# Miami-Dade FL Property Appraiser MCP Server (`rl1987/miami-dade-fl-mcp-server`) Actor MCP server exposing Miami-Dade County FL Property Appraiser search (address, owner, subdivision, folio) and full property records. - **URL**: https://apify.com/rl1987/miami-dade-fl-mcp-server.md - **Developed by:** [R.L.](https://apify.com/rl1987) (community) - **Categories:** Real estate, MCP servers - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 price for completing a 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ### What does Miami-Dade Property Appraiser MCP Server do? **Miami-Dade Property Appraiser MCP Server** gives AI agents live access to Miami-Dade County, Florida real estate records through the [Model Context Protocol](https://modelcontextprotocol.io), by talking directly to the same public JSON API that powers the county's [Property Search](https://apps.miamidadepa.gov/PropertySearch/#/) web app. It covers every search form on that app — address, owner name, subdivision name, and folio number — plus the full property record card (ownership, assessed/taxable values by year, exemptions, land and building details, extra features, and complete sales history) for any folio. Because it runs on Apify, the server is always on (Standby mode), scales automatically, and is billed per tool call with no infrastructure to manage. ### Why use Miami-Dade Property Appraiser MCP Server? - **Due diligence & underwriting** — pull ownership, assessed value trends, and sales history for a parcel before making an offer. - **Market research** — sweep a subdivision or neighborhood for comparable sales and assessment values. - **Skip tracing / owner lookups** — find every parcel tied to an owner name. - **Tax & exemption audits** — check homestead and other benefit/cap values by year for a folio. - **Agent workflows** — let an LLM answer "what's this property worth" or "who owns 123 Main St" questions live, without you writing scraping code. ### How to use Miami-Dade Property Appraiser MCP Server 1. Deploy this Actor to your Apify account (or run it directly from the Store). 2. Connect your MCP client (Claude Code, Claude Desktop, Cursor, etc.) to the Actor's Standby endpoint: ```bash claude mcp add miami-dade-pa --transport http "https://rl1987--miami-dade-fl-mcp-server.apify.actor/mcp" --header "Authorization: Bearer $APIFY_TOKEN" ```` Swap `rl1987` for the Actor owner's Apify username and set `$APIFY_TOKEN` to *your own* Apify API token (found in [Apify Console → Settings → Integrations](https://console.apify.com/account/integrations)) — not the Actor owner's. Add `--scope local` instead of the default `--scope project` if you don't want the connection committed to a shared `.mcp.json`. 3. Verify the connection with `claude mcp list` (or your client's `/mcp` command) — you should see 5 tools. 4. Ask your agent to look up a property, e.g. "look up the owner and sales history for folio 01-4137-023-0020" or "find all properties owned by SMITH JOHN in Miami-Dade". A team can commit a shared `.mcp.json` (URL only, no token) to a repo; each teammate then runs `claude mcp add --scope local` once with their own token. ### Input This Actor exposes no batch/dataset input schema — it runs in Standby mode as a live MCP server. All configuration happens per tool call, driven by your MCP client / LLM. See **Tools** below for each tool's parameters. ### Tools | Tool | Mirrors | Parameters | Returns | |---|---|---|---| | `search_by_address` | ADDRESS tab | `address`, `unit` (optional), `offset`, `limit` | Matching properties: folio/strap, owners, site address, subdivision, status | | `search_by_owner` | OWNER NAME tab | `owner_name`, `offset`, `limit` | Same as above, matched by owner name | | `search_by_subdivision` | SUBDIVISION NAME tab | `subdivision_name`, `offset`, `limit` | Same as above, matched by subdivision | | `search_by_partial_folio` | FOLIO tab | `partial_folio`, `offset`, `limit` | Same as above, matched by partial folio | | `get_property_by_folio` | Property Record Card | `folio` (13 digits, dashes optional) | Full record: ownership, mailing/site address, legal description, assessment & taxable values by year, exemptions/benefits, land, building, extra features, full sales history | Each search tool returns a list of results with a `Strap` (folio) field — feed that into `get_property_by_folio` to fetch the complete record for any match. ### Output example ```json { "Completed": true, "PropertyInfo": { "FolioNumber": "01-4137-023-0020", "DORDescription": "COUNTY : OFFICE BUILDING", "Municipality": "Miami", "LotSize": 320035 }, "OwnerInfos": [{ "Name": "MIAMI-DADE COUNTY" }], "Assessment": { "AssessmentInfos": [ { "Year": 2026, "TotalValue": 102900000, "LandValue": 80008750 } ] }, "SalesInfos": [] } ``` Every tool call returns the raw, structured JSON from the county's own API — no HTML scraping, no data loss from re-formatting. **Known caveat:** verified against the live Property Search site, every section matches exactly (assessment, taxable, benefits, legal description, land, building, sales history) except `Additionals` (GIS-derived land-use flags). Three of its fields — Community Development District, Community Redevelopment Area, Empowerment Zone — can come back as the raw sentinel `"COUNTYGIS"` instead of the resolved value; on the live site those often resolve to `"NONE"`. The county's own SPA resolves this with extra GIS map-service calls this Actor doesn't replicate. Don't treat `"COUNTYGIS"` in `Additionals` as a literal answer for those three fields. ### Pricing / Cost estimation This Actor uses [Pay Per Event](https://docs.apify.com/platform/actors/publishing/monetize#pay-per-event-pricing-model) pricing: a flat fee per completed tool call (see the Actor's Monetization tab for the current price). There's no charge for failed calls or for connecting/idling. A typical due-diligence lookup (one search + one full record fetch) costs two tool-call events. ### Tips - Use `search_by_partial_folio` for folio-prefix/typeahead-style lookups when you don't have the full 13-digit number. - `offset`/`limit` paginate large result sets (e.g. common owner names or large subdivisions) — default page size is 25. - Folio numbers work with or without dashes (`01-4137-023-0020` or `0141370230020`). ### FAQ, disclaimers & support This Actor reads the same public data the Miami-Dade Property Appraiser's own Property Search website serves to any visitor. It is provided for informational purposes; assessment/tax data is continually updated by the county and this Actor may not reflect the very latest roll — always verify against [miamidadepa.gov](https://www.miamidadepa.gov/pa/home.page) for official purposes. Not affiliated with Miami-Dade County or the Property Appraiser's office. The county's separate PRC/VAB advanced-search tool (`PAOnlineTools/PRC/PRCadvancedSearch.aspx`) is a Value Adjustment Board hearing/agenda tool behind bot-mitigation, not a general property search — it is out of scope for this Actor. Found a bug or want a feature added? Use the Issues tab on this Actor's page. ### Resources - [Miami-Dade Property Search](https://apps.miamidadepa.gov/PropertySearch/#/) - [Model Context Protocol](https://modelcontextprotocol.io) - [FastMCP documentation](https://gofastmcp.com/getting-started/welcome) - [Apify Standby mode](https://docs.apify.com/platform/actors/development/programming-interface/standby) # 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/miami-dade-fl-mcp-server").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/miami-dade-fl-mcp-server").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/miami-dade-fl-mcp-server --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=rl1987/miami-dade-fl-mcp-server", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Miami-Dade FL Property Appraiser MCP Server", "description": "MCP server exposing Miami-Dade County FL Property Appraiser search (address, owner, subdivision, folio) and full property records.", "version": "0.1", "x-build-id": "sr82aEWztO2VjHPoG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/rl1987~miami-dade-fl-mcp-server/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-rl1987-miami-dade-fl-mcp-server", "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~miami-dade-fl-mcp-server/runs": { "post": { "operationId": "runs-sync-rl1987-miami-dade-fl-mcp-server", "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~miami-dade-fl-mcp-server/run-sync": { "post": { "operationId": "run-sync-rl1987-miami-dade-fl-mcp-server", "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 } } } } } } } } } } ```