How to Use the Brave New Coin MCP in LlamaIndex

Index Brave New Coin market data directly into your LlamaIndex knowledge base for semantic crypto insights.

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Connect Brave New Coin MCP to LlamaIndex

Create your Vinkius account to connect Brave New Coin 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 Brave New Coin with LlamaIndex

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Create searchable crypto indexes in LlamaIndex

Run `get_ohlcv` or `get_vwap` and let the framework ingest the results into your vector store. You stop chasing raw numbers and start querying your own history of market data. This creates a grounded knowledge base that answers questions based on actual API results. Your RAG pipeline becomes a reference library for specific asset performance.

Query historical asset metadata via LlamaIndex

Use `list_assets` and `get_asset` to populate your index with current token specifications. You can then ask your agent about specific asset properties without hitting the API every time. By including resources, the framework pulls the data and maps it to your vector index automatically. This bridges the gap between live market prices and your internal documentation.

Filter Brave New Coin tools for LlamaIndex

Control which endpoints your agent can hit by using the allowed_tools filter. You prevent the agent from over-fetching data by restricting it to specific calls like `get_ticker`. This ensures your LlamaIndex application stays focused on the data that matters. You define the boundaries, and the MCP Server executes the queries within those constraints.

Setup guide

Set up Brave New Coin 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 Brave New Coin 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 Brave New Coin tools.",
)
response = await agent.run("List recent Brave New Coin 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 Brave New Coin. 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 Brave New Coin MCP in LlamaIndex

Use the MCP tool spec class to initialize the client and convert the server tools into a list. Once converted, pass them to your function agent for immediate use.

The framework indexes the output into your vector store, so the data persists as long as your index does. It turns transient API responses into a permanent searchable record.

Absolutely, as long as you have indexed the output. You can query your past sessions to see how market averages changed over time.

You re-run the tool calls to update your vector index with the freshest data. It keeps your knowledge base current with the latest market shifts.

All crypto price data is encrypted in transit using secure transport protocols. The data is stored in your private vector database, ensuring no unauthorized access to your specific API queries.

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