BrainFlow

v1.0.0Knowledge & Memorystable

BrainFlow - Shared Team's Memory - Company Brain - MCP server documentation and setup guide

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What is BrainFlow?

BrainFlow is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to brainflow - shared team's memory - company brain - mcp server documentation and setup guide

BrainFlow - Shared Team's Memory - Company Brain - MCP server documentation and setup guide

This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • BrainFlow - Shared Team's Memory - Company Brain - MCP serve

Use Cases

Team shared memory system
Company knowledge management and conflict detection
yacine-cherif

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedMay 21, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx brainflow-docs

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use BrainFlow

BrainFlow is a cloud-hosted MCP server that turns your team's email history into shared, queryable company memory accessible from any AI assistant. By CC'ing a BrainFlow address on email threads, conversations are automatically ingested, indexed, and made available for natural language queries — enabling AI assistants like Claude, ChatGPT, Gemini, and VS Code Copilot to surface cross-team context, decisions, commitments, and client interactions on demand. It operates in read-only mode with company-scoped security, making it safe for enterprise use without risk of data modification or cross-tenant leakage.

Prerequisites

  • An active BrainFlow account at brain-flow.ai (7-day free trial available)
  • A BrainFlow API key generated from the dashboard under Settings > API Keys
  • An MCP-compatible AI client: Claude Desktop, Claude Web, ChatGPT, Gemini, VS Code Copilot, or Cursor
  • npx available (comes with Node.js) for clients that use the mcp-remote transport
1

Create a BrainFlow account and workspace

Sign up at brain-flow.ai and create your company workspace. This establishes your company-scoped data environment.

2

Generate an API key

In your BrainFlow dashboard, go to Settings > API Keys, click Generate key, give it a name (e.g. 'Claude Desktop'), and copy the key — it is shown only once.

3

Start sharing email threads

Add your BrainFlow email address to the CC field of any email thread you want indexed as company memory. BrainFlow automatically ingests and indexes the conversation.

4

Configure your MCP client

Add BrainFlow to your AI assistant using the appropriate configuration method for your client.

5

Verify the connection

Ask your AI assistant a question about a recently shared email thread to confirm BrainFlow is returning results.

BrainFlow Examples

Client configuration

Claude Desktop claude_desktop_config.json configuration using mcp-remote to connect to the BrainFlow hosted MCP server. Replace bf_mcp_YOUR_KEY_HERE with your actual API key.

{
  "mcpServers": {
    "brainflow": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://brain-flow.ai/mcp/sse",
        "--header",
        "x-api-key:bf_mcp_YOUR_KEY_HERE"
      ]
    }
  }
}

Prompts to try

Once BrainFlow is connected to your AI assistant, use these prompts to query your company's shared email memory.

- "What commitments did sales make to Delta Corp that operations should know about?"
- "Summarize the marketing team's exchanges over the last week"
- "What did product decide about the Q3 roadmap in their last sync?"
- "Find all Q3 budget discussions across departments"
- "Which topics came up most in leadership emails this quarter?"
- "Show me unresolved high-priority tasks across all teams"

Troubleshooting BrainFlow

AI assistant returns no results for recent email threads

Ensure you CC'd the BrainFlow address (shown in your dashboard) on the email thread. Indexing may take a few minutes after ingestion. Verify the thread was shared with your company workspace, not a personal BrainFlow account.

Authentication fails with 'invalid or inactive API key'

Regenerate the API key in your BrainFlow dashboard (Settings > API Keys) and update the key in your MCP client configuration. API keys are hashed on creation — if you lost the original value you must create a new one.

mcp-remote connection times out when starting Claude Desktop

Verify your network can reach brain-flow.ai. If you are behind a corporate proxy, ensure the proxy allows SSE (Server-Sent Events) connections. Try connecting via the Claude Web custom connector URL as an alternative.

Frequently Asked Questions about BrainFlow

What is BrainFlow?

BrainFlow is a Model Context Protocol (MCP) server that brainflow - shared team's memory - company brain - mcp server documentation and setup guide It connects AI assistants to external tools and data sources through a standardized interface.

How do I install BrainFlow?

Follow the installation instructions on the BrainFlow GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with BrainFlow?

BrainFlow works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is BrainFlow free to use?

Yes, BrainFlow is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Knowledge & Memory MCP Servers

Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "brainflow-docs": { "command": "npx", "args": ["-y", "brainflow-docs"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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