How to Use the BCB Câmbio — Dólar PTAX, Euro e 150+ Moedas MCP in LlamaIndex
Index official Brazilian Central Bank exchange rates into LlamaIndex for grounded financial querying.
Works with every AI agent you already use
…and any MCP-compatible client
Connect BCB Câmbio — Dólar PTAX, Euro e 150+ Moedas MCP to LlamaIndex
Create your Vinkius account to connect BCB Câmbio — Dólar PTAX, Euro e 150+ Moedas 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.
Vectorize Historical PTAX Dollar Rates
Standard RAG apps fail at answering specific historical finance questions. You fix this by letting your FunctionAgent call `get_dolar_periodo` to pull official Brazilian Central Bank bulletins for a specific date range. LlamaIndex takes those JSON responses and indexes them directly into your vector store. When a user asks about BRL volatility last October, the agent retrieves the actual PTAX intermediate and closing rates instead of guessing.
Query 150+ Currencies via MCP Server
Corporate treasuries deal with exotic currencies that standard LLMs hallucinate about. Your setup uses `listar_moedas` to pull the complete Central Bank catalog, including codes like COP, MXN, and THB. The agent stores this catalog in a searchable knowledge base. It then executes `get_cotacao_moeda` to fetch the official buy and sell rates for any specific currency. This grounds the final response in live government data.
Ground Agents in SGS Time Series
Long-term macroeconomic analysis requires decades of exchange rate data. LlamaIndex routes these queries to the MCP Server using `get_dolar_sgs`. It pulls series 1 for buy rates and 10813 for sell rates formatted as DD/MM/YYYY. The returned commercial dollar records become part of your queryable index alongside your internal financial PDFs. Your agent synthesizes answers using both your private documents and the official public exchange rates.
Set up BCB Câmbio — Dólar PTAX, Euro e 150+ Moedas MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - 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 providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto 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 BCB Câmbio — Dólar PTAX, Euro e 150+ Moedas MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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 BCB Câmbio — Dólar PTAX, Euro e 150+ Moedas tools.",
)
response = await agent.run("List recent BCB Câmbio — Dólar PTAX, Euro e 150+ Moedas data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Banco Central do Brasil. 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 BCB Câmbio — Dólar PTAX, Euro e 150+ Moedas MCP in LlamaIndex
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