
Nucleus Brain - Multi-Agent Orchestration MCP Server
@LKGargProjects
Basic information
About Nucleus Brain - Multi-Agent Orchestration MCP Server
🧠 The Core of Your AI Agents
Nucleus Brain - Multi-Agent Orchestration MCP Server config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"nucleus-brain": {
"command": "python3",
"args": [
"-m",
"mcp_server_nucleus"
],
"env": {
"NUCLEAR_BRAIN_PATH": "/path/to/your/.brain"
}
}
}
}Nucleus Brain - Multi-Agent Orchestration MCP Server tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Nucleus Brain - Multi-Agent Orchestration?
Nucleus Brain is an MCP server that provides 10 tools for events, state, artifacts, and triggers; 3 subscribable resources for state, events, and triggers; and 2 prompts for pre-built orchestration commands. It is designed with a privacy-first approach, keeping all data local.
How to use Nucleus Brain - Multi-Agent Orchestration?
Install the server via pip: pip install mcp-server-nucleus-brain. Then configure your MCP client to connect to this server and use its tools, resources, and prompts.
Key features of Nucleus Brain - Multi-Agent Orchestration
- 10 MCP Tools for events, state, artifacts, triggers
- 3 MCP Resources: subscribable state, events, triggers
- 2 MCP Prompts: pre-built orchestration commands
- Tested with 11 pytest tests and GitHub Actions CI
- Privacy-first: all data stays local
Use cases of Nucleus Brain - Multi-Agent Orchestration
—
FAQ from Nucleus Brain - Multi-Agent Orchestration
—
More Reasoning MCP servers
🚀 Aider-MCP: AI Coding Server with Universal Auto-Detection
jacv888Aider-MCP-Upgraded is a production-grade multi-agent AI coding system that combines Desktop Commander (DC) investigation capabilities with Aider's implementation power. Features 70%+ token reduction, modular architecture, and intelligent workflow automation through strategic agen
Part 1. Real-Time LangGraph Agent with MCP Tool Execution
junfanz1This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP (Modular Command Protocol) servers. The architecture enables a flexible and scalable multi-agent system where each tool can be hosted independent
iFlytek Workflow MCP Server
iflytekThis a simple implementation of an MCP server using iFlytek. It enables calling iFlytek workflows through MCP tools.
MCP Servers
junfanz1This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP (Modular Command Protocol) servers. The architecture enables a flexible and scalable multi-agent system where each tool can be hosted independent
MCP Sandbox
danstarnsTurn any JavaScript module into a sandboxed MCP (Model Context Protocol) server with automatic reflection and type inference.
Comments