Bring Smart Contracts
to LangChain
Learn how to connect Tenderly (Ethereum Dev Platform) to LangChain and start using 4 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Tenderly (Ethereum Dev Platform) MCP Server?
Connect your Tenderly account to any AI agent to streamline your Ethereum development workflow. This MCP server allows you to debug, simulate, and monitor smart contracts through natural language.
What you can do
- Transaction Simulation — Simulate single transactions or complex bundles on any supported network without committing real assets or spending gas.
- Virtual TestNets — Create and manage private mainnet replicas (Virtual TestNets) to test your dApps in a production-like environment with custom configurations.
- On-Chain Monitoring — Set up sophisticated alerts for method calls, state changes, or value transfers to stay informed about blockchain activity in real-time.
- Bundle Execution — Test sequences of transactions to see how they interact, perfect for debugging complex DeFi protocols or multi-step workflows.
How it works
- Subscribe to this server
- Provide your Tenderly Access Key, Account Slug, and Project Slug
- Start simulating transactions and managing testnets from Claude, Cursor, or any MCP client
Who is this for?
- Smart Contract Engineers — debug transactions and verify contract behavior before deployment.
- DeFi Researchers — simulate complex multi-step transactions to analyze protocol interactions.
- Web3 DevOps — monitor production contracts and manage private testing environments seamlessly.
Built-in capabilities (4)
Expression types include method_call, state_change, tx_value, emitted_log, eth_balance. Create an alert on Tenderly
Create a Virtual TestNet on Tenderly
Simulate a bundle of transactions on Tenderly
Simulate a transaction on Tenderly
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Tenderly (Ethereum Dev Platform) through native MCP adapters. Connect 4 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine Tenderly (Ethereum Dev Platform) MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Tenderly (Ethereum Dev Platform) queries for multi-turn workflows
Tenderly (Ethereum Dev Platform) in LangChain
Tenderly (Ethereum Dev Platform) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Tenderly (Ethereum Dev Platform) to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Tenderly (Ethereum Dev Platform) in LangChain
The Tenderly (Ethereum Dev Platform) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 4 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Tenderly (Ethereum Dev Platform) for LangChain
Every tool call from LangChain to the Tenderly (Ethereum Dev Platform) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I simulate a transaction without spending real ETH or gas?
Yes! Use the simulate_transaction tool. It runs the transaction against the latest state of the network in a virtual environment, providing full trace and results without any on-chain cost.
How do I create a private fork of Ethereum for testing?
You can use the create_virtual_testnet tool. Provide a slug, display name, and the network ID you want to fork from (e.g., 1 for Mainnet) to spin up a private RPC endpoint.
Can I monitor specific smart contract events automatically?
Absolutely. Use the create_alert tool with an alert_config object to monitor method calls, state changes, or emitted logs on any contract address.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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