fetch
OpenAI Deep Research contract: returns one series as a readable document with its canonical public URL
How to use it
fetch is exposed by the Bcb Br MCP MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), and the fetch tool becomes available to the model automatically. See the full listing for setup details and every tool this server provides.
Install Bcb Br MCP
npx -y bcb-br-mcpOther tools in Bcb Br MCP (14)
Search series by name or description (accent-insensitive)
PTAX quote for a currency (USD by default), single day or date range
Currencies with quotes published by the BCB
Compare 2 to 5 series over the same period with ranking (same level/compounding rule per series, declared in metodo)
Focus survey expectations for one indicator, horizon as a parameter (monthly, quarterly, annual, rolling 12m/24m inflation); top5 flag
Which indicators and reference dates the Focus survey actually publishes, broken down per scope (the five horizons plus selic, whose axis is the Copom meeting) — the indicator set differs by scope (9 monthly vs 26 annual)
Focus expectations for the Selic rate, by Copom meeting (R1/2026 form)
Latest values: Selic, IPCA, USD/BRL, IBC-Br
Get series metadata (name, frequency, category, last value)
Get the last N values of a series (any N — the upstream cap of 20 is worked around)
Query series values by code and date range; slices long windows automatically and can harmonise the series to a coarser frequency
List popular series grouped by category
Percentage variation of one series over a period: level change for level series, compounded accumulation for series that are already period-on-period rates (IPCA, IGP-M, INPC…); analise.metodo says which
OpenAI Deep Research contract: searches the series catalog (curated + open data portal index) and returns { id, title, url } — see ChatGPT (Deep Research)