How to Use the Bobascan (Boba L2 Network Block Explorer API) MCP in LlamaIndex

Q: Can I index smart contract ABIs using Bobascan (Boba L2 Network Block Explorer API) and LlamaIndex?

Yes. Your agent fetches the ABI using getabi and indexes it directly into your vector store. This lets you query contract structures semantically to find specific function signatures.

Q: How do I query live balances using Bobascan (Boba L2 Network Block Explorer API) in my LlamaIndex RAG application?

The agent calls getetherbalance on demand for real-time queries, bypassing the static index. This ensures your agent always serves fresh wallet balances alongside historical indexed data.

Q: What is the quickest way to configure this MCP Server inside LlamaIndex?

Install llama-index-tools-mcp and initialize the BasicMCPClient with the Vinkius server URL. Convert the client to tools using McpToolSpec and pass them directly to your FunctionAgent.

Index Boba L2 blockchain data directly into your LlamaIndex vector stores for semantic querying.

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Connect Bobascan (Boba L2 Network Block Explorer API) MCP to LlamaIndex

Create your Vinkius account to connect Bobascan (Boba L2 Network 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 Bobascan (Boba L2 Network Block Explorer API) with LlamaIndex

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Index block rewards and network countdowns

The `get_block_reward` tool gets details on block production rewards directly into your LlamaIndex ingestion pipeline. Your pipeline formats this data as documents, while `get_block_countdown` tracks estimated times for future blocks. From there, your agent queries this index to answer complex temporal questions about the Boba L2 network without making repetitive API calls.

Search smart contract code using natural language

The `get_source_code` tool pulls verified solidity code from the Boba L2 blockchain into your indexing pipeline. LlamaIndex chunks this code, runs it through an embedding model, and stores it in your vector database. This lets your agent locate specific function implementations across dozens of contracts. You query the database semantically instead of manually reading through thousands of lines of raw code.

Use an MCP Server to index ERC721 transfers

The `get_token_nft_tx` tool gets ERC721 token transfer events for any specified address on the Boba L2 network. LlamaIndex indexes these transfer events, creating a searchable history of NFT movements. Your agent uses this indexed data to find correlations between different wallets. By combining live blockchain queries with semantic search, you turn raw transaction logs into structured knowledge.

Setup guide

Set up Bobascan (Boba L2 Network 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 Bobascan (Boba L2 Network 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 Bobascan (Boba L2 Network Block Explorer API) tools.",
)
response = await agent.run("List recent Bobascan (Boba L2 Network Block Explorer API) data")

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Common questions about Bobascan (Boba L2 Network Block Explorer API) MCP in LlamaIndex

Yes. Your agent fetches the ABI using `get_abi` and indexes it directly into your vector store. This lets you query contract structures semantically to find specific function signatures.

You can configure the MCP tool spec to throttle requests or use LlamaIndex's built-in retry mechanisms. This ensures your data ingestion pipelines stay stable even when pulling large volumes of transaction histories.

The agent calls `get_ether_balance` on demand for real-time queries, bypassing the static index. This ensures your agent always serves fresh wallet balances alongside historical indexed data.

Install `llama-index-tools-mcp` and initialize the `BasicMCPClient` with the Vinkius server URL. Convert the client to tools using `McpToolSpec` and pass them directly to your `FunctionAgent`.

This server only retrieves public blockchain records, such as transaction lists, ERC20 balances, and logs. No private keys or wallet credentials are ever accessed or stored by the Vinkius sandbox.

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