AgentFire MCP. Track lead interest and manage listings from chat.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
AgentFire MCP Server connects your AI client to your real estate website data. Use it to list, manage, and update property listings and capture lead details programmatically.
Your agent can find specific properties, track lead history, and monitor engagement metrics—all without you manually logging into your CRM or WordPress dashboard.
It’s full control over your lead capture and listing management, driven by conversation.
What your AI agents can do
Check agentfire status
Checks the connection status and connectivity of the AgentFire API.
Create lead
Creates a new lead profile after receiving required email data.
Get lead
Retrieves detailed information for a specific lead ID.
The agent can use create_lead to submit new contact information and use list_leads or get_lead to track and view existing lead details.
The agent can use list_listings to get a full directory or search_listings to find properties based on criteria.
The agent accesses engagement metadata to find out which properties a lead clicked on and how often, using the combined data from get_lead and get_listing.
The agent can use update_lead to modify specific fields of an existing lead profile when new information comes in.
The agent can pull a list of all contacts (list_contacts) or retrieve your own AgentFire account profile (get_profile) for reference.
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AgentFire MCP Server: 10 Tools for Real Estate Data
These tools let your AI agent read, write, and manage all data points—from new leads to property listings—in your AgentFire account.
019dd0b4check agentfire status
Checks the connection status and connectivity of the AgentFire API.
019dd0b4create lead
Creates a new lead profile after receiving required email data.
019dd0b4get lead
Retrieves detailed information for a specific lead ID.
019dd0b4get listing
Gets all specific details about a single property listing.
019dd0b4get profile
Retrieves the user's personal AgentFire account profile details.
019dd0b4list contacts
Lists all current contact records associated with your brokerage account.
019dd0b4list leads
Retrieves a list of all captured lead records.
019dd0b4list listings
Lists every property listing available in your AgentFire system.
019dd0b4search listings
Searches the entire database of property listings based on specific criteria.
019dd0b4update lead
Changes specific fields on an existing lead profile; only provided data is modified.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with AgentFire, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
AgentFire MCP Server connects your AI client to your real estate website data. Use it to list, manage, and update property listings and capture lead details programmatically. Your agent can find specific properties, track lead history, and monitor engagement metrics—all without you manually logging into your CRM or WordPress dashboard.
It’s full control over your lead capture and listing management, driven by conversation.
Managing Leads and Contacts
Your agent can use create_lead to submit new contact info when you get a lead, and it can use list_leads or get_lead to pull up existing lead details. You can also pull a list of all contacts with list_contacts, and check your own AgentFire account details with get_profile. When you get new info on a lead, your agent can use update_lead to change specific fields on that profile; you only provide the data you want to modify.
Working with Property Listings
Your agent lets you pull a full directory of all property listings with list_listings, or you can use search_listings to narrow down properties using specific criteria. If you know the listing ID, your agent gets all the details on that single property with get_listing. You can check the overall connection health of the system with check_agentfire_status.
Tracking User Interest
Your agent tracks which properties a lead clicked on and how often using combined data from get_lead and get_listing. You can view a list of all available properties with list_listings and find specific properties using search_listings.
How it Works
Your agent doesn't just read data; it acts. You give it a task—say,
How AgentFire MCP Works
- 1 First, subscribe to the AgentFire server and retrieve your unique API Key from your AgentFire dashboard (Integrations > REST API).
- 2 Next, connect your AI client (Claude, Cursor, etc.) using the MCP standard and input your API Key.
- 3 Finally, use natural language commands to direct your agent. For example: 'List all leads who looked at the Modern Villa listing this week.' The agent executes the necessary tools and returns the compiled data.
The bottom line is, your AI client uses the API key to talk directly to AgentFire, and the server runs the data queries for you.
Who Is AgentFire MCP For?
This is for real estate professionals who spend too much time juggling dashboards, spreadsheets, and multiple logins. If you're an agent who needs to know why a lead is cold, or a marketing lead who needs to confirm engagement data instantly, this saves you hours of manual cross-referencing.
Instantly retrieves lead summaries and monitors property interest using natural language commands, allowing immediate follow-up.
Verifies individual lead engagement and tracks web conversions directly from the AI agent, without leaving the chat interface.
