Which integrations are available for this server?

Provides comprehensive security analysis and risk assessment for Ethereum-based tokens, including rug pull detection and consensus-based scoring. Enables deep due diligence for Solana tokens through 6-agent consensus analysis, monitoring for mint/freeze authority, and LP lock status.

How do I use VerdictSwarm MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@VerdictSwarm MCP Server Check if this token is safe: DezXAZ8z7PnrnRJjz3wXBoRgixCa6xjnB7YaB1pPB263 on Solana" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

🔍 VerdictSwarm MCP Server

GitHub Python License: MIT MCP

The first crypto token scanner available via MCP. Give any AI agent the ability to analyze tokens for rug pulls, scams, and risk — powered by VerdictSwarm's 6-AI-agent consensus system.

Works with Claude Desktop, OpenClaw, Cursor, Codex, Windsurf, and any MCP-compatible client.

Why?

AI trading agents are making on-chain decisions with no risk analysis. VerdictSwarm MCP gives them instant access to:

6-agent consensus scoring — not one model's opinion, six independent AI agents debate the risk
On-chain security audits — mint authority, freeze authority, honeypot detection, LP lock status
Rug pull detection — holder concentration, bundle/sniper activity, contract age analysis
Human-readable reports — markdown reports ready to share or embed

One tool call. Sub-second cached responses. No blockchain node required.

Quick Start

Install & Run

# Install from GitHub pip install git+https://github.com/vswarm-ai/verdictswarm.git#subdirectory=mcp-server VS_API_KEY=your_key verdictswarm-mcp # Or with uvx (zero-install) VS_API_KEY=your_key uvx git+https://github.com/vswarm-ai/verdictswarm.git#subdirectory=mcp-server # Or clone and run git clone https://github.com/vswarm-ai/verdictswarm.git cd verdictswarm/mcp-server uv run verdictswarm-mcp

Claude Desktop

Add to your claude_desktop_config.json:

{ "mcpServers": { "verdictswarm": { "command": "uvx", "args": ["git+https://github.com/vswarm-ai/verdictswarm.git#subdirectory=mcp-server"], "env": { "VS_API_KEY": "your_key_here" } } } }

Then ask Claude: "Check if this token is safe:

OpenClaw

mcpServers: verdictswarm: command: uvx args: ["verdictswarm-mcp"] env: VS_API_KEY: your_key_here

No API Key?

The server works without a key at free-tier limits (10 scans/day, basic scores only). Get a key at verdictswarm.ai for full access.

Tools

Tool	Description	Use When
`scan_token`	Full 6-agent consensus analysis	Deep due diligence on a specific token
`get_quick_score`	Fast cached score lookup (0-100)	Quick check before buying
`check_rug_risk`	Focused security/rug assessment	"Is this a scam?"
`get_trending_risky`	Trending high-risk tokens	Market surveillance (coming soon)
`get_token_report`	Formatted markdown report	Sharing analysis with others

Example: Quick Score

User: What's the risk score for BONK? Agent: [calls get_quick_score("DezXAZ8z7PnrnRJjz3wXBoRgixCa6xjnB7YaB1pPB263")] → Score: 74/100 (Grade B) — LOW-MEDIUM risk

Example: Rug Check

User: Is this new memecoin safe? 7xKXtg2CW87d97TXJSDpbD5jBkheTqA83TZRuJosgAsU Agent: [calls check_rug_risk("7xKXtg...")] → DANGER 🚨 Liquidity NOT burned or locked ⚠️ Mint authority active ⚠️ Token is less than 24 hours old ⚠️ Bundle/sniper activity detected

Resources & Prompts

Resources (reference data for agents):

verdictswarm://help — Tool usage guide
verdictswarm://scoring — Score interpretation (0-100 scale, grades A-F)

Prompts (pre-built workflows):

should_i_buy(token_address) — Full investment analysis with recommendation
portfolio_check(tokens) — Batch risk assessment across holdings

Supported Chains

Chain	Status
Solana	✅ Full support
Ethereum	✅ Full support
Base	✅ Full support
BSC	✅ Full support

Scoring Guide

Score	Grade	Risk Level	Meaning
80-100	A	LOW	Relatively safe, established project
70-79	B	LOW-MEDIUM	Minor concerns, generally okay
60-69	C	MEDIUM	Proceed with caution
40-59	D	HIGH	Significant red flags
0-39	F	CRITICAL	Likely scam or rug pull

Configuration

Environment Variable	Default	Description
`VS_API_KEY`	(empty — free tier)	Your VerdictSwarm API key
`VS_API_URL`	`https://verdictswarm-production.up.railway.app`	API base URL
`VS_TIMEOUT`	`120`	Request timeout in seconds

Architecture

MCP Client (Claude, Cursor, OpenClaw, Codex...) │ │ MCP Protocol (stdio) ▼ ┌──────────────────────────┐ │ VerdictSwarm MCP Server │ ← This package (thin wrapper) │ FastMCP + Python │ └──────────┬───────────────┘ │ HTTP (httpx) ▼ ┌──────────────────────────┐ │ VerdictSwarm API │ ← Existing backend (Railway) │ 6 AI agents + on-chain │ └──────────────────────────┘

The MCP server is a stateless wrapper — all intelligence lives in the VerdictSwarm API. This means:

Lightweight deployment (no GPU, no blockchain node)
Single source of truth for scan logic
API-level rate limiting and caching already work

Development

git clone https://github.com/vswarm-ai/verdictswarm.git cd verdictswarm/mcp-server pip install -e ".[dev]" pytest # 47 tests, ~0.3s

License

MIT — see LICENSE.

VerdictSwarm MCP Server

🔍 VerdictSwarm MCP Server

Why?

Quick Start

Install & Run

Claude Desktop

OpenClaw

No API Key?

Tools

Example: Quick Score

Example: Rug Check

Resources & Prompts

Supported Chains

Scoring Guide

Configuration

Architecture

Development

License

Links

Resources

Tools

New MCP Servers

Latest Blog Posts

MCP directory API