Tenderly (Ethereum Dev Platform) MCP Server for LangChainGive LangChain instant access to 4 tools to Create Alert, Create Virtual Testnet, Simulate Bundle, and more

Name: Tenderly (Ethereum Dev Platform)
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Tenderly (Ethereum Dev Platform) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

Open in ChatGPT Open in Claude Open in Perplexity

The Tenderly (Ethereum Dev Platform) MCP Server for LangChain is a standout in the Developer Tools category — giving your AI agent 4 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "tenderly-ethereum-dev-platform": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Tenderly (Ethereum Dev Platform), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

About 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.

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.

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.

The Tenderly (Ethereum Dev Platform) MCP Server exposes 4 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 4 Tenderly (Ethereum Dev Platform) tools available for LangChain

When LangChain connects to Tenderly (Ethereum Dev Platform) through Vinkius, your AI agent gets direct access to every tool listed below — spanning smart-contracts, ethereum, transaction-simulation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create alert on Tenderly (Ethereum Dev Platform)

Expression types include method_call, state_change, tx_value, emitted_log, eth_balance. Create an alert on Tenderly

create

Create virtual testnet on Tenderly (Ethereum Dev Platform)

Create a Virtual TestNet on Tenderly

simulate

Simulate bundle on Tenderly (Ethereum Dev Platform)

Simulate a bundle of transactions on Tenderly

simulate

Simulate transaction on Tenderly (Ethereum Dev Platform)

Simulate a transaction on Tenderly

Connect Tenderly (Ethereum Dev Platform) to LangChain via MCP

Follow these steps to wire Tenderly (Ethereum Dev Platform) into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 4 tools from Tenderly (Ethereum Dev Platform) via MCP

Why Use LangChain with the Tenderly (Ethereum Dev Platform) MCP Server

LangChain provides unique advantages when paired with Tenderly (Ethereum Dev Platform) through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Tenderly (Ethereum Dev Platform) MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Tenderly (Ethereum Dev Platform) queries for multi-turn workflows

Tenderly (Ethereum Dev Platform) + LangChain Use Cases

Practical scenarios where LangChain combined with the Tenderly (Ethereum Dev Platform) MCP Server delivers measurable value.

RAG with live data: combine Tenderly (Ethereum Dev Platform) tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Tenderly (Ethereum Dev Platform), synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Tenderly (Ethereum Dev Platform) tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Tenderly (Ethereum Dev Platform) tool call, measure latency, and optimize your agent's performance

Example Prompts for Tenderly (Ethereum Dev Platform) in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Tenderly (Ethereum Dev Platform) immediately.

"Simulate a transaction on Ethereum Mainnet from 0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045 to 0x7a250d5630B4cF539739dF2C5dAcb4c659F2488D with data 0x095ea7b3..."

"Create a Virtual TestNet named 'Staging-Fork' forked from Mainnet at the latest block."

"Set up an alert to notify me whenever the 'transfer' method is called on contract 0x123..."

Troubleshooting Tenderly (Ethereum Dev Platform) MCP Server with LangChain

Common issues when connecting Tenderly (Ethereum Dev Platform) to LangChain through Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Tenderly (Ethereum Dev Platform) + LangChain FAQ

Common questions about integrating Tenderly (Ethereum Dev Platform) MCP Server with LangChain.

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.