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🏛️ Boardroom MCP

AI Governance-as-a-Service — Model Context Protocol Server

MIT License npm MCP

Give your AI agents a boardroom of advisors. Based on Napoleon Hill's Mastermind Principle — the idea that coordinated minds produce intelligence no single mind can achieve — digitized for AI agents.

Multi-advisor debate, institutional memory, trust scoring, and cognitive governance — all running locally on your machine.

📖 Read the Full Documentation →

Complete guide covering Quick Start → Installation → 5 Tools → Use Cases → Protocol Files → Building Councils → Debate Protocols → Cognitive Drills → Mind Versioning → Architecture → Full System.


⚡ Quick Start — Pick Your Platform

Prerequisites: Node.js 18+ must be installed. Check with node --version.


🟣 Claude Desktop

Step 1: Open your config file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  • Windows: %APPDATA%\Claude\claude_desktop_config.json

Step 2: Paste this (create the file if it doesn't exist):

{
  "mcpServers": {
    "boardroom": {
      "command": "npx",
      "args": ["-y", "boardroom-mcp"]
    }
  }
}

Step 3: Restart Claude Desktop completely (quit and reopen).

Step 4: Test it — type this in the chat:

Use the analyze tool with task: "Test — is the Boardroom working?"

Step 5: See what's available — type this in the chat:

What Boardroom MCP tools do I have access to? List all 5 tools with a one-line description of each.

🟢 Claude Code (CLI)

Option A — One command (recommended):

claude mcp add boardroom -- npx -y boardroom-mcp

Option B — Config file: Create .mcp.json in your project root:

{
  "mcpServers": {
    "boardroom": {
      "command": "npx",
      "args": ["-y", "boardroom-mcp"]
    }
  }
}

Test it — type this in Claude Code:

Use the analyze tool with task: "Test — is the Boardroom working?"

See what's available:

What Boardroom MCP tools do I have access to? List all 5 tools with a one-line description of each.

🔵 Cursor

Step 1: Open Settings → MCP (or create .cursor/mcp.json in your project root)

Step 2: Add this server config:

{
  "mcpServers": {
    "boardroom": {
      "command": "npx",
      "args": ["-y", "boardroom-mcp"]
    }
  }
}

Step 3: Restart Cursor.

Test it — type in Cursor chat:

Use the analyze tool with task: "Test — is the Boardroom working?"

See what's available:

What Boardroom MCP tools do I have access to? List all 5 tools with a one-line description of each.

🟡 Windsurf

Step 1: Open Settings → MCP or create .windsurf/mcp.json in your project root.

Step 2: Add this server config:

{
  "mcpServers": {
    "boardroom": {
      "command": "npx",
      "args": ["-y", "boardroom-mcp"]
    }
  }
}

Step 3: Restart Windsurf.

Test it — type in Windsurf chat:

Use the analyze tool with task: "Test — is the Boardroom working?"

See what's available:

What Boardroom MCP tools do I have access to? List all 5 tools with a one-line description of each.

🔷 VS Code (GitHub Copilot)

Requires GitHub Copilot with agent mode enabled.

Step 1: Enable MCP: Settings → Copilot → MCP (toggle on).

Step 2: Create .vscode/mcp.json in your project root:

{
  "servers": {
    "boardroom": {
      "command": "npx",
      "args": ["-y", "boardroom-mcp"]
    }
  }
}

⚠️ Note: VS Code uses "servers" — NOT "mcpServers". This is different from all other platforms.

Step 3: Reload VS Code window (Ctrl+Shift+P → "Reload Window").

Test it — type in Copilot Chat (Agent mode):

Use the analyze tool with task: "Test — is the Boardroom working?"

See what's available:

What Boardroom MCP tools do I have access to? List all 5 tools with a one-line description of each.

⚫ ChatGPT Desktop

Requires ChatGPT Plus or Pro subscription.

Step 1: Open ChatGPT Desktop → Settings → Developer → Connectors.

Step 2: Click "Add Custom MCP Server" and paste:

{
  "mcpServers": {
    "boardroom": {
      "command": "npx",
      "args": ["-y", "boardroom-mcp"]
    }
  }
}

Step 3: Enable the "boardroom" connector in your chat.

Test it — type in the chat:

Use the analyze tool with task: "Test — is the Boardroom working?"

See what's available:

What Boardroom MCP tools do I have access to? List all 5 tools with a one-line description of each.

🟠 OpenAI Codex CLI

Option A — One command (recommended):

codex mcp add boardroom -- npx -y boardroom-mcp

Option B — Config file: Add to ~/.codex/config.toml:

[mcp_servers.boardroom]
type = "stdio"
command = "npx"
args = ["-y", "boardroom-mcp"]

Test it — type in Codex CLI:

Use the analyze tool with task: "Test — is the Boardroom working?"

