-only MCP server for Hevo Data API, enabling monitoring of pipelines, objects, destinations, models, and workflows with secure self-hosted credentials.
  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables analysis of datasets from CSV/Excel files, Google Sheets, and Google Drive with comprehensive data profiling tools including schema inference, missing value reports, correlation analysis, and outlier detection. Supports exporting analytical reports in multiple formats to local storage or Google Drive.
  • F
    license
    Not graded
    quality
    D
    maintenance
    A minimal, extensible MCP server to run dbt models via CLI, HTTP API, or AI interfaces like Claude, with Slack notifications for task completions.
    2