How to Use the Blockdaemon (Blockchain Infrastructure) MCP in LlamaIndex

Q: How do I filter tools for LlamaIndex?

Use the allowedtools parameter during initialization. This restricts the agent to only the specific data points you want to index.

Index live Blockdaemon (Blockchain Infrastructure) data into your LlamaIndex knowledge base for grounded, queryable insights.

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Connect Blockdaemon (Blockchain Infrastructure) MCP to LlamaIndex

Create your Vinkius account to connect Blockdaemon (Blockchain Infrastructure) 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 Blockdaemon (Blockchain Infrastructure) with LlamaIndex

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Index Blockdaemon (Blockchain Infrastructure) data for RAG

Run `list_blocks` to ingest chain history into your vector store. Your index now treats blockchain identifiers as searchable knowledge. This bridges the gap between static documents and live chain state. Your queries return answers based on current data, not stale training sets.

Query historic transaction patterns

Use `list_transactions` to populate your index with specific address activity. You can then ask your agent questions about wallet behavior over time. The system retrieves the relevant transaction slice before generating a response. It avoids hallucinations by grounding the answer in the retrieved API data.

Automate financial data ingestion

Configure your MCP Server to fetch `get_financial_report` outputs periodically. LlamaIndex stores these reports for long-term trend analysis. Your agents answer questions about asset performance by comparing these indexed reports against your other stored data. It creates a unified view of your infrastructure.

Setup guide

Set up Blockdaemon (Blockchain Infrastructure) 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 Blockdaemon (Blockchain Infrastructure) 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 Blockdaemon (Blockchain Infrastructure) tools.",
)
response = await agent.run("List recent Blockdaemon (Blockchain Infrastructure) data")

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Common questions about Blockdaemon (Blockchain Infrastructure) MCP in LlamaIndex

Use the McpToolSpec to convert server tools into LlamaIndex functions. Once registered, you can embed the tool results into your vector store.

Yes. Once you index the tool outputs, your agent performs semantic searches across the retrieved blockchain data.

It is. The server provides the live data source that keeps your RAG application current with real-time chain activity.

Use the allowed_tools parameter during initialization. This restricts the agent to only the specific data points you want to index.

Your API credentials never leave the local environment. We only index the public blockchain data returned by the server calls.

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