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    Enables document processing with Suparse API, extracting structured data from documents into JSON, CSV, XLSX, or Google Sheets, and supports processing single files or folders.
    6
    30
    MIT
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    quality
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    Enables AI assistants to analyze hardware simulation VCD waveforms and GTKWave save files, providing access to signal values, bus definitions, and groupings without loading entire files.
    5
    MIT
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    A Model Context Protocol (MCP) server that enables AI agent access to Synapse entities such as Datasets, Projects, Folders, Files, Tables, and more.
    3
    MIT
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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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    Converts Quantum ESPRESSO output files to structured JSON and serves them via an HTTP API for use with MCP clients.
    MIT
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    Enables musical analysis of MIDI and musicXML files using music21, providing tools for key detection, harmony, melody, rhythm, form analysis, counterpoint checking, and motif extraction.
    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
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    Enables querying OpenDRIVE road network files through structured MCP tools for summarizing maps, listing roads and lanes, converting coordinates, and validating files.
    Apache 2.0
  • F
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    Enables to read and modify OpenFOAM configuration files, including case info, dictionary files, and boundary conditions, with additional tools for thermal and buoyancy simulations.
    3
  • F
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    Enables governed analytics and research on land development optionality, infrastructure proximity, and stewardship via MCP tools that provide transparent screening heuristics and reproducible evidence.
  • F
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    Enables reading and understanding NetCDF files, providing tools to inspect structure, variables, metadata, and data quality for scientific datasets.
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    An MCP server that enables the analysis of CSV and Parquet files by providing tools for statistical summaries, data previews, and structure exploration. It allows users to query local datasets and create sample data using natural language.