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How to Use the Blockscout MCP in LlamaIndex

Index live Blockscout blockchain data into LlamaIndex vector stores to ground your RAG applications in real-time EVM state via this MCP Server.

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LlamaIndex

Connect Blockscout MCP to LlamaIndex

Create your Vinkius account to connect Blockscout 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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Index live EVM data into LlamaIndex

Stop letting your LLM hallucinate transaction details. The `get_transaction` tool pulls raw transaction records directly into your active LlamaIndex document store. By feeding live outputs from `get_block` into your index, you ensure your RAG pipelines search against actual blockchain state. No stale database syncs required.

Search smart contracts semantically

Use `get_contract_source_code` to pull smart contract files directly into your vector store. Your agent can then run semantic searches over actual deployed Solidity code. This MCP Server lets your LlamaIndex agent explain complex on-chain logic to users based on real source files, not guesses. Combined with `get_contract_abi`, your pipeline dynamically parses contract structures during runtime.

Vectorize wallet portfolio histories

Pull complete wallet profiles using `get_address` and `list_token_balances` directly. LlamaIndex indexes these balances so your agent can query past wallet states semantically. If you need to trace internal fund movements, `get_account_internal_transactions` provides the raw history. The framework structures this data into queryable nodes instantly.

Setup guide

Set up Blockscout MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

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

  2. 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. 3

    Convert to LlamaIndex tools

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

  4. 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 Blockscout tools.",
)
response = await agent.run("List recent Blockscout data")

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

Run `pip install llama-index-tools-mcp` to get the required library. Initialize the `BasicMCPClient` with your Vinkius URL, convert it to a tool spec, and pass it to your `FunctionAgent`.
Yes, you can restrict access. Use the `allowed_tools` filter when setting up `McpToolSpec` to only expose specific tools like `get_account_balance` to your agent.
The `get_account_transactions` tool fetches raw transaction arrays. LlamaIndex chunks this data into document nodes, making it easy to index and search without hitting LLM context limits.
Yes, your agent can call `get_contract_abi` on demand. This lets the pipeline dynamically parse and index contract structures during runtime.
Only public on-chain records, wallet addresses, and contract ABIs are processed. Vinkius executes the server in an isolated sandbox, keeping your private local indices completely secure.

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