HUD Fair Market Rents MCP for AI. Pull official housing metrics by location.
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HUD Fair Market Rents gives you direct access to official US Department of Housing and Urban Development (HUD) data. Quickly retrieve verifiable metrics like Fair Market Rents (FMR), income limits, and demographic boundaries across every state, county, and metro area.
Stop guessing on valuations; pull the numbers straight from the source.
What your AI can do
Get fmr data
Retrieves Fair Market Rent data for a specific county or metro area using its unique entity ID.
Get il data
Fetches the current Income Limits (IL) data based on an entity's identifier.
Get mtsp il data
Provides income limits specifically for Multifamily Tax Subsidy Project (MTSP) applications.
List and identify specific states, counties, and metropolitan areas using their official FIPS codes.
Fetch comprehensive Fair Market Rent data for an entire state or metro region at once.
Retrieve precise income limits (IL) for different family sizes and program types, including Very Low and Extremely Low categories.
Pull detailed rent data (FMR) for a specific county or metro area using its identifier.
Get the income limits needed to qualify for Multifamily Tax Subsidies in designated housing projects.
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HUD Fair Market Rents: 8 Tools
These tools let you list geographic boundaries (states, counties) and pull specific federal metrics like FMR and Income Limits for analysis.
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Start using HUD Fair Market Rents on VinkiusGet Fmr Data
Retrieves Fair Market Rent data for a specific county or metro area using its unique entity ID.
Get Il Data
Fetches the current Income Limits (IL) data based on an entity's identifier.
Get Mtsp Il Data
Provides income limits specifically for Multifamily Tax Subsidy Project (MTSP)...
Get State Fmr Data
Pulls comprehensive Fair Market Rent data covering all areas within an entire state.
Get State Il Data
Retrieves statewide income limits data for comparison across the whole state.
List Counties
Returns a list of all counties contained within a specified state.
List Metro Areas
Lists and identifies all major Metropolitan Statistical Areas across the US.
List States
Provides a complete list of all recognized US states and territories, including...
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 8 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Housing metrics are scattered across government websites.
Today, finding comprehensive housing data means hopping between HUD sites, state databases, and county portals. You copy a zip code from one page, then paste it into another to find the income limit. Then you have to start over on a third site just to get the Fair Market Rent for that same area. It's tedious, error-prone, and takes hours of manual clicking.
With this MCP connected through Vinkius, your agent handles the entire pipeline. You ask for 'FMR data for three counties in Ohio.' The system pulls the necessary codes using `list_counties`, fetches the required rates via `get_fmr_data`, and presents a clean table. You get the final answer immediately.
Get State-Level Data with `get_state_fmr_data`
Before this tool, getting statewide data meant downloading huge, non-standardized CSV files and manually merging them by county code. If you missed one file or misread a column header, your entire comparative analysis was flawed.
Now, calling `get_state_fmr_data` gives clean, structured JSON that your agent can read instantly. You're no longer dealing with messy spreadsheets; you’re dealing with actionable data points.
What your AI can actually do with this
This MCP lets your AI client access decades of official housing and economic records maintained by HUD. You can ask for specific rent data in a particular county or get statewide comparisons to track market shifts over time. Need to check income eligibility for an assistance program? It pulls the exact limits used by federal agencies.
The system also tracks Multifamily Tax Subsidy Project (MTSP) income requirements, which is crucial for property development analysis. Everything connects through Vinkius, giving your agent a single point of access to thousands of other data sources without switching catalogs. You can even pull basic geographic information, like listing all available states or finding every county within a given state, before pulling the deep metrics you need.
019e38aa-4687-70d2-beb2-67385e935780 Here's how it actually works
The bottom line is you get verifiable HUD data on rent and income limits without having to manually navigate multiple government websites.
Subscribe to this MCP and enter your HUD User API Key.
Direct your AI client to use a listing tool, like list_states, to identify the required geographic scope (e.g., 'California').
Use a metric tool, such as get_state_fmr_data or get_il_data, providing the necessary identifiers to pull structured data.
Who is this actually for?
This MCP is for professionals who need hard, auditable numbers—not estimates. Think property appraisers checking market rates or urban planners designing new programs that rely on federal income guidelines.
Verifies current Fair Market Rents (FMR) for specific properties to support valuations and listing prices.
Gathers large-scale, state-by-state income limits (IL) data necessary for academic research or grant applications.
Checks precise eligibility thresholds and Multifamily Tax Subsidy Project (MTSP) requirements before running a housing assistance program.
What Changes When You Connect
Stop estimating rents. Use get_state_fmr_data to pull benchmark data for every metro area in a state, perfect for market reports.
Track historical trends accurately. Querying specific years allows you to see how rent prices and income limits have shifted over time.
Ensure compliance with federal rules. get_mtsp_il_data gives the precise income thresholds needed for subsidy eligibility checks, avoiding manual calculation errors.
