How to Use the Corescan (Core DAO Blockchain Explorer) MCP in LlamaIndex

Q: How does LlamaIndex handle large contract files from Corescan (Core DAO Blockchain Explorer)?

You should use a text splitter on the output of getcontractsourcecode. This chunks the smart contract code into manageable pieces before embedding them, preventing token limit issues during retrieval.

Q: Can I monitor Core DAO gas or price trends using this MCP server?

Yes, you can periodically call getlastprice to fetch the latest CORE market value. Indexing these price points over time lets your agent analyze price trends alongside on-chain transaction volume.

Build LlamaIndex RAG applications that index Core DAO blockchain data for semantic search.

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Connect Corescan (Core DAO Blockchain Explorer) MCP to LlamaIndex

Create your Vinkius account to connect Corescan (Core DAO Blockchain Explorer) 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 Corescan (Core DAO Blockchain Explorer) with LlamaIndex

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Index Core DAO Contract Code for Semantic Search

Turn raw blockchain data into a queryable knowledge base. Using LlamaIndex, you can fetch verified contract details with `get_contract_source_code` and `get_contract_abi`, then index them into a local vector store. This lets your agent answer complex architectural questions about Core DAO dApps. Instead of searching through explorer pages, users query the index. The agent retrieves the relevant code snippets and explains the contract logic. It makes onboarding developers to your Core DAO project significantly faster.

Search Core DAO Transaction Histories with LlamaIndex

Transaction logs are hard to parse in their raw form. This MCP Server lets your LlamaIndex agent fetch transaction histories via `get_normal_transactions` and `get_internal_transactions`, indexing the results immediately. Once indexed, you can perform semantic queries over wallet histories. Ask your agent to find transactions related to specific smart contract interactions without writing custom SQL or block-parser code.

Track Core DAO Network Metrics Dynamically

Keep your knowledge base updated with live network health metrics. By calling `get_total_supply` and `get_block_countdown`, your LlamaIndex pipeline can ingest the latest Core DAO network state directly into its index using this MCP connection. This ensures that your RAG application always answers with accurate, real-time context. The agent can compare current block rewards from `get_block_reward` against historical indexed data to show trends in network participation.

Setup guide

Set up Corescan (Core DAO Blockchain Explorer) 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 Corescan (Core DAO Blockchain Explorer) 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 Corescan (Core DAO Blockchain Explorer) tools.",
)
response = await agent.run("List recent Corescan (Core DAO Blockchain Explorer) 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 Corescan. 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 Corescan (Core DAO Blockchain Explorer) MCP in LlamaIndex

You load the tool outputs into LlamaIndex Document objects before indexing. Run `get_erc20_transfers` or `get_contract_source_code`, pass the raw string output to your ingestion pipeline, and generate embeddings for semantic search.

Yes, you can register the MCP tools directly with a LlamaIndex FunctionAgent. The agent decides when to query live data using `get_account_balance` or when to fall back on indexed historical data.

You should use a text splitter on the output of `get_contract_source_code`. This chunks the smart contract code into manageable pieces before embedding them, preventing token limit issues during retrieval.

Yes, you can periodically call `get_last_price` to fetch the latest CORE market value. Indexing these price points over time lets your agent analyze price trends alongside on-chain transaction volume.

This integration only reads public ledger data, such as transaction receipts and event logs. Your private indexing environment handles all vector embeddings locally, ensuring no sensitive queries or wallet addresses are leaked outside your local setup.

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