
Connect Mev Sandwich Detection Strategy to your AI
Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Stop front-running bots from stealing your DEX trade value.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Your AI does the work. We keep it safe and sound.
No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.
Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

Each Connector runs inside its own sealed environment.
Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.
One switch stops every agent. Instantly.
One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.
Spending limits that pause instead of surprise.
Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.
Three controls, built into the layer your AI connects through.
Curated set · 3 capabilities
We ship only the actions that matter.
01-03
3 capabilities in this set.
Part of 3 available through MEV Detection Strategy.
- 01
Detect sandwich pattern
Identifies if a specific transaction was a victim of a sandwich attack. It looks for the signature front-running and back-running bot patterns.
- 02
Analyze sandwich statistics
Provides aggregate metrics on how often sandwich attacks occur and which tokens are being targeted most frequently.
- 03
Evaluate protection strategy
Assesses the risk of a specific token or trade. It tells you if you should avoid a trade based on current MEV threat levels.
Real work
What teams actually run
Post-Trade Analysis
Check a completed transaction to see if you were the victim of a sandwich attack.
Pre-Trade Risk Check
Ask your agent if a specific token is currently being targeted by MEV bots.
Market Monitoring
Use aggregate statistics to monitor the intensity of attacks on certain DEX pools.
Slippage Control
Get recommendations on how to adjust trades to avoid being sandwiched.
One connector, every AI
MEV Detection Strategy works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put MEV Detection Strategy to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
Observed, not estimated
859ms average. Fast in production.
MEV Detection Strategy is checked daily against the live service.
- Fastest day
- 678ms
- Slowest day
- 1035ms
- 14-day trend
- Improving-8%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of MEV Detection Strategy, so you can see the experience inside your AI.
It does not authenticate your account with MEV Detection Strategy. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
MEV Detection Strategy Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_xmoaCRBDSwn307tpjcg6Vj7maGya68PJJjgCoPYR/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — MEV Detection Strategy capabilities are ready to use.
{
"mcpServers": {
"mev-sandwich-detection-strategy-mcp": {
"url": "https://edge.vinkius.com/vk_preview_xmoaCRBDSwn307tpjcg6Vj7maGya68PJJjgCoPYR/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Guided setup for Claude? Set up MEV Detection Strategy in Claude and other AIs
Who it's for
Built for the work MEV Detection Strategy owners hand off.
This MCP is built for anyone interacting with decentralized finance protocols who wants to protect their capital from automated bots.
- 01
DeFi Traders
They use the capability to check if a token is safe to trade before executing orders.
- 02
Smart Contract Auditors
They use the statistical capabilities to analyze attack patterns in specific liquidity pools.
- 03
Algorithmic Traders
They hand off risk assessment tasks to their AI agent to avoid high-risk environments.
FAQ
Questions MEV Detection Strategy owners ask.
- 01
How does this MCP detect sandwich attacks?
It uses specific capabilities to look for the transaction patterns created by front-running and back-running bots.
- 02
Can I use this with Claude or Cursor?
Yes, you can connect this MCP to any MCP-compatible client like Claude, Cursor, or Windsurf.
- 03
What kind of data does it provide for tokens?
It provides aggregate statistics on attack frequency and risk levels for specific tokens.
- 04
Does this help reduce slippage?
Yes, by evaluating protection strategies, it helps you avoid trades that are likely to be targeted by bots.
- 05
Is this for Ethereum specifically?
The capability is designed for DEX security and includes tags for Ethereum and general MEV protection.
- 06
How do I know if a transaction was a sandwich attack?
You can use the detect_sandwich_pattern capability with your transaction and mempool data to confirm if a sandwich pattern occurred.
- 07
Can this capability help me avoid MEV?
Yes, evaluate_protection_strategy provides specific advice, such as adjusting slippage tolerance or using private RPCs, to mitigate risk.
- 08
What metrics does the statistics capability provide?
The analyze_sandwich_statistics capability returns the frequency of attacks per 1000 transactions, average profit per attack, and a list of most affected tokens.
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Connect MEV Detection Strategy to Claude, Cursor, ChatGPT & more
