Tenderly MCP. Test Ethereum Logic Without Spending Gas
Tenderly (Ethereum Dev Platform) MCP connects your AI agent directly to Ethereum development tools. Simulate transactions and full transaction bundles without spending gas or touching live funds. You can build private virtual test networks, monitor specific on-chain events in real time, and validate complex contract logic before deployment.
Give Claude and any AI agent real-world access
Simulate single transactions or complex groupings of actions without spending any real gas.
Create and manage virtual replicas of the main Ethereum network for isolated testing.
Set up alerts to get real-time notifications when specific contract events happen on the chain.
Run sequences of transactions together to see how complex protocols interact.
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What AI agents can do with Tenderly (Ethereum Dev Platform) MCP with 4 Tools
These four tools let you fully debug, simulate, and monitor Ethereum contract behavior using natural language commands.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Tenderly (Ethereum Dev Platform) MCPCreate Alert
Set up real-time monitoring to notify you whenever a defined blockchain event occurs on Tenderly.
Create Virtual Testnet
Instantly spin up a private, isolated copy of the Ethereum network for controlled...
Simulate Bundle
Run and evaluate multiple transactions as a single group to test complex workflow...
Simulate Transaction
Perform a dry run of any single transaction, showing you the resulting state changes...
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on each call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Tenderly (Ethereum Dev Platform), then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,200+ others, all in one place
- Add new capabilities to your AI anytime you want
- Connections are secured and governed automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog weekly
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Tenderly. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS CLOUD
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on each call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Debugging Ethereum Contracts Used To Be Painful
Today, testing a smart contract means setting up local forks, manually calling functions one by one across multiple terminal windows, and constantly worrying about which gas token you'll accidentally spend on the wrong test. You copy data from one dashboard into a spreadsheet just to track state changes.
Now, your agent handles all that mess. By connecting this MCP, you simply tell your AI client what needs testing—whether it’s a single transfer or a whole suite of interactions. The result is an instant report showing the outcome and gas consumption, letting you focus purely on the logic.
Simulate Transactions with Tenderly MCP
You no longer need to deploy a full local fork just to check if an approval function works. You don't have to spend time managing complex test accounts or worrying about gas costs for minor checks.
With this MCP, you initiate the dry run from your chat interface and get immediate feedback on state changes. It’s that simple.
What Tenderly MCP does for your AI
Need to debug smart contracts? This MCP lets you simulate any Ethereum action—from a single token transfer to a massive, multi-step DeFi protocol interaction—without spending gas or committing actual assets. Your agent handles the heavy lifting, allowing you to test code logic in an environment that feels exactly like mainnet.
Want to test your dApp against live production conditions? You can spin up private virtual networks that mimic Mainnet at any specific block height. If you're working with complicated contract interactions, you can also simulate entire bundles of transactions together just to see how they play out. Plus, set up advanced alerts for specific method calls or state changes, keeping you instantly informed about critical blockchain activity.
It’s a powerful debugging suite that connects easily through Vinkius, so connecting your favorite AI client is straightforward.
019e38f8-f322-72a6-82c6-88d0ff795ba8 How to set up Tenderly MCP
The bottom line is: you talk to your agent using natural language, and it handles all the complex blockchain setup and execution for you.
First, subscribe to this MCP and provide your specific Tenderly access credentials: the Access Key, Account Slug, and Project Slug.
Next, tell your AI client exactly what you need. Do you want to simulate a transfer? Should you set up an alert for a state change? Or maybe create a virtual test network?
The MCP executes the request on Tenderly and returns the results—whether that's a successful simulation report or confirmation that your private TestNet is ready.
Who uses Tenderly MCP
Smart Contract Engineers who hate writing boilerplate test scripts. DeFi Researchers who need to model highly specific, multi-step protocol interactions. Web3 DevOps teams managing production monitoring.
