# Broward County FL Real Estate MCP (`rl1987/broward-fl-real-estate-mcp`) Actor MCP server for Broward County (FL) Property Appraiser records: property, sales, commercial, land, subdivision, time-share and tangible searches, parcel details, and a tax estimator. - **URL**: https://apify.com/rl1987/broward-fl-real-estate-mcp.md - **Developed by:** [R.L.](https://apify.com/rl1987) (community) - **Categories:** MCP servers, Real estate - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 mcp tool calls This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Broward County FL Real Estate MCP **Give your AI agent instant access to Broward County, Florida property records.** This [Model Context Protocol (MCP)](https://modelcontextprotocol.io) server turns the [Broward County Property Appraiser (BCPA)](https://web.bcpa.net/bcpaclient/) database into clean, ready-to-use tools for **property search, owner lookup, parcel details, sales comps, and property-tax estimates** — no scraping, HTML parsing, or bot-handling on your side. Ask Claude, Cursor, or any MCP-compatible agent things like *"who owns 1800 N Andrews Ave?"*, *"pull the full record for folio 494234AJ0750"*, or *"list qualified residential sales in Fort Lauderdale over $500k last June"* — and get back normalized JSON with owners, addresses, assessed/market values, exemptions, and full sales history. Running on the **Apify platform**, it comes with a hosted HTTPS endpoint, [standby mode](https://docs.apify.com/platform/actors/development/programming-interface/standby), US proxy rotation, scheduling, and monitoring out of the box. ### What is the Broward County property data MCP server? It's a remote MCP server that exposes the entire Broward County Property Appraiser record search — every vertical the public site offers — as agent tools over Streamable HTTP. Under the hood it calls BCPA's ASP.NET JSON API directly (fast HTTP, no browser), normalizes the raw responses, and collapses indexed sales-history fields into tidy arrays, so your agent gets structured data instead of scraped HTML. ### Why use it? - **Real-estate lead generation** — owner names, mailing addresses, and values across all of Broward County. - **Comparable sales & market analysis** — filter recorded sales by property type, date range, price, and beds/baths. - **Skip tracing & due diligence** — mailing addresses, legal descriptions, homestead/exemption status. - **Property-tax estimation** — annual tax from a taxable value and municipality millage rate. - **Drop-in agent tooling** — no scraper to build or maintain; just point your LLM at the endpoint. ### Tools & data you can pull | Tool | What it does | |------|--------------| | `search_properties` | Search by **owner name, address, or folio** (optional city filter, pagination). | | `get_parcel_details` | Full record for a folio: owners, site & mailing address, legal description, zoning, use code, assessed/market/land/building values, exemptions, and sales history. | | `suggest_addresses` | Autocomplete owner/address strings to build a precise query. | | `search_sales` | Recorded **sales comps** by type, date range, price, beds/baths, qualified-only. | | `search_commercial` | Commercial properties by use code + city. | | `search_land` | Land parcels by use code + city. | | `search_subdivision` | Find subdivision names, or list all parcels within a subdivision. | | `search_timeshare` | List time-share properties. | | `search_tangible` | Tangible Personal Property (business) accounts by name or address. | | `estimate_taxes` | Estimate annual property tax from a taxable value using the current millage rate. | | `list_commercial_cities` / `list_commercial_use_codes` | Reference lists for the commercial/land searches. | A static `millage-codes` resource (`bcpa://reference/millage-codes`) maps each Broward municipality to its Tax Estimator code. ### Connect from your LLM agent The server speaks **Streamable HTTP** at: ```` https://\--broward-fl-real-estate-mcp.apify.actor/mcp ``` Authenticate with your Apify API token as a Bearer header. Find both in the Apify Console: - **Endpoint** → the Actor's **API** / **Standby** tab. - **Token** → **Settings → API & Integrations**. ``` Authorization: Bearer \ ```` Pick your client below (replace `` and ``): #### Claude Code ```bash claude mcp add broward-real-estate \ --transport http \ https://--broward-fl-real-estate-mcp.apify.actor/mcp \ --header "Authorization: Bearer " ```` #### Claude Desktop Edit `claude_desktop_config.json` (**Settings → Developer → Edit Config**). Claude Desktop bridges to remote servers via `mcp-remote`: ```json { "mcpServers": { "broward-real-estate": { "command": "npx", "args": [ "mcp-remote", "https://--broward-fl-real-estate-mcp.apify.actor/mcp", "--header", "Authorization: Bearer " ] } } } ``` #### Cursor Add to `~/.cursor/mcp.json` (global) or `.cursor/mcp.json` (per project): ```json { "mcpServers": { "broward-real-estate": { "url": "https://--broward-fl-real-estate-mcp.apify.actor/mcp", "headers": { "Authorization": "Bearer " } } } } ``` #### VS Code (GitHub Copilot) Add to `.vscode/mcp.json`: ```json { "servers": { "broward-real-estate": { "type": "http", "url": "https://--broward-fl-real-estate-mcp.apify.actor/mcp", "headers": { "Authorization": "Bearer " } } } } ``` #### Windsurf / other MCP clients Most clients accept a `serverUrl` (or `url`) plus a headers object — use the endpoint and `Authorization` header above. For stdio-only clients, wrap it with `npx mcp-remote --header "Authorization: Bearer "` as shown for Claude Desktop. #### Python (programmatic) ```python import asyncio from fastmcp import Client URL = "https://--broward-fl-real-estate-mcp.apify.actor/mcp" async def main(): async with Client(URL, auth="") as client: hits = await client.call_tool("search_properties", {"query": "1800 N ANDREWS AVE"}) folio = hits.structured_content["results"][0]["folioNumber"] parcel = await client.call_tool("get_parcel_details", {"folio": folio}) print(parcel.structured_content) asyncio.run(main()) ``` ### Example: search, then fetch details `search_*` tools return `{ "total": N, "results": [...] }`. Feed a `folioNumber` into `get_parcel_details` for the full record: ```json { "found": true, "folioNumber": "494234AJ0750", "owners": ["AVILES,WILSON", "WILSON AVILES REV TR"], "siteAddress": { "line1": "1800 N ANDREWS AVENUE # 8A", "city": "FORT LAUDERDALE", "zip": "33311" }, "useCode": "04 - Condominium", "legal": "DRAKE TOWER CONDO UNIT 8A ...", "values": { "just": "$315,620", "land": "$31,560", "building": "$284,060" }, "exemptions": { "homesteadPercent": "100%", "he1Amount": "$25,000" }, "sales": [ { "saleDate": "04/09/2019", "stampAmount": "$100", "deedType": "Warranty Deed", "bookAndPageOrCin": "115730117", "saleVerification": "Non-Sale Title Change" } ] } ``` ### How much does it cost? This Actor uses [Pay Per Event](https://docs.apify.com/platform/actors/publishing/monetize#pay-per-event-pricing-model): a flat **$0.01 per tool call** (`tool-call` event), plus Apify platform compute. A typical *search → open a record* flow is two tool calls (about **$0.02**) plus minimal compute. There are no per-page scraping costs — one tool call returns a full result set (up to the source's 500-row cap). ### Run locally (development) ```bash pip install -r requirements.txt ## This machine may not reach BCPA directly; route via a US-exit proxy for local dev: export DEV_PROXY_URL='http://user:pass@host:port' APIFY_META_ORIGIN=STANDBY python -m my_actor ``` The server listens at `http://localhost:3000/mcp`. On the Apify platform, `DEV_PROXY_URL` is unset and the Actor calls BCPA directly, falling back to an Apify US datacenter proxy if a datacenter IP is blocked. See [`tests/`](tests/) for a browser-vs-MCP differential test suite that validates output against the live BCPA site. ### FAQ, disclaimer & support - **Is this legal?** It reads the same public records BCPA already publishes on its website. Use the data in accordance with BCPA's terms and Florida public-records law. Values are for tax-roll purposes and are not final until certified. - **What area is covered?** Broward County, Florida only (Fort Lauderdale, Hollywood, Pompano Beach, Pembroke Pines, Miramar, Coral Springs, and all other Broward municipalities). - **Do I need an Apify account?** Yes — to get an endpoint URL and API token. A free account is enough to start. - **Feedback / bugs?** Open an issue on the Actor's **Issues** tab. ### Resources - [What is Anthropic's Model Context Protocol?](https://blog.apify.com/what-is-model-context-protocol/) - [How to use MCP with Apify Actors](https://blog.apify.com/how-to-use-mcp/) - [FastMCP documentation](https://gofastmcp.com/getting-started/welcome) - [Apify MCP server documentation](https://docs.apify.com/platform/integrations/mcp) # Actor input Schema ## Actor input object example ```json {} ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("rl1987/broward-fl-real-estate-mcp").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("rl1987/broward-fl-real-estate-mcp").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call rl1987/broward-fl-real-estate-mcp --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=rl1987/broward-fl-real-estate-mcp", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Broward County FL Real Estate MCP", "description": "MCP server for Broward County (FL) Property Appraiser records: property, sales, commercial, land, subdivision, time-share and tangible searches, parcel details, and a tax estimator.", "version": "0.1", "x-build-id": "VfCqH1cWtai1RnbK7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/rl1987~broward-fl-real-estate-mcp/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-rl1987-broward-fl-real-estate-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/rl1987~broward-fl-real-estate-mcp/runs": { "post": { "operationId": "runs-sync-rl1987-broward-fl-real-estate-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/rl1987~broward-fl-real-estate-mcp/run-sync": { "post": { "operationId": "run-sync-rl1987-broward-fl-real-estate-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": {} }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```