How to Use the Aurorascan (Aurora Network L2 Block Explorer API) MCP in LlamaIndex

Index the Aurora L2 blockchain. Build knowledge-rich RAG applications with LlamaIndex that answer questions using real, verifiable on-chain data.

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Connect Aurorascan (Aurora Network L2 Block Explorer API) MCP to LlamaIndex

Create your Vinkius account to connect Aurorascan (Aurora Network L2 Block Explorer API) 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 Aurorascan (Aurora Network L2 Block Explorer API) with LlamaIndex

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Index the Aurora Blockchain

Turn transient blockchain data into a persistent, searchable knowledge base. Your LlamaIndex agent can use tools like `get_tx_list` and `get_logs` to fetch on-chain activity, and the results are automatically indexed into a vector store. Now you can ask questions in plain English about past events without hitting the API again. Query your agent for 'all ERC-721 mints from last month' and it will search its indexed history of `get_token_nft_tx` results to give you a grounded answer.

Ground Answers in On-Chain Facts

Eliminate agent hallucinations by backing every answer with hard data from the Aurora network. When you ask about a specific smart contract, your agent uses `get_source_code` and `get_abi` to fetch and index the actual source code and interface. This is how you build a reliable RAG bot for blockchain analysis. Your agent's knowledge isn't just its training data; it's a constantly updated index of real-time information from this MCP Server. When it tells you how a function works, it's because it has read the code.

Analyze Historical Contract State

Create a time-series index of a smart contract's state. You can configure a LlamaIndex agent to periodically call `proxy_get_storage_at` for important storage slots and index the results with a timestamp. This builds a complete history of how the contract's state has evolved. With this indexed data, you can ask questions that are impossible to answer with a single query. For example: 'What was the contract's admin address before the upgrade in block 10,500,000?' Your agent can find the answer instantly by searching its own knowledge base.

Setup guide

Set up Aurorascan (Aurora Network L2 Block Explorer API) 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 Aurorascan (Aurora Network L2 Block Explorer API) 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 Aurorascan (Aurora Network L2 Block Explorer API) tools.",
)
response = await agent.run("List recent Aurorascan (Aurora Network L2 Block Explorer API) 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 Aurorascan. 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 Aurorascan (Aurora Network L2 Block Explorer API) MCP in LlamaIndex

Use the Aurorascan tools to fetch data, like transaction lists or contract source code. LlamaIndex then automatically indexes this data. When you ask a question, the agent retrieves the relevant indexed data to ground its answer in facts.

Yes, that's the point. LlamaIndex ingests the output from the tools—like transaction data or logs—and indexes it in a vector store you control. This creates a searchable knowledge base of on-chain data.

You get a long-term, searchable memory of on-chain events. Instead of just getting a point-in-time answer from the API, you can ask complex questions about trends and historical activity that your agent answers from its indexed knowledge.

Absolutely. You can have it index your own documentation alongside data from Aurorascan tools like `get_source_code`. Then you can ask questions that require it to correlate your notes with actual on-chain contract code.

The server processes public on-chain information like contract ABIs and wallet balances. Vinkius keeps your activity private by running every request in a dedicated V8 Isolate sandbox. Your connection is authenticated with a single user token.

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