boardroom-mcp
Multi-advisor debate, institutional memory, trust scoring, and cognitive governance for AI agents, all running locally.
README
šļø Boardroom MCP
AI Governance-as-a-Service ā Model Context Protocol Server
Give your AI agents a boardroom of advisors. Based on Napoleon Hill's Mastermind Principle ā the idea that coordinated minds produce intelligence no single mind can achieve ā digitized for AI agents.
Multi-advisor debate, institutional memory, trust scoring, and cognitive governance ā all running locally on your machine.
š Read the Full Documentation ā
Complete guide covering Quick Start ā Installation ā 5 Tools ā Use Cases ā Protocol Files ā Building Councils ā Debate Protocols ā Cognitive Drills ā Mind Versioning ā Architecture ā Full System.
ā” Quick Start ā Pick Your Platform
Prerequisites: Node.js 18+ must be installed. Check with
node --version.
š£ 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 ā type this in the chat:
Use the analyze tool with task: "Test ā is the Boardroom working?"
Step 5: See what's available ā 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.
š¢ Claude Code (CLI)
Option A ā One command (recommended):
claude mcp add boardroom -- npx -y boardroom-mcp
Option B ā Config file: Create .mcp.json in your project root:
{
"mcpServers": {
"boardroom": {
"command": "npx",
"args": ["-y", "boardroom-mcp"]
}
}
}
Test it ā type this in Claude Code:
Use the analyze tool with task: "Test ā 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.
šµ Cursor
Step 1: Open Settings ā 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 ā type in Cursor chat:
Use the analyze tool with task: "Test ā 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.
š” Windsurf
Step 1: Open Settings ā 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 ā type in Windsurf chat:
Use the analyze tool with task: "Test ā 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.
š· VS Code (GitHub Copilot)
Requires GitHub Copilot with agent mode enabled.
Step 1: Enable MCP: Settings ā Copilot ā MCP (toggle on).
Step 2: Create .vscode/mcp.json in your project root:
{
"servers": {
"boardroom": {
"command": "npx",
"args": ["-y", "boardroom-mcp"]
}
}
}
ā ļø Note: VS Code uses
"servers"ā NOT"mcpServers". This is different from all other platforms.
Step 3: Reload VS Code window (Ctrl+Shift+P ā "Reload Window").
Test it ā type in Copilot Chat (Agent mode):
Use the analyze tool with task: "Test ā 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.
ā« ChatGPT Desktop
Requires ChatGPT Plus or Pro subscription.
Step 1: Open ChatGPT Desktop ā Settings ā Developer ā 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 ā type in the chat:
Use the analyze tool with task: "Test ā 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.
š OpenAI Codex CLI
Option A ā One command (recommended):
codex mcp add boardroom -- npx -y boardroom-mcp
Option B ā Config file: Add to ~/.codex/config.toml:
[mcp_servers.boardroom]
type = "stdio"
command = "npx"
args = ["-y", "boardroom-mcp"]
Test it ā type in Codex CLI:
Use the analyze tool with task: "Test ā 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.
š“ Antigravity
Create .mcp.json in your workspace root:
{
"mcpServers": {
"boardroom": {
"command": "npx",
"args": ["-y", "boardroom-mcp"]
}
}
}
Test it ā type in the chat:
Use the analyze tool with task: "Test ā 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.
š¦ 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 ā multi-advisor strategic analysis via MCP server.
metadata: {"clawdbot":{"emoji":"šļø","always":true,"requires":{"bins":["node"]},"primaryEnv":"BOARDROOM_ROOT"}}
---
# Boardroom MCP šļø
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
# ā ready ā š¦ boardroom
Test it ā type in the chat:
Use the analyze tool with task: "Test ā 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.
ā 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?"
š 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. |
š¦ Alternative Installation Methods
# Option A: npx (used by MCP configs above ā 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
npxfails, 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"] } } }
š§ 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 |
ā See detailed tool documentation with examples
šļø Architecture
Your AI Client (Claude, Cursor, Windsurf, VS Code, ChatGPT, Codex, Antigravity, OpenClaw)
ā MCP Protocol (STDIO)
ā Runs 100% on YOUR machine
ā¼
Boardroom MCP Server
ā
āāā demo/ ā Demo council (Buffett, Torvalds, Aurelius)
ā
ā¼
~/.ai/boardroom/ ā Full protocol files (optional upgrade)
āāā LEDGER.md ā Institutional memory
āāā BOARD_WISDOM.md ā Distilled principles
āāā mastermind/
āāā seats/ ā Advisor definitions
āāā councils/ ā Expert panels
āāā protocols/ ā Debate rules
Zero cost. No API keys. No cloud. No hosting. Your AI client does the LLM processing.
šÆ What You Get
Free (This Repo)
- ā MCP server with 5 tools
- ā Demo council (3 named advisors: Warren Buffett, Linus Torvalds, Marcus Aurelius)
- ā MIT license
Full System (salars.net/boardroom)
- šļø 450+ named advisors with calibrated seat cards (Buffett, Torvalds, Aurelius...)
- šļø 38 expert councils (Tech, Business, Survival, Legal, Creative...)
- āļø 5 debate resolution types
- š§ 10 cognitive drills
- ā³ Mind Versioning (Young Jobs vs Late Jobs)
- š„ Prometheus Protocol (forge new domains on the fly)
- šļø Meta-Observer (real-time bias detection)
- š 69+ LEDGER decisions as precedent library
- š 113+ Wisdom Codex entries
- šÆ Smart Router (auto-detects council + severity)
āļø 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 |
š 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:
- Did you restart? Every platform requires a restart after editing the config. Quit completely and reopen.
- Is the config in the right file? Double-check the file path for your platform (see Quick Start above).
- Is the JSON valid? No trailing commas, no comments. Use jsonlint.com to validate.
- Is Node.js 18+ installed? Run
node --versionin your terminal. Must be 18.0.0 or higher. - VS Code users: You need
"servers"not"mcpServers"ā 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 ā 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 ā MCP |
mcpServers |
Restart Cursor |
| Windsurf | .windsurf/mcp.json or Settings ā MCP |
mcpServers |
Restart Windsurf |
| VS Code | .vscode/mcp.json |
ā ļø servers |
Reload Window |
| ChatGPT Desktop | Settings ā Developer ā 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 |
š¬ Stay in the Loop
- š Landing Page ā Feature overview + pricing
- š Documentation ā Complete free ā advanced guide
- š§ Get Full Access ā $29 ā 450+ advisors, 38 councils, lifetime access
- š¦ @SalarsNet ā Tips, demos, and announcements
š¤ Contributing
PRs welcome! Areas we'd love help with:
- Additional demo advisors
- New cognitive drill templates
- Documentation improvements
- Bug fixes
š License
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