← Back to list

verdictswarm-mcp

MCP Server Memory Low risk

Fight AI with AI. The security layer for AI agents that touch money — 6 adversarial AI agents debate crypto token risk. MCP server for Claude, Cursor, OpenClaw, Codex.

以AI对抗AI。面向涉足金钱的AI代理的安全层——6个对抗性AI代理辩论加密货币代币风险。适用于Claude、Cursor、OpenClaw、Codex的MCP服务器。

How to install

No unified install command; see the repository README.

Recommendation signals

37 Tool quality · Based on stars, downloads, maintenance, security and docs
– User interest · Adjusted by in-site views, install copies and download clicks
37 Overall
0views
0unique visitors
0install copies
0download clicks
0outbound clicks

Meta

License
MIT
Language
Python
GitHub stars
2
mo. downloads
–
Last push
2026-08-03
Created
2026-02-19

Links

Basic safety check

Findings
curated 收录但无 npm 包/安装命令
Sources
curated:punkpeye/awesome-mcp-servers
Topics
agent-security, ai-agents, ai-security, base, crypto, crypto-security, defi, ethereum, mcp-server, model-context-protocol, open-source, openclaw, rug-pull, solana, token-scanner, verdictswarm, x402

Related plugins

DeepSeek Harness
Score98

hindsight

vectorize-io/hindsight/tree/main/hindsight-integrations/coding-agents

Hindsight, agent memory that learns: long-term project memory with auto recall and retain, knowledge pages, deep reflection, and per-repo memory banks.

☆ 27.7K ↓ 124.6K Memory ↗
MCP ServerClaude Code
Score91

firecrawl-mcp-server

firecrawl/firecrawl-mcp-server

🔥 Official Firecrawl MCP Server - Adds powerful web scraping and search to Cursor, Claude and any other LLM clients.

☆ 7.5K ↓ 126.7K Memory ↗
DeepSeek Harness
Score84

dsh-mnemon

omdsh-dev/dsh-mnemon

Cross-agent, local-first persistent memory plugin for DeepSeek Harness (DSH), powered by Mnemon. It shares long-term memory across Mnemon-enabled agents and adds runtime memory, searchable project documents, semantic recall, knowledge graph, and a Sidebar UI.

☆ 409 ↓ 36.1K Memory ↗
Claude Code
Score82

get-shit-done

gsd-build/get-shit-done

A light-weight and powerful meta-prompting, context engineering and spec-driven development system for Claude Code by TÂCHES.

☆ 64.5K ↓ 48.4K Memory ↗