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"Understanding SQL Server Schema and Querying" matching MCP servers:

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    Enables querying robot MCAP recordings with SQL via natural language, allowing topic listing, schema inspection, and cross-sensor correlation without a database.
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    GPL 3.0
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    Enables querying employment rates by sector (agriculture, industry, services) for a given country and year using World Bank API.
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    Enables safe exploration and analysis of SQLite databases through guarded read-only queries, schema inspection, aggregations, and CSV imports.
    5
    MIT
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    A read-only MCP server that enables querying available quantum computers and simulators from Tianyan Cloud, with tools to list running backends and retrieve detailed resource information.
    3
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    MCP server for querying the Japanese KAKEN database of scientific research grants, enabling search of projects and researchers via Claude.
    4
    MIT
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    Enables querying the Korea Citation Index (KCI) Open API to search reference lists, retrieve journal citation indices, and view citation detail history for Korean academic journals.
    5
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    CNN's Fear & Greed index for the US stock market: current score and rating, the seven component indicators, and about a year of daily history. Go standard library only, no API key required.
    2
    MIT
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    MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.
    27
    AGPL 3.0
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    A self-contained MCP server that gives AI agents the ability to calculate high-precision astronomical data. It provides tropical zodiac coordinates, planetary speeds, retrograde detection, and house cusps using the trusted Swiss Ephemeris engine. 100%
    4
    AGPL 3.0
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    A Model Context Protocol server that provides database interaction capabilities through SQLite, enabling users to run SQL queries, analyze business data, and automatically generate business insight memos.
    19
    MIT
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    Enables simulation and analysis of M/M/1 and M/M/c queuing systems using SimPy, with tools for parameter validation, theoretical metric calculation, simulation execution, and comparison of separate vs pooled queue strategies.
    MIT