See what's available:

What Boardroom MCP tools do I have access to? List all 5 tools with a one-line description of each.

🔴 Antigravity

Create .mcp.json in your workspace root:

{
  "mcpServers": {
    "boardroom": {
      "command": "npx",
      "args": ["-y", "boardroom-mcp"]
    }
  }
}

Test it — type in the chat:

Use the analyze tool with task: "Test — is the Boardroom working?"

See what's available:

What Boardroom MCP tools do I have access to? List all 5 tools with a one-line description of each.

🦞 OpenClaw

OpenClaw uses its skills system instead of MCP server configs.

Step 1: Clone and build the server:

git clone https://github.com/randysalars/boardroom-mcp.git
cd boardroom-mcp && npm install && npm run build

Step 2: Create the skill directory:

mkdir -p ~/.openclaw/skills/boardroom

Step 3: Create ~/.openclaw/skills/boardroom/SKILL.md:

---
name: boardroom
description: Boardroom Mastermind Council — multi-advisor strategic analysis via MCP server.
metadata: {"clawdbot":{"emoji":"🏛️","always":true,"requires":{"bins":["node"]},"primaryEnv":"BOARDROOM_ROOT"}}
---

# Boardroom MCP 🏛️

Multi-advisor strategic analysis. Run sessions via:

```bash
BOARDROOM_ROOT=~/.ai/boardroom node /path/to/boardroom-mcp/dist/index.js

Usage: "Board: Should I raise prices on my SaaS?"


**Step 4:** Add to `~/.openclaw/.env`:
```bash
BOARDROOM_ROOT=/path/to/your/.ai/boardroom

Step 5: Restart and verify:

systemctl --user restart openclaw-gateway.service
openclaw skills list | grep boardroom
# ✓ ready │ 📦 boardroom

Test it — type in the chat:

Use the analyze tool with task: "Test — is the Boardroom working?"

See what's available:

What Boardroom MCP tools do I have access to? List all 5 tools with a one-line description of each.

✅ What Success Looks Like

When the test prompt works, you'll see output like:

# Boardroom Analysis

## Advisors Consulted
- **Warren Buffett** (Business Strategy): [their position]
- **Linus Torvalds** (Technology): [their position]
- **Marcus Aurelius** (Values & Ethics): [their position]

## Verdict
[synthesized recommendation]

## Recommended Actions
1. [action item]
2. [action item]

If you see this, it's working. Try a real question next:

Use the analyze tool with task: "Should I raise my SaaS price from $29 to $49?"

📖 Quick Command Reference

Copy-paste these prompts into your AI chat to use each tool:

What You Want

Prompt to Type

Full analysis

Use the analyze tool with task: "Should I build feature X or Y?"

Risk check

Use the check_governance tool with task: "Deploy to production on Friday"

Search past decisions

Use the query_intelligence tool with query: "pricing strategy"

Trust assessment

Use the trust_lookup tool for entity: "Stripe" with context: "payment processing"

Log an outcome

Use the report_outcome tool with decision: "Raised prices 30%" and outcome: "Revenue up 22%"

List all tools

What Boardroom MCP tools do I have? List all 5 with descriptions.


📦 Alternative Installation Methods

# Option A: npx (used by MCP configs above — no global install needed)
npx -y boardroom-mcp

# Option B: Global install
npm install -g boardroom-mcp
boardroom-mcp

# Option C: Clone and build (for development/contributing)
git clone https://github.com/randysalars/boardroom-mcp.git
cd boardroom-mcp && npm install && npm run build

Note: If npx fails, use Option C (clone and build), then point your MCP config to the local build:

{
  "mcpServers": {
    "boardroom": {
      "command": "node",
      "args": ["/path/to/boardroom-mcp/dist/index.js"]
    }
  }
}

🔧 5 MCP Tools

Tool

Purpose

analyze

Full boardroom consultation with multi-advisor debate

check_governance

Task classification + severity routing

query_intelligence

Search LEDGER decisions + Wisdom Codex

trust_lookup

6-dimension trust vector for any entity

report_outcome

Log outcomes for institutional memory

See detailed tool documentation with examples


🏗️ Architecture

Your AI Client (Claude, Cursor, Windsurf, VS Code, ChatGPT, Codex, Antigravity, OpenClaw)
         │ MCP Protocol (STDIO)
         │ Runs 100% on YOUR machine
         ▼
  Boardroom MCP Server
         │
         ├── demo/              ← Demo council (Buffett, Torvalds, Aurelius)
         │
         ▼
  ~/.ai/boardroom/          ← Full protocol files (optional upgrade)
  ├── LEDGER.md              ← Institutional memory
  ├── BOARD_WISDOM.md        ← Distilled principles
  └── mastermind/
      ├── seats/             ← Advisor definitions
      ├── councils/          ← Expert panels
      └── protocols/         ← Debate rules

Zero cost. No API keys. No cloud. No hosting. Your AI client does the LLM processing.


