Tenderly (Ethereum Dev Platform) MCP Server for LlamaIndexGive LlamaIndex 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

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Tenderly (Ethereum Dev Platform) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Tenderly (Ethereum Dev Platform). "
            "You have 4 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Tenderly (Ethereum Dev Platform)?"
    )
    print(response)

asyncio.run(main())

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* 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.

LlamaIndex agents combine Tenderly (Ethereum Dev Platform) tool responses with indexed documents for comprehensive, grounded answers. Connect 4 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

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

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

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

Data-first architecture: LlamaIndex agents combine Tenderly (Ethereum Dev Platform) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Tenderly (Ethereum Dev Platform) tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Tenderly (Ethereum Dev Platform), a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Tenderly (Ethereum Dev Platform) tools were called, what data was returned, and how it influenced the final answer

Tenderly (Ethereum Dev Platform) + LlamaIndex Use Cases

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

Hybrid search: combine Tenderly (Ethereum Dev Platform) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Tenderly (Ethereum Dev Platform) to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Tenderly (Ethereum Dev Platform) for fresh data

Analytical workflows: chain Tenderly (Ethereum Dev Platform) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Tenderly (Ethereum Dev Platform) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Tenderly (Ethereum Dev Platform) + LlamaIndex FAQ

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

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Tenderly (Ethereum Dev Platform) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.