How to Use the Etherscan MCP in LlamaIndex

Q: How do I hook up the Etherscan MCP Server to my LlamaIndex pipeline?

Install llama-index-tools-mcp and instantiate the MCP client with your Vinkius endpoint to connect to Etherscan. Convert the client into a tool spec using McpToolSpec and pass those Etherscan tools to your LlamaIndex FunctionAgent.

Q: Can I search historical ERC-1155 transfers using LlamaIndex and Etherscan?

Yes, you can query the Etherscan gettoken1155tx tool to pull transfer logs and index them directly into a LlamaIndex vector store. This lets your LlamaIndex RAG pipeline answer complex questions about multi-token Ethereum transfers and ownership changes.

Q: How does LlamaIndex handle large transaction histories from Etherscan?

The Etherscan gettxlist tool caps outputs at 10,000 records to prevent LlamaIndex context window overflow. LlamaIndex tokenizes and chunks this transaction data before indexing, making it easy to search through massive Ethereum transaction histories.

Q: Can I verify contract source code directly through LlamaIndex and Etherscan?

Yes, the Etherscan verifysourcecode tool allows your LlamaIndex agent to submit verification requests directly to the API. Your LlamaIndex application can monitor the verification status and index the resulting verified Ethereum source code as soon as it becomes available.

Index live Ethereum contract ABIs and transaction data from Etherscan into LlamaIndex vector stores for semantic search and audit lookups.

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Connect Etherscan MCP to LlamaIndex

Create your Vinkius account to connect Etherscan to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Etherscan with LlamaIndex

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Index Etherscan data directly into LlamaIndex

The Etherscan MCP Server provides `get_source_code` and `get_abi` to feed raw Ethereum smart contract structures straight into your LlamaIndex document pipeline. Your LlamaIndex indexing agent converts raw Solidity files from Etherscan into searchable vector embeddings for semantic code lookup. Instead of searching flat text files, you query your LlamaIndex vector store to find specific function implementations or safety patterns across dozens of verified Etherscan contracts. This turns raw Ethereum code into a searchable, structured LlamaIndex knowledge base.

Ground LlamaIndex RAG pipelines in live Etherscan history

The `get_tx_list` and `get_token_tx` Etherscan tools fetch real-time transaction records to ground your LlamaIndex query engine in verifiable truth. When a user asks about recent Ethereum wallet activity, the LlamaIndex engine pulls actual transaction logs from Etherscan instead of guessing. This setup eliminates LlamaIndex hallucinations by forcing the LLM to synthesize answers directly from the JSON output of the Etherscan ledger. You get factual summaries of Ethereum wallet histories backed by immutable cryptographic proof in your LlamaIndex app.

Build automated LlamaIndex portfolio valuation indexes

The `get_balance_multi` and `get_eth_price` Etherscan tools let your LlamaIndex agent calculate real-time portfolio valuations across multiple target Ethereum addresses. The LlamaIndex agent fetches the raw balances from Etherscan, pulls the current spot price, and indexes the calculated values into your database. By running this LlamaIndex indexing pipeline on a schedule, you maintain a queryable history of Ethereum asset values. Your LlamaIndex users can ask natural language questions about portfolio trends and receive answers calculated from live Etherscan numbers.

Setup guide

Set up Etherscan MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Etherscan MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Etherscan tools.",
)
response = await agent.run("List recent Etherscan data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Etherscan. 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.

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Common questions about Etherscan MCP in LlamaIndex

Install `llama-index-tools-mcp` and instantiate the MCP client with your Vinkius endpoint to connect to Etherscan. Convert the client into a tool spec using `McpToolSpec` and pass those Etherscan tools to your LlamaIndex `FunctionAgent`.

Yes, you can query the Etherscan `get_token_1155_tx` tool to pull transfer logs and index them directly into a LlamaIndex vector store. This lets your LlamaIndex RAG pipeline answer complex questions about multi-token Ethereum transfers and ownership changes.

The Etherscan `get_tx_list` tool caps outputs at 10,000 records to prevent LlamaIndex context window overflow. LlamaIndex tokenizes and chunks this transaction data before indexing, making it easy to search through massive Ethereum transaction histories.

Yes, the Etherscan `verify_source_code` tool allows your LlamaIndex agent to submit verification requests directly to the API. Your LlamaIndex application can monitor the verification status and index the resulting verified Ethereum source code as soon as it becomes available.

The MCP server executes on Vinkius in an ephemeral sandbox that immediately discards queried Ethereum wallet addresses after LlamaIndex finishes indexing. No on-chain query parameters or contract source codes retrieved from Etherscan are permanently logged.

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