🎯 What You Get

Free (This Repo)

  • ✅ MCP server with 5 tools

  • ✅ Demo council (3 named advisors: Warren Buffett, Linus Torvalds, Marcus Aurelius)

  • ✅ MIT license

Full System (salars.net/boardroom)

  • 🏛️ 450+ named advisors with calibrated seat cards (Buffett, Torvalds, Aurelius...)

  • 🏛️ 38 expert councils (Tech, Business, Survival, Legal, Creative...)

  • ⚔️ 5 debate resolution types

  • 🧠 10 cognitive drills

  • ⏳ Mind Versioning (Young Jobs vs Late Jobs)

  • 🔥 Prometheus Protocol (forge new domains on the fly)

  • 👁️ Meta-Observer (real-time bias detection)

  • 📚 69+ LEDGER decisions as precedent library

  • 📖 113+ Wisdom Codex entries

  • 🎯 Smart Router (auto-detects council + severity)


⚙️ Environment Variables

Variable

Default

Description

BOARDROOM_ROOT

~/.ai/boardroom

Path to your full protocol files directory

BOARDROOM_TRUST_PATH

~/.boardroom/trust-oracle.json

Path to trust oracle data file


🔍 Troubleshooting

The AI ignores my prompt and doesn't use the tool

This is the #1 issue. It means the MCP server isn't loaded. Fix it:

  1. Did you restart? Every platform requires a restart after editing the config. Quit completely and reopen.

  2. Is the config in the right file? Double-check the file path for your platform (see Quick Start above).

  3. Is the JSON valid? No trailing commas, no comments. Use jsonlint.com to validate.

  4. Is Node.js 18+ installed? Run node --version in your terminal. Must be 18.0.0 or higher.

  5. VS Code users: You need "servers" not "mcpServers" — VS Code uses a different format.

The AI says "boardroom-mcp not found" or npx fails

# Verify the package exists
npm view boardroom-mcp version

# If that works but npx doesn't, clear cache:
npx clear-npx-cache
npx -y boardroom-mcp

# Nuclear option — install globally:
npm install -g boardroom-mcp

Then update your config to use the global install:

{
  "mcpServers": {
    "boardroom": {
      "command": "boardroom-mcp"
    }
  }
}

"No advisors found" in the output

The demo council file isn't being found. This means the package installed but can't find demo/seats.md.

# Check if the demo file exists in the package
npx -y boardroom-mcp --help 2>/dev/null
ls $(npm root -g)/boardroom-mcp/demo/

If the demo directory is missing, reinstall: npm install -g boardroom-mcp

ENOENT errors

You're pointing at a BOARDROOM_ROOT directory that doesn't exist:

# Check what path it's looking for
echo $BOARDROOM_ROOT

# Create it or unset the variable:
unset BOARDROOM_ROOT  # falls back to demo council

Tools appear but return errors

# Test the server directly in your terminal:
npx -y boardroom-mcp

# If it starts without errors, the MCP server works.
# The issue is in your AI client's connection to it.
# Try removing and re-adding the MCP config.

Claude Code specific: "MCP server failed to start"

# Remove and re-add:
claude mcp remove boardroom
claude mcp add boardroom -- npx -y boardroom-mcp

# Verify it's registered:
claude mcp list

Permission errors on macOS

# If npx can't write to the cache:
sudo chown -R $(whoami) ~/.npm
npm cache clean --force

Platform-specific config cheat sheet

Platform

Config File

Key Name

Restart Method

Claude Desktop

claude_desktop_config.json

mcpServers

Quit + reopen app

Claude Code

.mcp.json or claude mcp add

mcpServers

Auto-reloads

Cursor

.cursor/mcp.json or Settings → MCP

mcpServers

Restart Cursor

Windsurf

.windsurf/mcp.json or Settings → MCP

mcpServers

Restart Windsurf

VS Code

.vscode/mcp.json

⚠️ servers

Reload Window

ChatGPT Desktop

Settings → Developer → Connectors

mcpServers

Toggle connector

Codex CLI

~/.codex/config.toml or codex mcp add

mcp_servers (TOML)

Auto-reloads

Antigravity

.mcp.json

mcpServers

Auto-reloads

OpenClaw

~/.openclaw/skills/boardroom/SKILL.md

Skills system

Restart gateway


📬 Stay in the Loop


🤝 Contributing

PRs welcome! Areas we'd love help with:

  • Additional demo advisors

  • New cognitive drill templates

  • Documentation improvements

  • Bug fixes


📄 License

MIT — Built by SalarsNet

A
license - permissive license
-
quality - not tested
C
maintenance

Maintenance

Maintainers
Response time
Release cycle
1Releases (12mo)
Commit activity

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