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Buenbit MCP Server for LlamaIndex 14 tools — connect in under 2 minutes

Built by Vinkius GDPR 14 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Buenbit as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Buenbit. "
            "You have 14 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Buenbit?"
    )
    print(response)

asyncio.run(main())
Buenbit
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Buenbit MCP Server

Connect your Buenbit trading account to any AI agent and manage your decentralized portfolio seamlessly through a conversational layer geared toward Latin American markets.

LlamaIndex agents combine Buenbit tool responses with indexed documents for comprehensive, grounded answers. Connect 14 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

  • Live Tickers — Query real-time snapshot prices for critical cross-pairs like USDC/ARS or BTC/USD before invoking macro logics.
  • Portfolio Balances — Read fiat availability and absolute cryptographic savings instantly to evaluate internal liquidity.
  • Market Execution — Create sophisticated buy or sell limit orders without opening the heavily loaded UI panel on your phone.
  • Transaction Mapping — Review and assert if a recent deposit hitting a specific destination address matured successfully.

The Buenbit MCP Server exposes 14 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Buenbit to LlamaIndex via MCP

Follow these steps to integrate the Buenbit MCP Server with LlamaIndex.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 14 tools from Buenbit

Why Use LlamaIndex with the Buenbit MCP Server

LlamaIndex provides unique advantages when paired with Buenbit through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Buenbit tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Buenbit tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Buenbit, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Buenbit tools were called, what data was returned, and how it influenced the final answer

Buenbit + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Buenbit MCP Server delivers measurable value.

01

Hybrid search: combine Buenbit real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Buenbit to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Buenbit for fresh data

04

Analytical workflows: chain Buenbit queries with LlamaIndex's data connectors to build multi-source analytical reports

Buenbit MCP Tools for LlamaIndex (14)

These 14 tools become available when you connect Buenbit to LlamaIndex via MCP:

01

cancel_order

Cancel a pending crypto order

02

create_order

Create a new market/limit trade order

03

execute_withdrawal

Broadcast a native withdrawal

04

get_crypto_prices

Read universal conversion spot prices

05

get_deposit_address

Scan infrastructure wallet address

06

get_network_fees

Get current network gas costs

07

get_ticker

g. BTC/ARS, USDC/ARS). Get current market ticker prices

08

get_yield_rates

Get staking pool rates

09

list_assets

Explore available crypto assets catalog

10

list_balances

List portfolio wallet balances

11

list_limits

Get profile trade limits

12

list_orders

List recorded exchange orders

13

list_transactions

List money and crypto transactions

14

list_withdrawals

List crypto withdrawals

Example Prompts for Buenbit in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Buenbit immediately.

01

"Check the ticker for the BTC to ARS market pairing securely right now."

02

"Display my exact crypto availability looking at balances under my Buenbit portfolio."

03

"Instantly place a Limit Buy order. Spend around $30 USDC grabbing Bitcoin at roughly 68k edge margin."

Troubleshooting Buenbit MCP Server with LlamaIndex

Common issues when connecting Buenbit to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Buenbit + LlamaIndex FAQ

Common questions about integrating Buenbit MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Buenbit tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect Buenbit to LlamaIndex

Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.