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    An experimental multimodal AI data infrastructure that allows users to manage tables, run local AI analysis like object detection, and automate data workflows. It includes an interactive Python REPL and introspection tools for exploring Pixeltable functions directly through Claude or Cursor.
    6
    Apache 2.0
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    MCP server for BIM-to-building-energy simulation workflows with IFC extraction, TEASER integration, scenario modeling, weather binding, and results export for downstream WAT/ROI analysis.
    MIT
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    An MCP proxy server that intercepts large tabular tool results, ingests them into an embedded DuckDB, and provides a compact envelope with schema and query capabilities, enabling efficient cross-server data analysis.
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    MIT
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    Enables executing SQL queries, exploring database schemas, and exporting results from Redash via MCP, with ad-hoc queries and write protection.
    13
    MIT
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    Knowi’s MCP server gives AI tools full access to the entire analytics workflow. Knowi's 20+ specialized data agents automatically chain together to connect you datasources, write queries, build dashboards, and deliver reports.
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    Matches expected payments (pain.001) against observed booked entries (camt.053) for ISO 20022 cash reconciliation, providing explainable match results with scoring and classification.
    7
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    Apache 2.0
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    Connect Claude to your Power BI semantic models. Browse workspaces, tables, and measures, run DAX queries, and get results — with large datasets automatically saved to local CSV files to protect the LLM context window. Includes a query history log for cross-session reuse and auditability.
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    MIT
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    Enables AI assistants to interact with Hadoop Hue for executing SQL queries using Hive, SparkSQL, or Impala and managing HDFS files. It supports directory browsing, file transfers, and exporting query results to CSV through the Model Context Protocol.
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    MIT
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    MCP server for Formula 1 data via the FastF1 library. Ask Claude (or any MCP-compatible client) about race results, lap times, telemetry, standings, pit stops, and qualifying — with historical data back to 1950 via the Ergast API.
    21
    MIT
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    The geospatial toolkit for AI agents. 6 tools, zero config — give any LLM the ability to parse, convert, query, and aggregate spatial data out of the box. Or just make a bounding box :) Every response includes a verification link to vibhorsingh.com/boundingbox so you can visually confirm results on an interactive map.
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    MIT
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    Enables AI assistants to securely connect to Snowflake data warehouses and execute SQL queries through natural language interactions. Supports multiple authentication methods and provides formatted query results with built-in security controls.
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    Provides comprehensive Formula 1 data access including race schedules, session results, lap times, telemetry data, driver/constructor standings, and circuit information. Enables users to retrieve and analyze F1 racing data through natural language queries using the FastF1 Python package.
    5
    MIT
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    Enables interaction with Redash instances through a standardized interface, allowing users to execute SQL queries, manage data sources, and retrieve query results using natural language.
    4
    600
    MIT
  • F
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    Enables interaction with Redash through its API to execute SQL queries, retrieve results, and manage data sources. It allows users to query data and explore data sources directly through natural language interfaces.
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    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
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    MCP server that interfaces with the Adjust API, allowing you to query mobile analytics reports, metrics, and performance data using natural language from any MCP client like Cursor or Claude Desktop.
    2
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    MIT