How to Use the Aptoscan (Aptos Blockchain Explorer API) MCP in LlamaIndex

Q: How do I filter tools in LlamaIndex for Aptoscan (Aptos Blockchain Explorer API)?

The client allows you to pass an allowedtools list. You restrict the agent to only use the specific tools required for your RAG pipeline.

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Connect Aptoscan (Aptos Blockchain Explorer API) MCP to LlamaIndex

Create your Vinkius account to connect Aptoscan (Aptos Blockchain 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 Aptoscan (Aptos Blockchain Explorer API) with LlamaIndex

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Ground LlamaIndex answers in Aptos data

Turn your `get_account_resources` output into searchable knowledge. LlamaIndex ingests these results into your vector store for semantic retrieval. Your agent stops guessing. It answers queries based on current on-chain facts retrieved through `get_token_data` or `get_transaction_by_hash`.

Query past Aptoscan results within LlamaIndex

Build RAG apps that combine documents with live blockchain state. You search across historical `get_block_by_version` data alongside your own private files. This creates a unified index. Your agent retrieves information from both sources to provide grounded, evidence-based answers.

Automate Aptos data indexing for LlamaIndex

Use `to_tool_list_async` to fetch tools and set up automated ingestion pipelines. You filter specific tools to keep your index focused on relevant chain activities. Efficiency matters when building RAG. Only the necessary data from the blockchain hits your vector database, keeping your search space clean.

Setup guide

Set up Aptoscan (Aptos Blockchain 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 Aptoscan (Aptos Blockchain 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 Aptoscan (Aptos Blockchain Explorer API) tools.",
)
response = await agent.run("List recent Aptoscan (Aptos Blockchain Explorer API) data")

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Common questions about Aptoscan (Aptos Blockchain Explorer API) MCP in LlamaIndex

It bridges the gap between static documents and live chain data. You get answers that reflect the current state of the Aptos network.

Yes, if you configure it to index the output. The tool results are vectorized and stored in your defined vector database for later retrieval.

The client allows you to pass an allowed_tools list. You restrict the agent to only use the specific tools required for your RAG pipeline.

Absolutely. Use the async tool list method to ensure your indexing process doesn't block other agent operations.

The data itself is public blockchain information. We secure the connection via an endpoint token and ensure your local index remains under your control.

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