Scope out your research first. Start by calling list_states or list_metro_areas to build a comprehensive list of all possible jurisdictions before running deep metric queries.
Compare state economies easily. Use get_state_il_data to run side-by-side comparisons of income limits across multiple states.
See it in action
Valuing a property in a new county
An appraiser needs the current rent rate for a small, unincorporated county. Instead of calling HUD and waiting days, they ask their agent to run get_fmr_data using the county's ID. The agent returns the exact Fair Market Rent, allowing the appraisal to finish immediately.
Designing an assistance program for a state
A government analyst needs to know if their new income cap is viable statewide. They run get_state_il_data to get all median family incomes, ensuring the proposed limit works equally well in rural areas and large metro centers.
Comparing rental markets across states
A developer wants to know if a new project will be viable from Texas to Florida. They use list_states to get all state codes, then loop through them using get_state_fmr_data to create a comparative regional report.
Checking tax subsidy eligibility
A developer needs funding for an affordable housing project. They use the specialized tool get_mtsp_il_data to confirm the exact income limits required by the Multifamily Tax Subsidy Project, ensuring they meet all federal guidelines.
The honest tradeoffs
Searching for a county's data in general
Asking your agent to simply 'find the rent for Los Angeles County.' The system might return outdated, generalized numbers because it can't pinpoint the exact required tool.
To get accurate results, first run list_counties and confirm the county's identifier. Then call get_fmr_data, passing that specific ID to guarantee the correct, current rent data.
Using general search for state boundaries
Asking 'What are all the US states?' A standard LLM might generate an incomplete list or mix in territories without proper codes.
Always use list_states. This tool provides a clean, official record of every state and territory with its correct FIPS code for reliable scripting.
Mixing metrics from different scopes
Trying to use general tools that pull both county-level FMR and statewide IL data in one request. This mixes unrelated numbers, making the output useless.
Always isolate your requests. If you need state income limits, run get_state_il_data. If you only need a specific metro area's rent, use get_fmr_data.
When It Fits, When It Doesn't
Use this MCP if your task requires official, auditable housing metrics—specifically FMR or HUD-defined Income Limits. It’s mandatory when the financial outcome depends on federal guidelines, like tax subsidies or eligibility checks (use get_mtsp_il_data). If you just need a rough idea of local rent prices for marketing purposes, another general data API might suffice. However, if you need to prove compliance or run serious economic analysis, stick here. Don't use this MCP if your goal is simply to find out what the average price of a coffee is in an area; that’s outside its scope.
Questions you might have
How do I find all the states and their codes using list_states? +
Use list_states to get a definitive, up-to-date listing of every state and territory. This is your first step when you need to scope out data across multiple regions.
What's the difference between get_fmr_data and get_state_fmr_data? +
get_fmr_data pulls deep metrics for one specific county or metro area. get_state_fmr_data, however, gathers the full set of FMR data covering every major area across an entire state.
Can I check income limits for a housing project? Which tool do I use? +
Yes. Use get_mtsp_il_data. This specific function pulls the precise Multifamily Tax Subsidy Project (MTSP) required income limits, which are different from general county limits.
How does list_counties help with my research? +
The list_counties tool helps you establish a boundary. If you know the state but not the exact counties, running this first gives you the full list of potential data points.
What do I need to provide for authentication when calling a function like get_il_data? +
You must supply a valid HUD User API Key. This key is required in the connection settings before your agent runs any queries, ensuring secure access to the data.
How do I find all relevant metropolitan zones using list_metro_areas? +
This tool generates a comprehensive listing of defined Metropolitan Statistical Areas (MSAs). You use these specific codes to narrow your search parameters when calling functions like get_fmr_data, guaranteeing accurate targeting.
When should I use get_state_il_data instead of querying an individual entity ID? +
Use get_state_il_data when you need to compare income limits across all counties within a single state. Running the query for one specific county only gives limited, isolated data points.
If my API request fails while running get_fmr_data, what should I check first? +
First, verify that you have provided a valid entity ID and the correct year range. Most errors happen because of missing or malformed geographic identifiers.
How do I find the specific ID for a county to get its rent data? +
First, use the list_states tool to get the state code, then use list_counties with that code. This will provide you with the 10-digit FIPS code (entity ID) needed for the get_fmr_data tool.
Can I retrieve rent data for an entire state at once? +
Yes! Use the get_state_fmr_data tool and provide the two-letter state code (e.g., 'NY' for New York). It will return FMR data for all metro areas and counties within that state.
What is the difference between IL and MTSP data? +
IL data (get_il_data) refers to general Income Limits for housing assistance, while MTSP data (get_mtsp_il_data) specifically targets Multifamily Tax Subsidy Projects. Both can be queried using the same entity IDs.
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