company-brain-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@company-brain-mcpWhat are the key facts and health signals for account 'GlobalTech'?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
company-brain-mcp
MCP server exposing the Company Brain (Supabase GraphRAG knowledge store) to AI agents.
Runs three transports simultaneously:
Streamable HTTP (
POST /mcp) — Claude web (claude.ai) and Claude Code HTTP entriesLegacy SSE (
GET /sse+POST /messages) — n8nmcpClientTool(v2.15)stdio (
dist/index.js) — local Claude Code via.mcp.json
Tools (16)
Account-centric:
get_account_summarylist_account_meetingsget_account_factsget_account_health_signalsget_account_context_graphfind_accounts_by_tagfind_similar_accountsfind_similar_accounts_by_description
Retrieval / graph:
search_meeting_chunks(hybrid HNSW + FTS + tag)search_peopleget_meeting_transcriptget_person_meetingsget_org_hierarchyquery_tag_trendssearch_product_docssearch_call_log(RingCentral calls by phone/person/direction)
Related MCP server: Supabase MCP Server
Setup
npm install
npm run buildEnvironment
Create /etc/brain-mcp/env (chmod 600) or an .env:
SUPABASE_URL=https://<project>.supabase.co
SUPABASE_SERVICE_ROLE_KEY=<service role key>
GEMINI_API_KEY=<gemini key>
MCP_API_KEY=<openssl rand -hex 32>
MCP_PORT=3100
ALLOWED_ORIGINS=https://claude.ai,https://<n8n-host>
GOFLEET_ORG_ID=<org uuid>
brainmust be listed in Supabase Dashboard → Settings → API → Exposed Schemas.
Run
npm run start # stdio (local Claude Code)
npm run start:http # HTTP + SSE server on MCP_PORTProduction (PM2):
pm2 start ecosystem.config.cjs
pm2 save && pm2 startupThis server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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