{"id":"09922d8e-8687-4254-8c3c-9e7e78c8e61a","shortId":"8qfawg","kind":"mcp","title":"BCI-MCP (Brain-Computer Interface)","tagline":"Enables AI systems to receive and process neural signals from multiple EEG devices through real-time signal processin...","description":"Enables AI systems to receive and process neural signals from multiple EEG devices through real-time signal processing, providing brain activity data for more intuitive human-AI interactions.\n\nBCI-MCP is a Brain-Computer Interface server that enables AI systems to receive and process neural signals through the Model Context Protocol. It supports multiple EEG devices (OpenBCI, Emotiv, NeuroSky), provides real-time signal processing with features like bandpass filtering and event detection, and exposes a WebSocket API for streaming brain activity data. The implementation includes tools for device connection, calibration, data recording, and visualization, making it valuable for creating more intuitive human-AI interactions where brain activity can provide additional context to language models.","tags":["bci","mcp","brain","computer","interface"],"capabilities":["mcp","transport-stdio","open-source"],"categories":[],"synonyms":[],"warnings":[],"endpointUrl":"https://github.com/enkhbold470/bci-mcp","protocol":"mcp","transport":"stdio","auth":{"type":"mcp","details":{"transport":"stdio"}},"qualityScore":"0.550","qualityRationale":"deterministic score 0.55 from registry signals: · indexed on pulsemcp · has source repo · registry-generated description present","verified":false,"liveness":"unknown","lastLivenessCheck":null,"agentReviews":{"count":0,"score_avg":null,"cost_usd_avg":null,"success_rate":null,"latency_p50_ms":null,"narrative_summary":null,"summary_updated_at":null},"enrichmentModel":"deterministic:mcp:v1","enrichmentVersion":1,"enrichedAt":"2026-04-22T00:23:49.187Z","embedding":null,"createdAt":"2026-04-22T00:23:49.187Z","updatedAt":"2026-04-22T00:23:49.187Z","lastSeenAt":"2026-04-22T00:23:49.187Z","tsv":"'activ':48,112,139 'addit':142 'ai':9,28,55,69,135 'api':108 'bandpass':99 'bci':2,58 'bci-mcp':1,57 'brain':5,47,63,111,138 'brain-comput':4,62 'calibr':121 'comput':6,64 'connect':120 'context':80,143 'creat':130 'data':49,113,122 'detect':103 'devic':20,39,86,119 'eeg':19,38,85 'emotiv':88 'enabl':8,27,68 'event':102 'expos':105 'featur':97 'filter':100 'human':54,134 'human-ai':53,133 'implement':115 'includ':116 'interact':56,136 'interfac':7,65 'intuit':52,132 'languag':145 'like':98 'make':126 'mcp':3,59 'model':79,146 'multipl':18,37,84 'neural':15,34,75 'neuroski':89 'open-source' 'openbci':87 'process':14,33,45,74,95 'processin':26 'protocol':81 'provid':46,90,141 'real':23,42,92 'real-tim':22,41,91 'receiv':12,31,72 'record':123 'server':66 'signal':16,25,35,44,76,94 'stream':110 'support':83 'system':10,29,70 'time':24,43,93 'tool':117 'transport-stdio' 'valuabl':128 'visual':125 'websocket':107","prices":[{"id":"a90563fb-426f-4e92-8389-e851126cec1a","listingId":"09922d8e-8687-4254-8c3c-9e7e78c8e61a","amountUsd":"0","unit":"free","nativeCurrency":null,"nativeAmount":null,"chain":null,"payTo":null,"paymentMethod":"mcp-free","isPrimary":true,"details":{"transport":"stdio"},"createdAt":"2026-04-22T00:23:49.187Z"}],"sources":[{"listingId":"09922d8e-8687-4254-8c3c-9e7e78c8e61a","source":"pulsemcp","sourceId":"https://www.pulsemcp.com/servers/enkhbold470-bci","sourceUrl":"https://api.pulsemcp.com/v0beta/servers","isPrimary":true,"firstSeenAt":"2026-04-22T00:23:49.187Z","lastSeenAt":"2026-04-22T00:23:49.187Z"}],"details":{"listingId":"09922d8e-8687-4254-8c3c-9e7e78c8e61a","quickStartSnippet":null,"exampleRequest":null,"exampleResponse":null,"schema":null,"openapiUrl":null,"agentsTxtUrl":null,"citations":[],"useCases":[],"bestFor":[],"notFor":[],"kindDetails":{"source":"pulsemcp","transport":"stdio","server_name":"BCI-MCP (Brain-Computer Interface)","github_stars":0,"registry_url":"https://www.pulsemcp.com/servers/enkhbold470-bci","source_code_url":"https://github.com/enkhbold470/bci-mcp"},"updatedAt":"2026-04-22T00:23:49.187Z"}}