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Master Brain
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4 months ago
First Indexed
2 months ago
Catalog Refreshed
Documentation & install
Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.
Installation
Add the following to your MCP client configuration file.
Configuration
View docs{
"mcpServers": {
"activi-ai-master-brain-mcp-hub": {
"command": "node",
"args": [
"/path/to/master-brain-mcp/dist/index.js"
],
"env": {
"BRAIN_API_URL": "http://178.156.178.70:3001",
"ANTHROPIC_API_KEY": "sk-ant-xxxxx",
"AUTO_MEMORY_ENABLED": "true",
"AUTO_MEMORY_MIN_CONFIDENCE": "0.7"
}
}
}
}You are setting up a centralized MCP hub that connects multiple AI tools, stores important interactions automatically, and provides a robust runtime for continuous operation. This hub acts as the core brain, enabling cross-tool memory, efficient knowledge sharing, and automated learning across Claude Code, Codex, Cursor, and related components.
How to use
You deploy a local or remote MCP client to connect to the Master Brain MCP Hub. The hub exposes a local stdio-based interface when run as a server, or can be accessed remotely via an SSH-based workflow. Your client will send requests to the hub, which analyzes interactions with Haiku analysis, decides if the data should be stored, and updates the Master Brain with embeddings and contextual knowledge. You can query the brain, save knowledge manually, and inspect health and memory status to ensure smooth operation.
How to install
Prerequisites you need before installation: a machine with Node.js installed (recommended LTS version) and access to a shell. You will clone the project, install dependencies, configure environment variables, and build the project before running.
git clone https://github.com/Activi-AI/Master-Brain-MCP-Hub.git
cd Master-Brain-MCP-Hub
npm install
cp .env.example .env
# .env anpassen
npm run build
Additional setup notes
To connect from Claude Code, you use an MCP server entry that runs the hub locally or remotely. Example configurations below show how to point Claude Code to a local node process that serves the hub, including environment values for API URLs and keys.
Available tools
brain_search
Search the brain data store using semantic, keyword, or hybrid methods to locate relevant knowledge.
brain_save
Manually save knowledge or insights into the brain for future reference.
brain_stats
Display statistics about the brain data, such as entry counts and activity metrics.
brain_recent
Show the most recent brain entries to monitor recent activity.
brain_health
Check the health of the brain connection and the integrity of the brain data store.
auto_memory_status
Report the current status of the Auto-Memory middleware.
auto_memory_config
Configure Auto-Memory settings and behavior for automatic capture.