Debugging a payment contract means simulating thousands of possible inputs and verifying every edge case before deployment.
Analyzing how three different protocols interact requires running multi-step transaction bundles to trace funds accurately.
Monitoring a live production contract means setting up alerts for specific method calls, ensuring immediate notification when things go wrong.
Benefits of connecting Tenderly MCP
Stop wasting time on basic testing. Use simulate_transaction to run dry simulations of any transfer or call, confirming contract behavior before you deploy anything.
Need a clean slate for development? With create_virtual_testnet, your agent builds private mainnet replicas so you can test against custom configurations without affecting production data.
Forget manually checking logs. Use create_alert to monitor specific method calls or state changes, getting instant notification the moment an event happens on-chain.
Complex DeFi logic demands more than one step. Running a full sequence via simulate_bundle lets you test multi-protocol interactions as if they happened live.
Your agent manages all this complexity across multiple tools, giving you full visibility into transaction lifecycles from a single prompt.
Tenderly MCP use cases
Debugging an approval flow
A smart contract engineer needs to verify if an ERC20 token will successfully approve funds for a new router address. They ask their agent to simulate_transaction on the specific addresses and data, instantly seeing the resulting Approval event without using real test tokens.
Testing a new protocol version
A DeFi researcher is building out a concept that needs Mainnet conditions but shouldn't touch live funds. They instruct their agent to create_virtual_testnet forked from the current Mainnet block, giving them a safe space to test complex interactions.
Monitoring for fraud
A Web3 DevOps team suspects a key contract is being misused. They ask their agent to create_alert specifically watching for unauthorized value transfers or state changes on that contract, getting immediate alerts 24/7.
Validating multi-signature governance
A team needs to ensure a sequence of three different committee votes works correctly. They use simulate_bundle to run the entire flow in one go, ensuring that the transactions don't conflict and finalize successfully.
Tenderly MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Manual contract testing
Writing dozens of separate test files for every minor change. This is slow, repetitive, and often misses complex interaction bugs.
Instead, let your agent use simulate_transaction or simulate_bundle. You define the desired outcome once, and the MCP runs the dry test multiple times to cover all variables.
Ignoring dependencies
Testing a protocol's final step without considering how the previous two steps set up the required state or tokens.
Always use simulate_bundle. Grouping transactions allows you to validate the entire dependency chain in one single, accurate run.
When to use Tenderly MCP
Use this MCP if your primary workflow involves deep contract debugging, testing complex state changes, or monitoring live blockchain activity. If you need to know what happens when a transaction runs—without actually spending gas—this is the tool. You'll use it for single-point validation (simulate_transaction), multi-step logic checking (simulate_bundle), or continuous oversight (create_alert). Don't use this if you just need to read historical data; for that, look at a simple block explorer API connector. Also, don't use it if your goal is writing the contract itself; this MCP only tests what already exists.
Frequently asked questions about Tenderly MCP
Can I use Tenderly (Ethereum Dev Platform) MCP to test transactions? +
Yes, you can simulate any single transaction or a group of them using simulate_transaction or simulate_bundle. This runs the test without spending actual gas.
What is a Virtual TestNet in Tenderly (Ethereum Dev Platform) MCP? +
A Virtual TestNet lets you create a private, temporary copy of the Ethereum network. You can use this environment to test your dApp against production-like conditions safely.
Does Tenderly (Ethereum Dev Platform) MCP require actual funds? +
No. The entire purpose of this MCP is simulation and monitoring, so you never risk spending real assets or gas fees while developing.
How do I monitor live events with Tenderly (Ethereum Dev Platform) MCP? +
You use the create_alert tool. You specify exactly what event or state change you want to track, and your agent handles setting up the persistent monitoring.
Is Tenderly (Ethereum Dev Platform) MCP compatible with all AI clients? +
Yes, because it's an open standard through Vinkius, any MCP-compatible client like Cursor or Claude can connect to and use its tools.