Skip to main content

The Core of Your AI Agents - Model Context Protocol Server

Reason this release was yanked:

IP protection during private beta transition.

Project description

🧠 Nucleus MCP Server

PyPI version Python 3.10+ License: MIT

The Core of Your AI Agents — Multi-agent orchestration MCP server

mcp-server-nucleus connects your local "Nuclear Brain" agentic system with MCP-compatible clients like Claude Desktop, Cursor, and more.

✨ Features

  • 16 MCP Tools for agent orchestration
  • 4 MCP Resources for subscribable state
  • 3 MCP Prompts for pre-built orchestration
  • V2 Task Orchestration — Priority queue, skill routing, dependency DAG
  • Local Intelligence — Directly manipulates your .brain/ directory
  • Event-Driven — Emit and listen to system events
  • Zero-Knowledge Default — Your data stays local

🚀 Quick Start

Installation

# Requires Python 3.10+ (use python3.11 if your default python3 is older)
python3.11 -m pip install mcp-server-nucleus

# Or with pip directly
pip3.11 install mcp-server-nucleus

Note: If you get "No matching distribution found", your Python version is too old. Check with python3 --version and install Python 3.10+ if needed.

Initialize Your Brain (Smart Init!)

# Create a new .brain/ directory — auto-configures Claude Desktop!
nucleus-init

# For solo founders (minimal setup)
nucleus-init --template=solo

v0.2.2+: Smart Init automatically detects Claude Desktop and adds the config for you!

Configuration (Claude Desktop)

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "nucleus": {
      "command": "python3",
      "args": ["-m", "mcp_server_nucleus"],
      "env": {
        "NUCLEAR_BRAIN_PATH": "/path/to/your/.brain"
      }
    }
  }
}

Restart Claude Desktop and try: "What's my current sprint focus?"

Configuration (Windsurf)

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "nucleus": {
      "command": "python3",
      "args": ["-m", "mcp_server_nucleus"],
      "env": {
        "NUCLEAR_BRAIN_PATH": "/path/to/your/.brain"
      }
    }
  }
}

Configuration (Cursor)

Add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "nucleus": {
      "command": "python3",
      "args": ["-m", "mcp_server_nucleus"],
      "env": {
        "NUCLEAR_BRAIN_PATH": "/path/to/your/.brain"
      }
    }
  }
}

🛠 Available Tools

Core Tools

Tool Description
brain_emit_event Emit a new event to the ledger
brain_read_events Read recent events
brain_get_state Get current brain state
brain_update_state Update brain state
brain_read_artifact Read an artifact file
brain_write_artifact Write to an artifact file
brain_list_artifacts List all artifacts
brain_trigger_agent Trigger an agent with a task
brain_get_triggers Get all neural triggers
brain_evaluate_triggers Evaluate trigger activation

V2 Task Orchestration (New in v0.3.0)

Tool Description
brain_list_tasks Query tasks with filters (status, priority, skill, claimed_by)
brain_get_next_task Get highest-priority unblocked task matching your skills
brain_claim_task Atomically claim a task (prevents race conditions)
brain_update_task Update task fields (status, priority, etc.)
brain_add_task Create a new task with full V2 schema
brain_escalate Request human help when stuck

V2 Task Schema (11 fields):

{
  "id": "task-abc123",
  "description": "Build landing page",
  "status": "PENDING | READY | IN_PROGRESS | BLOCKED | DONE | FAILED | ESCALATED",
  "priority": 1,
  "blocked_by": ["task-prerequisite"],
  "required_skills": ["python", "frontend"],
  "claimed_by": "agent-thread-id",
  "source": "user | synthesizer",
  "escalation_reason": null,
  "created_at": "2026-01-03T12:00:00",
  "updated_at": "2026-01-03T12:00:00"
}

📡 MCP Resources

Resource Description
brain://state Live state.json content
brain://events Recent events stream
brain://triggers Trigger definitions
brain://context Full context for cold start — click in sidebar for instant context

💬 MCP Prompts

Prompt Description
cold_start Get instant context — sprint, events, artifacts, workflows
activate_synthesizer Orchestrate current sprint
start_sprint Initialize a new sprint

🎯 Common Use Cases

1. Run a Sprint

> "What's my current sprint focus?"
> "Add a task: Build landing page with priority 1"
> "Show me all priority 1 tasks"

2. Coordinate Multiple Agents

> "Claim the next Python task for me"
> "Mark task-abc123 as DONE"
> "List all tasks claimed by agent-1"

3. Escalate When Stuck

> "Escalate task-xyz with reason: Need human approval on pricing"

The task is released and flagged for human intervention.

4. Check Agent Context

> "Use the cold_start prompt from nucleus"

Instantly loads sprint, events, and artifacts.

🚀 Cold Start (New in v0.2.4)

Start every new session with full context:

> Use the cold_start prompt from nucleus

Or click brain://context in Claude Desktop's sidebar.

What you get:

  • Current sprint name, focus, and status
  • Recent events and artifacts
  • Workflow detection (e.g., lead_agent_model.md)
  • Lead Agent role assignment

📁 Expected .brain/ Structure

.brain/
├── ledger/
│   ├── events.jsonl
│   ├── state.json
│   └── triggers.json
├── artifacts/
│   ├── research/
│   ├── strategy/
│   └── ...
└── agents/
    └── *.md

📜 License

MIT © Nucleus Team

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mcp_server_nucleus-0.3.1.tar.gz (202.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mcp_server_nucleus-0.3.1-py3-none-any.whl (16.2 kB view details)

Uploaded Python 3

File details

Details for the file mcp_server_nucleus-0.3.1.tar.gz.

File metadata

  • Download URL: mcp_server_nucleus-0.3.1.tar.gz
  • Upload date:
  • Size: 202.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.14

File hashes

Hashes for mcp_server_nucleus-0.3.1.tar.gz
Algorithm Hash digest
SHA256 a7ced5e24acf5cfffd9d2f6311825e0823cb02af49817b4ce4e3cebab648a4af
MD5 b6210e3f65095d50258ea91bf63462cb
BLAKE2b-256 7c79bc147775af1dac79bb8f053490db323b710678eb612db206378eb2a69b47

See more details on using hashes here.

File details

Details for the file mcp_server_nucleus-0.3.1-py3-none-any.whl.

File metadata

File hashes

Hashes for mcp_server_nucleus-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 79e78c36d29e6544249ca14c9df8198ddc3c130badc9b320caf0d8a7491dc54c
MD5 f58dad88fc9f1605c3c3a183fb06bfb7
BLAKE2b-256 b5a47f2f6fa59ece2ab75b111feea369076989661c1b8fd51333faf9c6c0edd3

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page