BCI-MCP Server
Related Servers
Alternatives to BCI-MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceA 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.4720 PyPI2BSD 3-Clause
- FlicenseNot gradedqualityNot gradedmaintenanceFacilitates interaction and context sharing between AI models using the standardized Model Context Protocol (MCP) with features like interoperability, scalability, security, and flexibility across diverse AI systems.1-
- AlicenseCqualityDmaintenanceEnables AI assistants to query and control a bio-hybrid neuromorphic simulation pipeline, including SNN engine, consciousness proxies, and neuroplatform telemetry, via the Model Context Protocol.50MIT
- AlicenseNot gradedqualityDmaintenanceA Python framework that enables secure hardware control through the Model Context Protocol, allowing AI agents and automation systems to interact with physical devices across multiple platforms.5Apache 2.0
- AlicenseCqualityDmaintenanceIntegrates a bio-hybrid neuromorphic simulation pipeline with SNN, consciousness proxies, and bio-computing platform telemetry as MCP tools, resources, and prompts for AI assistants.481MIT
- AlicenseNot gradedqualityNot gradedmaintenanceA bridging framework that integrates Knowledge Organization Infrastructure (KOI) with Model Context Protocol (MCP), enabling autonomous agents to exchange personality traits and expose capabilities as standardized tools.2MIT
TDQS
Scored across 12 tools
Each tool has a distinct purpose: connection management, data retrieval, recording, neurofeedback control, and event marking. While get_brain_state and stream_summary both provide state snapshots, their descriptions clarify that get_brain_state is detailed and stream_summary is a rolling snapshot, ensuring clear differentiation.
All tool names follow a consistent pattern: lowercase with underscores, using verbs like 'get_', 'list_', 'start_', 'record', etc. There is no mixing of conventions, making it easy to predict tool names.
With 12 tools, the server covers the essential BCI operations—device connection, data streaming, recording, neurofeedback, and calibration—without being overwhelming or sparse. This is a well-scoped set for a BCI server.
The tool set covers core workflows: connect/disconnect, calibrate, retrieve various brain metrics, record, mark events, and start neurofeedback. However, it lacks explicit stop operations for recording and neurofeedback, which could be a minor gap. Overall, it is largely complete for the stated domain.