# MCP: Property Records Intel - Owner, Tax, Equity (`seibs.co/mcp-property-records-intel`) Actor MCP server for property-records-intel. AI-agent tools: search\_properties, get\_parcel\_profile, find\_owner\_portfolio, scan\_distress, lookup\_by\_address across US county assessor/recorder records. x402 (USDC on Base) and Skyfire ready. For real-estate investors, PropTech, lenders, insurers. - **URL**: https://apify.com/seibs.co/mcp-property-records-intel.md - **Developed by:** [Seibs.co](https://apify.com/seibs.co) (community) - **Categories:** Real estate, Business, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $5.00 / 1,000 mcp tool calls This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## MCP: Property Owner, Tax & Deed Records Intel - for AI Agents > **MCP server wrapper** for [property-records-intel](https://apify.com/seibs.co/property-records-intel). Exposes five AI-agent tools over the unified US county assessor / property-tax / recorder data (verified-live: NYC, DC; LA by address/APN; plus a national catalog of major counties) - property search, parcel profiles, owner portfolios, equity/distress scoring, and address lookup. **x402 (USDC on Base) and Skyfire agentic-payment ready** - an AI agent can pay per call with no pre-provisioned API token when MCP monetization is enabled. ### Tools | Tool | What it does | |---|---| | `search_properties` | Search county property records by owner name; return normalized parcels (APN, owner, address, land use, assessed value, sale history, tax status). | | `get_parcel_profile` | Deep profile for one parcel by `{county, apn}` incl. assessed/land/improvement value, sale history, deed type, tax status, owner. | | `find_owner_portfolio` | Resolve an owner to their full multi-parcel footprint across counties, with a `portfolio_owner` flag - the wholesaler/investor signal. | | `scan_distress` | Score parcels (by owner or address) for equity + motivation signals: tax delinquency, absentee / out-of-state owner, estimated equity, estate/trust, long tenure, portfolio owner. | | `lookup_by_address` | Resolve a property (situs) address to its owner + assessment facts. | ### Run modes - `list_tools` - emit the MCP tool catalog + the agentic-payment descriptor (free). - `call_tool` - invoke one tool with `{ "tool": "...", "args": {...} }`. - `batch` - invoke up to 10 `{tool, args}` calls in one run. ```json { "mode": "call_tool", "tool": "find_owner_portfolio", "args": { "owner": "ACME PROPERTIES LLC", "counties": ["NYC", "DC", "MECK_NC"] } } ```` ### Pricing Flat **$0.005 per MCP tool call**, plus the upstream property-records-intel PPE events charged to the same run (`property_record` $0.008, `owner_enrichment` $0.012, `equity_distress_signal` $0.015). x402 (USDC on Base) and Skyfire enable token-less per-call payment for direct AI agents when the operator enables MCP monetization. A `list_tools` call is free. ### Responsible use County property records are public-by-law; this server uses public-record fields only (owner name, tax-roll mailing address, assessment + recorded-sale facts) and does **not** skip-trace into private phone/email data. Equity/distress figures are assessor-derived estimates, not verified title/lien determinations, and may not be used for FCRA-covered decisions. Pairs with the non-MCP [property-records-intel](https://apify.com/seibs.co/property-records-intel) actor and the rest of the portfolio at https://apify.com/seibs.co. # Actor input Schema ## `mode` (type: `string`): list\_tools = emit the MCP tool catalog (free). call\_tool = invoke one tool (requires 'tool' + 'args'). batch = invoke a list of {tool, args} calls. ## `tool` (type: `string`): Required when mode=call\_tool. One of: search\_properties, get\_parcel\_profile, find\_owner\_portfolio, scan\_distress, lookup\_by\_address. ## `args` (type: `object`): Arguments for the selected tool. Example for search\_properties: {"owner": "ACME PROPERTIES LLC", "counties": \["NYC","DC"]}. ## `calls` (type: `array`): Required when mode=batch. Each entry is an object with 'tool' and 'args'. Example: \[{"tool": "search\_properties", "args": {"owner": "ACME PROPERTIES LLC"}}, {"tool": "scan\_distress", "args": {"owner": "ACME PROPERTIES LLC"}}]. Max 10 calls per run. ## Actor input object example ```json { "mode": "list_tools", "tool": "search_properties", "args": { "owner": "ACME PROPERTIES LLC", "counties": [ "NYC", "DC", "MECK_NC" ] }, "calls": [] } ``` # 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 = { "mode": "list_tools", "args": { "owner": "ACME PROPERTIES LLC", "counties": [ "NYC", "DC", "MECK_NC" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("seibs.co/mcp-property-records-intel").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 = { "mode": "list_tools", "args": { "owner": "ACME PROPERTIES LLC", "counties": [ "NYC", "DC", "MECK_NC", ], }, } # Run the Actor and wait for it to finish run = client.actor("seibs.co/mcp-property-records-intel").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 '{ "mode": "list_tools", "args": { "owner": "ACME PROPERTIES LLC", "counties": [ "NYC", "DC", "MECK_NC" ] } }' | apify call seibs.co/mcp-property-records-intel --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seibs.co/mcp-property-records-intel", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "MCP: Property Records Intel - Owner, Tax, Equity", "description": "MCP server for property-records-intel. AI-agent tools: search_properties, get_parcel_profile, find_owner_portfolio, scan_distress, lookup_by_address across US county assessor/recorder records. x402 (USDC on Base) and Skyfire ready. For real-estate investors, PropTech, lenders, insurers.", "version": "0.1", "x-build-id": "K1sFjRTefqdfmib0k" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seibs.co~mcp-property-records-intel/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seibs.co-mcp-property-records-intel", "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/seibs.co~mcp-property-records-intel/runs": { "post": { "operationId": "runs-sync-seibs.co-mcp-property-records-intel", "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/seibs.co~mcp-property-records-intel/run-sync": { "post": { "operationId": "run-sync-seibs.co-mcp-property-records-intel", "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", "required": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "list_tools", "call_tool", "batch" ], "type": "string", "description": "list_tools = emit the MCP tool catalog (free). call_tool = invoke one tool (requires 'tool' + 'args'). batch = invoke a list of {tool, args} calls.", "default": "list_tools" }, "tool": { "title": "Tool name", "enum": [ "search_properties", "get_parcel_profile", "find_owner_portfolio", "scan_distress", "lookup_by_address" ], "type": "string", "description": "Required when mode=call_tool. One of: search_properties, get_parcel_profile, find_owner_portfolio, scan_distress, lookup_by_address.", "default": "search_properties" }, "args": { "title": "Tool arguments (JSON object)", "type": "object", "description": "Arguments for the selected tool. Example for search_properties: {\"owner\": \"ACME PROPERTIES LLC\", \"counties\": [\"NYC\",\"DC\"]}." }, "calls": { "title": "Batch calls", "maxItems": 10, "type": "array", "description": "Required when mode=batch. Each entry is an object with 'tool' and 'args'. Example: [{\"tool\": \"search_properties\", \"args\": {\"owner\": \"ACME PROPERTIES LLC\"}}, {\"tool\": \"scan_distress\", \"args\": {\"owner\": \"ACME PROPERTIES LLC\"}}]. Max 10 calls per run.", "default": [] } } }, "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 } } } } } } } } } } ```