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Alternatives to Kanysh Basic

No user-submitted related servers found.

    Related Servers

    • A
      license
      B
      quality
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      MCP server that gives LLMs access to petroleum engineering data and tools. Parse well logs, query production data, fit decline curves, calculate EUR, and run nodal analysis -- all through natural language with any MCP-compatible AI assistant.
      83
      1
      MIT
    • A
      license
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      quality
      D
      maintenance
      AI-powered access to OSDU subsurface data through natural language, enabling AI assistants to interact with the OSDU platform via conversational interfaces for search, schema management, records, and compliance.
      1
      Apache 2.0
    • A
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      quality
      D
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      Model Context Protocol (MCP) server that drives OpendTect headlessly for SEG‑Y import, 3D horizon auto‑tracking, ASCII export, and horizon‑agreement scoring.
      2
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    • A
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      quality
      C
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      Enables AI assistants to inspect .sim files and solver logs without a licence, search local STAR-CCM+ documentation and Java API references, and run checked Java macros against an open simulation session.
      GPL 3.0
    • A
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      quality
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      maintenance
      MCP server that gives LLMs access to 70 petroleum engineering tools for well logs, decline curves, PVT, drilling, economics, and more.
      2
      MIT
    • A
      license
      A
      quality
      B
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      Enables MCP clients to inspect and measure native B-rep geometry, create and edit CAD models, export results, and optionally review models or prepare print jobs locally.
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      MIT

    TDQS

    C2.2/5.0

    Scored across 73 tools

    Disambiguation2/5

    The set has many overlapping clusters: simulation_submit, simulation_deck_run, simulation_case_create, simulation_validate, simulation_results, simulation_compare, and simulation_snapshot are hard to distinguish without reading deep descriptions, and several import tools (dataset_import, dataset_import_snapshot, geodata_import, eclipse_import, grid_import, seismic_import, seismic_source_import) have blurred boundaries. Many tools also have descriptions that are just the tool name (properties_reference, fault_create, properties_assign, scenarios_run, seismic_generate), forcing the agent to guess.

    Naming Consistency3/5

    Most names are snake_case, but the convention mixes verb_noun (create, list, inspect, import), noun_verb (fault_create, properties_assign, volumetrics_calculate, seismic_generate), and bare nouns (diagnostics, start, properties_reference). It remains readable, but the inconsistent ordering and vague standalone names reduce predictability.

    Tool Count1/5

    At 73 tools, the surface is far beyond a well-scoped set and includes many highly specialized operations plus multiple workflow/job/scene management tools. The breadth is excessive even for a broad reservoir-modeling platform, making discovery and correct selection difficult.

    Completeness4/5

    The surface covers import, QC, model building, property modeling, volumetrics, simulation, uncertainty, ensembles, export, visualization, and job/project management, so core domain workflows are broadly represented. Gaps are mostly lifecycle operations such as delete/update for projects, workflows, or artifacts, and some tools lack enough detail to assess their coverage.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues