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VerdictSwarm MCP Server

@sentien-labs

Repository

Basic information

Category

Finance & Commerce

Transports

stdio

Author

sentien-labs

Submitted by

Harrison

About VerdictSwarm MCP Server

Fight AI with AI. 6 adversarial AI agents debate crypto token risk before your agent trades. Rug-pull detection, security audits, consensus scoring. Supports Solana, Ethereum, Base, BSC. Free tier available.

#crypto#security#defi#solana#ethereum#rug-pull#token-scanner#ai-agents

VerdictSwarm MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

VerdictSwarm MCP Server tools

6

Full 6-agent consensus risk scan

Fast cached score (0-100) for pre-trade screening

Rug-pull focused security check

Shareable markdown report

View pricing and payment details

Verify USDC payment on Solana

Overview

What is VerdictSwarm MCP Server?

VerdictSwarm MCP Server is a security layer for AI agents that handle financial transactions. It provides a multi-agent consensus system to scan tokens for risk, delivering scores and reports via MCP tools.

How to use VerdictSwarm MCP Server?

Install with pip install verdictswarm-mcp. Use the provided tools (e.g., scan_token, get_quick_score) to perform risk scans. A free tier offers 10 scans per day; paid usage can be managed via get_pricing and verify_payment.

Key features of VerdictSwarm MCP Server

  • 6-agent consensus risk scanning (scan_token)
  • Fast cached score (0–100) for pre-trade screening
  • Rug-pull focused security check (check_rug_risk)
  • Shareable markdown token report
  • Pricing and payment details via get_pricing
  • USDC payment verification on Solana

Use cases of VerdictSwarm MCP Server

  • Pre-trade token risk screening for AI trading agents
  • Automated rug-pull detection before executing a swap
  • Generating compliance reports for token investments
  • Integrating threat intelligence into agent workflows

Frequently asked questions

1

What does VerdictSwarm MCP Server do?

It provides a multi-agent consensus security scan for tokens, giving AI agents confidence before touching money. It outputs risk scores, rug-pull indicators, and shareable reports.

2

Is there a free tier?

Yes, the free tier allows 10 scans per day. Additional usage requires payment via USDC on Solana, viewable with the `get_pricing` tool.

3

How do I install VerdictSwarm MCP Server?

Install it via pip: `pip install verdictswarm-mcp`. Then configure your MCP host with the server's command and any required API keys (not detailed in the README).

4

What transports or auth does it use?

It uses the Model Context Protocol (MCP). Specific transport (stdio/SSE) and authentication are not detailed in the provided README.

5

Where do the token risk assessments come from?

The README states it uses a “6-agent consensus” and cached scoring, but does not specify whether data sources are on-chain, off-chain, or a combination.

Comments

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