Skip to main content
Glama

Related Servers

Alternatives to openbci-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      C
      maintenance
      A Model Context Protocol server that provides AI agents with a unified interface for real-time EEG acquisition, replay, processing, visualization, recording, and stimulation from over 66 BrainFlow boards.
      47
      2
      BSD 3-Clause
    • A
      license
      Not graded
      quality
      C
      maintenance
      An MCP server that gives AI agents a unified interface to clinical/research EEG workflows: signal processing, source imaging, persistent dataset/EHR storage, and web visualization.
      84 PyPI
      1
      BSD 3-Clause
    • A
      license
      B
      quality
      C
      maintenance
      An MCP server that gives AI assistants conversational access to MNE-Python for analyzing neurophysiology data (EEG, MEG, sEEG, ECoG, fNIRS). Enables plain-language analysis pipelines, from loading recordings to generating figures and explanations.
      41
      73 PyPI
      10
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      A Model Context Protocol (MCP) server for seamless integration with peripheral devices connected to your computer. Control, monitor, and manage hardware devices through a unified API.
      5
      MIT

    TDQS

    A3.7/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool targets a distinct aspect of OpenBCI operation: board management, streaming, signal analysis, export, triggers, help, and high-level workflow orchestration. No two tools have overlapping primary purposes.

    Naming Consistency4/5

    Most tools follow the pattern 'openbci_<function>', all lowercase with underscores. However, 'agentic_openbci_workflow' deviates with the prefix 'agentic', and 'openbci_help' is a noun instead of a verb, slightly breaking consistency.

    Tool Count5/5

    With 7 tools, the server covers the essential functions for BCI data acquisition and processing without being bloated. Each tool has a clear role, and the count feels well-scoped for the domain.

    Completeness4/5

    The core workflow (connect, stream, analyze, export, trigger) is fully covered. Minor gaps exist, such as lacking advanced signal processing (e.g., artifact removal, epoch extraction) and hardware configuration details, but the set is sufficient for typical use cases.

    Maintenance

    ActivityActive
    ResponsivenessSlow