Skip to main content
Glama

Related Servers

Alternatives to ephys-mcp

No user-submitted related servers found.

    Related Servers

    • 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
      82 PyPI
      10
      MIT
    • F
      license
      B
      quality
      C
      maintenance
      Enables AI agents to build, validate, run, and analyze EEG/BCI pipelines, including uploading EEG data, inspecting datasets and files, running experiment campaigns, and managing live EEG streaming sessions.
      32
      1,659 PyPI
      2
      -
    • A
      license
      A
      quality
      B
      maintenance
      Provides read-only tools for planning, writing, and auditing lesion network mapping and connectome-based localization papers, including design classification, methods checklists, phrasebooks, limitations, and manuscript auditing.
      9
      1
      MIT
    • A
      license
      Not graded
      quality
      B
      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.
      48 PyPI
      1
      BSD 3-Clause
    • F
      license
      A
      quality
      B
      maintenance
      Exposes NeuroGraph's scientific API to AI models as MCP tools, enabling them to query, analyze, and visualize brain networks — regions, tracts, connectivity, literature, and cross-species homologies — drawn from a portable SSD-based neuroimaging data library. Lets models read real atlas data, load datasets, compute graph metrics, and produce visualization scene descriptors without acting as the scientific engine itself.
      12
      2
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables agents to inspect and analyze ROS recordings through MCP tools and resources, including topic indexing, frame/point-cloud/depth sampling, IMU/odometry series, calibration, and exportable clips, previews, and reports. It provides bounded queries and materialization of analysis artifacts without requiring a ROS installation.
      MIT

    TDQS

    B3.3/5.0

    Scored across 24 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes, and the descriptions separate similar operations well. Minor overlap exists between open_session/get_session_info (both return metadata) and detect_spikes/sort_spikes (both derive spike times from broadband data), but the descriptions clarify the different workflows.

    Naming Consistency5/5

    Tool names follow a consistent snake_case verb_noun pattern: open_session, close_session, get_session_info, set_probe_geometry, list_sources, fit_decoder, sort_spikes, plot_raster. The naming convention is uniform and predictable across all 24 tools.

    Tool Count3/5

    At 24 tools, the server is on the heavy end of the borderline range and covers a broad electrophysiology workflow. While each tool seems to have a legitimate role, the sheer number may make tool selection more difficult than necessary.

    Completeness4/5

    The tool set covers the main ephys lifecycle: dataset discovery, session open/close, metadata, signal quality, spike detection/sorting, decoding, latent factor analysis, and plotting. Minor gaps exist, such as no explicit list of currently open sessions or raw signal extraction, but these are workable around and do not block the core workflow.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive