"A server for finding economic data" matching MCP servers:

Provides access to 800,000+ Federal Reserve Economic Data (FRED) time series, enabling users to search, retrieve, and analyze economic indicators like GDP, unemployment, inflation, and interest rates through natural language queries.

Provides read-only FastMCP tools for BLS nonfarm employment, ADP private employment, economic calendar, and employment release summaries.

Enables AI agents to discover, retrieve, compare, and analyze trusted macroeconomic statistics from central banks and international organizations, resolving concepts to official series with provenance and validation.

Enables AI agents to discover official public data sources, inspect their metadata and endpoint parameters, and execute live queries through a unified response envelope with a 500 ms budget.

MCP server for the loc8n Geographic Data API. Exposes U.S. demographics, housing, mortgage, migration, employment, and geographic data as tools.

Enables MCP clients to query Australian economic and transport data from ABS, RBA, and Sydney Opal tap sources, including inflation, labour force, interest rates, exchange rates, lending rates, and commute patterns.

An MCP server that gives agents reliable access to LatAm data: tax-ID validation for 12 countries, live economic indicators, exchange rates, Brazilian company lookups, holidays, and business-day math.

Provides access to over 800,000 economic time series from the Federal Reserve, allowing users to browse, search, and retrieve data for indicators like GDP and unemployment. It supports custom date ranges and data transformations such as percentage changes or frequency aggregations.

MCP server with 562 tools accessing 114 government data APIs covering economic, health, education, energy, and more from federal, state, and international sources.

Enables searching and querying Winnipeg Open Data datasets through natural language or SoQL, with tools for datasets, metadata, and row-level data.

Provides AI agents with universal access to all 800,000+ Federal Reserve economic time series, letting them browse categories, releases, and sources, search series by keywords, tags, or filters, and retrieve any series with date ranges, units transformations, frequency aggregation, and pagination.

Enables AI assistants to browse the complete economic data catalog by category, release, or source, search series by keyword or tag, and retrieve any of the 800,000+ available time series. Supports date-range filtering, frequency aggregation, and unit transformations such as percent change or natural log.

Enables searching and querying Île-de-France open data datasets (transport, environment, economy, etc.) via natural language or direct tool calls.

Enables browsing, searching, and retrieving data from over 800,000 Federal Reserve Economic Data time series, including GDP, unemployment, inflation, and interest rates, with custom transformations and date ranges.

Enables AI agents to search, query, and explore datasets from the Centre-Val de Loire Open Data portal, covering regional services, transport, education, and environment.

Enables users to browse, search, and retrieve over 800,000 economic time series, with transformations, date ranges, and filters, via MCP tools.

Provides access to Detroit open data via ArcGIS REST API, enabling querying and analysis of municipal datasets through natural language or direct tool calls.

Enables searching, querying, and retrieving metadata for datasets from New Caledonia Open Data (data.gouv.nc) using ODSQL.

Enables browsing, keyword/tag searching, and retrieval of any of the 800,000+ FRED economic time series, with support for date ranges, frequency aggregation, and unit transformations such as percent change or natural log. It also supports both stdio and streamable HTTP transports with caching and rate-limit handling.

Enables access to all 800,000+ Federal Reserve Economic Data time series through three tools for browsing categories, releases, and sources, searching by keywords or tags, and retrieving observations with transformations, frequency aggregation, and date ranges.