Skip to main content
Glama
peterbedorjr

orca-copilot-mcp

by peterbedorjr

Related Servers

Alternatives to orca-copilot-mcp

No user-submitted related servers found.

    Related Servers

    • F
      license
      A
      quality
      C
      maintenance
      Integrates Bambu Studio and Bambu Lab 3D printers with Claude, enabling printer status checks, print control, file management, and slicing via natural language.
      9
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables users to connect Claude with various 3D printer management systems, allowing tasks like printer status monitoring, file management, print job control, and STL file manipulation.
      87 npm
      GPL 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables Claude Code to see and drive Bambu Lab 3D printers over the local network via MQTT, providing status, file management, print control, filament, maintenance, and diagnosis without any cloud dependency.
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Enables Claude to create, edit, run, and manage reusable skills stored locally, including executing scripts with automatic dependency management and environment variables. Works across all MCP-compatible clients like Cursor, Claude Desktop, and claude.ai.
      5
      30
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      MCP server that lets Claude drive a real, running OrcaSlicer: load models, arrange the plate, tune settings, slice, and read results back.
      44
      430 PyPI
      55
      AGPL 3.0

    TDQS

    A3.7/5.0

    Scored across 14 tools

    Disambiguation4/5

    Most tools are clearly separated by resource and action: preset retrieval/editing, wiki search/read, settings find/describe, and plate describe/render. The only possible confusion is between get_preset and get_current_presets, and between search_wiki and read_wiki, though their descriptions do disambiguate them.

    Naming Consistency4/5

    The majority follow a consistent snake_case verb_noun pattern (list_presets, get_preset, set_preset_values, describe_setting, read_wiki). remember, forget, and preflight deviate from that pattern, making the naming mostly but not perfectly consistent.

    Tool Count5/5

    Fourteen tools is within the ideal 3-15 range and each tool covers a distinct facet: memory, presets, settings lookup, plate inspection, and wiki reference. The size feels appropriate for an OrcaSlicer copilot rather than padded or insufficient.

    Completeness2/5

    The set has significant gaps: descriptions explicitly defer to absent tools such as get_selection, measure_slice, and suggest_settings, so agents will hit dead ends when trying to identify the current plate/object, measure geometry, or get recommended settings. There is also no tool to delete a cloned/edited preset, leaving the preset lifecycle incomplete.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues