How to Use the BCB Juros — Selic, CDI e Expectativas Focus MCP in LlamaIndex

Index live Brazilian macroeconomic indicators directly into your LlamaIndex RAG applications.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect BCB Juros — Selic, CDI e Expectativas Focus MCP to LlamaIndex

Create your Vinkius account to connect BCB Juros — Selic, CDI e Expectativas Focus 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 BCB Juros — Selic, CDI e Expectativas Focus with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Ground RAG in daily effective rates

Static documents ruin financial chatbots. When a user asks about fixed income yields, your FunctionAgent can call `get_cdi` to pull the live interbank deposit rate. The agent combines this real-time figure with your indexed PDFs to give an answer that actually reflects today's market. You stop relying on stale knowledge base updates. Using `get_selic_diaria`, the system retrieves the daily effective Selic rate representing actual monetary policy execution. The response is grounded in reality, killing the risk of your bot quoting last month's interest rates.

Index Focus Survey data with this MCP Server

LlamaIndex does more than just execute functions. You can configure a routine that calls `get_expectativas_selic` every Monday and indexes the resulting median and maximum projections into your vector store. Those future Selic expectations become permanent, searchable context for your users. Analysts querying your system get richer insights. A user asks about inflation risks, and the engine retrieves both your internal research and the latest BCB Focus data. The synthesis happens automatically based on the indexed tool outputs.

Unified financial knowledge base

Building a true financial oracle requires mixing internal strategy with public benchmarks. You pass McpToolSpec to your LlamaIndex setup, granting your agent access to `get_selic_meta`. The agent knows exactly what the COPOM target rate is at any given moment. This setup bridges the gap between unstructured text and structured API data. Someone asks why a specific CDB is attractive, and the system cross-references the bond's prospectus with the live Selic target. Your RAG pipeline becomes a dynamic financial analyst.

Setup guide

Set up BCB Juros — Selic, CDI e Expectativas Focus 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 BCB Juros — Selic, CDI e Expectativas Focus 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 BCB Juros — Selic, CDI e Expectativas Focus tools.",
)
response = await agent.run("List recent BCB Juros — Selic, CDI e Expectativas Focus 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 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.

Why Choose Vinkius

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

Connect BCB Juros — Selic, CDI e Expectativas Focus 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 BCB Juros — Selic, CDI e Expectativas Focus MCP in LlamaIndex

Run pip install llama-index-tools-mcp. Create a BasicMCPClient, wrap it in McpToolSpec, and use await mcp_tool_spec.to_tool_list_async() to feed the tools into your FunctionAgent.

Yes. You can execute the tool calls and ingest the resulting JSON into your document store. This allows semantic search over past interest rates without hitting the API repeatedly.

This specific integration focuses on exposing the four core rate-fetching tools. You filter them using LlamaIndex's allowed_tools parameter to keep your agent's context window clean.

One fetches the target rate set by the COPOM committee. The other retrieves the daily effective rate, which reflects the actual execution of monetary policy in the market.

Zero-trust architecture ensures your privacy. The MCP connection only transmits the specific tool execution request for macroeconomic data like the Selic target. Your proprietary LlamaIndex embeddings and indexed documents never leave your local 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