How to Use the BTC.com API (BTC.com Explorer & Pool API) MCP in LlamaIndex

Index live blockchain data from BTC.com API (BTC.com Explorer & Pool API) directly into your LlamaIndex RAG pipelines.

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Connect BTC.com API (BTC.com Explorer & Pool API) MCP to LlamaIndex

Create your Vinkius account to connect BTC.com API (BTC.com Explorer & Pool 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 BTC.com API (BTC.com Explorer & Pool API) with LlamaIndex

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Turn LlamaIndex queries into blockchain insights

Use `get_block` and `get_latest_block` to fetch current chain headers for your index. Your RAG app retrieves specific block heights to answer user questions about network status. Instead of static files, your knowledge base now includes live ledger snapshots. The agent updates the index based on the latest data retrieved by the tools.

Map address UTXOs in LlamaIndex

Run `get_address_utxo` to feed transaction inputs into your vector store. You can now perform semantic searches across unspent outputs to track asset flows. Your index becomes a living map of addresses. It allows for complex reasoning over transaction history that a standard document store cannot provide.

Ground LlamaIndex answers in pool data

Fetch payment history using `get_payment_history` to build a verifiable record of mining rewards. The agent uses this to answer questions about payout consistency. This creates a grounded RAG system where the agent cites actual pool transactions. You avoid hallucinations by forcing the agent to query the server before answering.

Setup guide

Set up BTC.com API (BTC.com Explorer & Pool 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 BTC.com API (BTC.com Explorer & Pool 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 BTC.com API (BTC.com Explorer & Pool API) tools.",
)
response = await agent.run("List recent BTC.com API (BTC.com Explorer & Pool API) 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 BTC.com. 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 BTC.com API (BTC.com Explorer & Pool API) MCP in LlamaIndex

You initialize the tool spec within your client and add the output to your retrieval engine. The tools act as data loaders for your vector index.

You can request specific block heights or hashes through the tools. These results are then indexed by your pipeline for future retrieval.

Yes, once you convert the tools to a list, the agent can call them dynamically. It selects the right tool based on the user's natural language query.

The client handles network retries automatically. Your agent will report a standard error if the data remains unreachable after multiple attempts.

All your mining statistics are processed within a zero-trust, ephemeral sandbox. The server clears your session data immediately after each request finishes.

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