How to Use the Buenbit MCP in LlamaIndex

Index your Buenbit account data into LlamaIndex for RAG-based crypto insights and queryable history.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Buenbit MCP to LlamaIndex

Create your Vinkius account to connect Buenbit 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.

GDPR Free for Subscribers

Setup Buenbit with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Turn Buenbit history into searchable knowledge

Use `list_transactions` to pull your history into a vector store. LlamaIndex then indexes these records for semantic lookup. You stop guessing about past trades. Ask your agent questions about your spending patterns, and it pulls answers from your indexed Buenbit data.

Grounded answers via Buenbit and LlamaIndex

Your agent stops hallucinating about your portfolio. It queries the live `list_balances` tool and compares it against the indexed knowledge base. This creates a feedback loop. You get responses based on actual API data rather than generic market assumptions.

Filter Buenbit tools for LlamaIndex agents

Limit what your agent can touch using the allowed_tools filter. You decide which `list_orders` or `get_yield_rates` functions the agent can run. Control is granular. You define the scope, and LlamaIndex executes the tool calls safely against your Buenbit profile.

Setup guide

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Buenbit. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Buenbit now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Buenbit MCP in LlamaIndex

The tool spec fetches your account info and converts it into nodes for the vector store. This happens during your ingestion pipeline.

You can. Just include the balance tool in your spec, and the agent will call it whenever you ask about your funds.

It does. By using the tool spec, you treat your exchange data like any other document source for your RAG setup.

The server uses a single endpoint token for authentication. Your data is isolated within the Vinkius sandbox during the indexing process.

Your portfolio and transaction logs are stored as encrypted vectors only within your local index. No raw data is shared outside your environment.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

Start using the Buenbit MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Get started