# FRED Tags & Sources MCP for AI Agents AI Agent Connect > FRED Tags & Sources — Data Discovery helps your AI agent navigate the massive Federal Reserve Economic Data (FRED) database. Instead of guessing keywords, you can use precise tags for geography, topic, and frequency to find specific economic series. It also maps out all 107 official data sources like the BLS and Census Bureau to ensure your agent pulls from the right place every time. ## Overview - **Category:** brain-trust - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_gSpxwBSlmBoTh0qkNEnTwJGqQpGQLWCmnpo1UhkQ/ai-agent-connect - **Tags:** data-tagging, metadata, search-filtering, economic-data, data-discovery, classification ## Description Finding the right economic data is usually a mess of trial and error. You spend half your time scrolling through endless search results or guessing which acronym belongs to which agency. This Connector changes that by giving your AI client a structured way to navigate the FRED catalog. It uses a tagging system that lets your agent filter by things like monthly frequency or inflation topics with high precision. You can tell your agent to find series that match specific criteria while ignoring the noise of irrelevant data. Because Vinkius makes it so easy to connect these tools, you can quickly move from a vague idea to a specific list of data points. It's built for people who need to be sure about where their data comes from, whether you're building a dashboard or conducting academic research. It handles the heavy lifting of filtering so you can focus on what the numbers actually mean. Instead of manually clicking through dozens of tabs to find a single series, your agent can query the entire catalog in seconds. This ensures your data is consistent and comes from verified sources like the BLS or the BEA. It even allows you to browse all 107 official organizations contributing to the database, making it simple to verify that your agent is pulling from a reputable government source. It's about moving from a search and hope workflow to a query and confirm workflow. ## Tools ### search_tags Browse or search for specific labels like geography, topic, and frequency. You can use this to see all available tags or find specific ones by text. ### get_series_by_tags Retrieve specific economic series by matching or excluding various tags. It allows you to narrow down results to exactly what you need for your analysis. ### list_sources Get a list of all 107 official organizations that provide data to FRED. This helps you confirm which agencies are contributing to the database. ## Prompt Examples **Prompt:** ``` Find all quarterly inflation series for the US. ``` **Response:** ``` 🏷 **Tags: usa + inflation + quarterly** Found 24 matching series: 1. CPIAUCSL — Consumer Price Index for All Urban Consumers 2. CPIAUCSL0000000001 — Consumer Price Index for All Urban Consumers (Base Year 2012) 3. ... All are quarterly inflation indicators for the United States. ``` **Prompt:** ``` Which government agencies provide data to FRED? ``` **Response:** ``` 🏛 **FRED Data Sources (107 total)** 1. Bureau of Labor Statistics (BLS) 2. Bureau of Economic Analysis (BEA) 3. Board of Governors of the Federal Reserve 4. U.S. Census Bureau 5. U.S. Department of the Treasury 6. International Monetary Fund (IMF) ... All 107 sources are listed and verified. ``` **Prompt:** ``` Find monthly GDP data but exclude anything not seasonally adjusted. ``` **Response:** ``` 🏷 **Tags: usa + gdp + monthly (Exclude: nsa)** Found 12 matching series: 1. GDP_SA — Real GDP 2. GDP_SA_Monthly — Monthly Real GDP 3. ... Filtered results show only seasonally adjusted monthly GDP series. ``` ## Capabilities ### Filter economic series by multiple tags Narrow down results by combining geography, topic, and frequency labels. ### Browse all official FRED data sources Access a complete list of all 107 organizations contributing to the database. ### Exclude specific data categories Remove irrelevant series from your results by filtering out specific tags. ### Search for geographic and topic labels Identify specific regions or economic themes using the built-in tagging system. ### Identify data frequency types Quickly find series that match monthly, quarterly, or annual reporting cycles. ## Use Cases ### Finding specific monthly GDP data A user asks for monthly US GDP data but gets irrelevant results. The agent uses search_tags to identify the correct labels and filters for only monthly series. ### Identifying official labor data sources A data engineer needs to know which agency provides the best labor stats. They use list_sources to find the BLS and ensure the pipeline uses official data. ### Filtering regional inflation series A researcher needs all quarterly inflation series for Europe. The agent combines the europe, inflation, and quarterly tags to pull a clean, relevant list. ### Avoiding non-seasonally adjusted data An analyst wants to build a report but needs to avoid non-seasonal data. They use get_series_by_tags with an exclude list for nsa to clean the results. ## Benefits - Avoid keyword confusion by using search_tags to find exact categories you need. - Verify data origin by identifying official agencies with list_sources. - Get precise results instantly with get_series_by_tags for specific topics. - Remove irrelevant data by excluding tags like nsa or annual from your results. - Access 107 official sources like the BLS and BEA directly through your AI client. ## How It Works The bottom line is you get precise economic data series without the manual search headache. 1. Connect your AI client to the FRED Tags & Sources MCP via Vinkius. 2. Provide your agent with specific tags like usa and gdp. 3. Receive a filtered list of matching economic series from the FRED database. ## Frequently Asked Questions **Can FRED Tags & Sources MCP find specific inflation data?** Yes, it allows your agent to search for inflation-related tags and filter by region or frequency to find the exact series you need for your analysis. **How does this help with economic research?** It speeds up the discovery phase by allowing your agent to pull organized lists of series that match specific criteria, like quarterly data for a specific country. **Can I find data from the Census Bureau?** Yes, the Connector can list all 107 official sources, including the Census Bureau, so you can verify exactly where your data is coming from. **What is the difference between tags and keywords?** Keywords can be messy and return hundreds of unrelated results. Tags are a structured system that lets you combine specific categories like geography and topic for much higher precision. **Does this help my AI agent find the right series?** Exactly. It gives your agent the ability to navigate the complex FRED catalog and return a clean, filtered list of series IDs instead of a wall of text. **Can I filter by geographic regions like Europe?** Yes, the tagging system includes geographic labels for regions like Europe, the USA, and other areas to help you narrow down your search. **What is the difference between tags and categories?** Categories are a strict hierarchy (one parent, many children). Tags are flat labels — each series can have many tags across dimensions: geography (usa), frequency (monthly), topic (gdp), source (bls). Combine tags for powerful cross-dimensional filtering.