zerotoall protocol MCP Server

"Trust between beings."

MCP server providing trust analysis tools for AI agents in the Internet of Beings.

Overview

MCP (Model Context Protocol) server for zerotoall protocol trust baseline data. Enables AI agents to:

• Analyze MCP server security posture and trust scores
• Query real-time Crypto Twitter sentiment and narratives

Core Concepts

| Concept | Description | |---------|-------------| | Zero to All | Trust defined by everyone, not one company | | The Gap | 200,000-year firewall between thought and action, now rebuilt as trust layer | | Internet of Beings | Web 4.0: Humans + AI agents acting with intent | | Traffic Light | Complex evaluations, universal output |

Installation

Via npx (Recommended)

npx @zerotoallai/mcp

Local Build

cd mcp-server
npm install
npm run build

Configuration

Environment Variables

| Variable | Default | Description | |----------|---------|-------------| | ZEROTOALL_API_URL | https://zero-to-all-protocol-production-b265.up.railway.app | API base URL |

Claude Desktop

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

{
  "mcpServers": {
    "zerotoallai": {
      "command": "npx",
      "args": ["-y", "@zerotoallai/mcp"]
    }
  }
}

Claude Code

Add to ~/.claude/settings.json:

{
  "mcpServers": {
    "zerotoallai": {
      "command": "npx",
      "args": ["-y", "@zerotoallai/mcp"]
    }
  }
}

Custom API URL

{
  "mcpServers": {
    "zerotoallai": {
      "command": "npx",
      "args": ["-y", "@zerotoallai/mcp"],
      "env": {
        "ZEROTOALL_API_URL": "https://your-api.com/api"
      }
    }
  }
}

Restart Claude Desktop/Code after updating config.

Tools

MCP Server Analysis Tools

| Tool | Description | |------|-------------| | analyze_mcp_server | Analyze MCP server security posture from package.json | | get_mcp_trust_score | Get trust score for a specific MCP server | | compare_mcp_servers | Compare security posture of two MCP servers | | get_mcp_baseline | Get MCP ecosystem baseline (average scores) |

CT Narrative Tools (Legacy)

| Tool | Description | |------|-------------| | get_ct_baseline | Get CT narrative distribution (what CT is discussing) | | get_ct_projects | Get top projects by narrative category (from CoinGecko) | | analyze_bubble | Analyze specific narrative vs CT average | | get_bridging_stats | Get CT bridging statistics (bubble breaking activity) | | get_bridging_leaderboard | Get bridging leaderboard (top bubble breakers) |

Example Queries

Once configured, you can ask Claude:

MCP Server Trust

• "Analyze the security of @modelcontextprotocol/server-filesystem"
• "What's the trust score of this MCP server?" (paste package.json)
• "Compare the security of server-github vs server-slack"
• "What's the average security posture for MCP servers?"

CT Narratives

• "What narratives are hot on CT right now?"
• "Show me the top AI Agent projects"
• "Analyze the DeFi narrative bubble"
• "Who are the top bubble breakers?"

API Reference

analyze_mcp_server

Parameters:
- package_json: string (required) - JSON string of package.json contents

Returns security posture including:
- Overall score (0-100)
- Permission analysis (file, network, shell, env)
- Risk patterns detected
- Positive signals
- Warnings

get_mcp_trust_score

Parameters:
- server_name: string (required) - npm package name (e.g., "@anthropic/mcp-server")

Returns trust score and risk level for a known MCP server.

compare_mcp_servers

Parameters:
- server_a: string (required) - First server package.json
- server_b: string (required) - Second server package.json

Returns side-by-side comparison of:
- Overall scores
- Permission differences
- Risk level comparison

get_mcp_baseline

Parameters:
- format: "json" | "text" (default: "text")

Returns MCP ecosystem baseline:
- Average permission score
- Average posture score
- Average risk score
- Risk level distribution

get_ct_baseline

Parameters:
- format: "json" | "text" (default: "text")

Returns CT narrative distribution with quadratic-weighted averages.

get_ct_projects

Parameters:
- category: string (optional) - Filter by narrative
- format: "json" | "text" (default: "text")

Available categories:
AI Agents, AI Infrastructure, DeFi, Memecoins, Layer 2,
Bitcoin, Ethereum, Solana, NFT/PFP, Gaming/Metaverse,
Infrastructure, Governance/DAO, DePIN, RWA, Stablecoins

analyze_bubble

Parameters:
- narrative: string (required) - Narrative to analyze

Returns analysis including:
- CT attention percentage
- Ranking among all narratives
- Similar narratives
- Hot/Active/Niche/Cold status

get_bridging_stats

Parameters:
- format: "json" | "text" (default: "text")

Returns bridging statistics:
- Total participants
- Score distribution
- Bubble type breakdown

get_bridging_leaderboard

Parameters:
- limit: number (default: 20, max: 100)
- format: "json" | "text" (default: "text")

Returns top bubble breakers (anonymized).

Design Axioms

1. Protocol > Platform - Build infrastructure, not applications
2. Permissionless > Permissioned - Anyone can evaluate, no gatekeepers
3. Velocity > Stock - Current trajectory matters more than accumulated reputation
4. Earned > Purchased - Trust must be contributed, not bought
5. Plurality In, Simplicity Out - Diverse evaluations, universal signal

Data Source

All data comes from zerotoall.ai powered by zerotoall protocol.

• Methodology: Quadratic-weighted aggregation
• License: MIT
• Rate limit: 60 req/min

License

MIT