Integrates AgentFire's high-speed data into custom automation workflows by calling tools like get_lead or list_listings via simple AI queries.
What Changes When You Connect
- See exactly which properties a lead looked at. Instead of manually checking a dashboard, ask the agent to retrieve engagement metadata for a lead ID, giving you instant insight into their interests.
- Keep your CRM perfectly synced. Use
get_leadandupdate_leadto pull and modify lead records programmatically. This ensures your contact data is always current, regardless of where you work. - Never miss a listing update. Run
list_listingsto get a comprehensive directory of all properties. If you need to find something specific, usesearch_listingsinstead. - Verify API health instantly. Use
check_agentfire_statusto confirm that the connection between your AI client and AgentFire is active before running complex workflows. - Automate lead creation. If you get a new email address at a showing, use
create_leadto instantly add the profile to your system without opening a browser. - Know your account status. Use
get_profileto quickly pull your personal AgentFire account data, ensuring all associated details are correct for reporting.
Real-World Use Cases
A lead is interested in a specific neighborhood.
A client asks: 'Show the property interest for lead ID 'lead_123'.' The agent uses internal metadata to confirm the lead clicked on 'Modern Villa' (ID: prop_789) five times today, and also retrieves their search history. You immediately know where to focus your sales pitch.
Need to update lead details after a call.
You just finished a call and gathered new info. Instead of logging into the CRM, you tell your agent: 'Update lead ID 'lead_456' with their budget being $750k.' The agent runs update_lead, changes the necessary fields, and you move on.
Review all leads captured this month.
You ask your agent: 'List all new leads captured in AgentFire this week.' The agent runs list_leads, provides a count of new profiles, and offers to pull detailed engagement metadata for the top prospects.
Checking for stale or inactive listings.
You ask: 'Check for any active listings with zero engagement this month.' The agent runs a query and identifies 3 active listings, including 'Condo B', that haven't been clicked on, letting you prioritize marketing efforts.
The Tradeoffs
Manual data entry for new leads
A prospect gives you their email at a showing. You open your CRM, find the 'Add Lead' form, copy the email, paste it, and hit submit. This takes 30 seconds and requires focus.
→
Tell your agent: 'Create a new lead with the email [email@example.com].' The agent runs create_lead and instantly submits the data without you touching a browser.
Guessing if a listing is still active
You see a listing in a spreadsheet, but you aren't sure if it's still available or if the details are current. You waste time calling the listing agent for confirmation.
→
Ask your agent to run get_listing using the listing ID. You get the most current, verified details directly in the chat, eliminating unnecessary calls.
Forgetting what data is available on a lead
You know a lead exists, but you can't remember if they clicked on a villa or an industrial loft, or what their last search history was.
→
Ask your agent to run a detailed query using get_lead and related metadata. It compiles the search history and engagement metrics into one summary.
When It Fits, When It Doesn't
Use this if you need to manage real estate data flow—specifically, if you need to ingest leads, track property views, or update records programmatically. It excels at converting conversational intent into structured data queries. Don't use this if your goal is simply to view a static, non-API-backed document (like a PDF brochure). For simple, read-only data retrieval, you might only need list_listings. But if you need to act on that data—like creating a lead or updating a status—you need the full suite. The key is that this server handles the full lifecycle: from initial inquiry (create_lead) to qualified opportunity (update_lead).
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AgentFire. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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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 server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Logging into your CRM just to check a lead's activity is a massive time sink.
Right now, figuring out what a lead actually looked at involves opening your CRM, finding the lead profile, navigating to the 'Engagement' tab, and then cross-referencing that with the 'Search History' tab. It's a minimum of three clicks and two different screens just to get a clear picture of interest.
With the AgentFire MCP Server, you just tell your agent: 'What was the engagement for lead 123?' The agent runs the necessary metadata tools and returns a single, synthesized answer, including specific clicks and search history. You get the answer instantly.
AgentFire MCP Server: Manage Leads & Listings
The agent handles the data pipeline for you. You don't have to manually call `list_contacts` and then `get_profile` to verify data; the system orchestrates the necessary checks. You simply ask for the summary.
The difference is that you are talking to the data layer directly. You don't navigate forms; you issue commands. This means your workflow is faster, more accurate, and stays contained within your AI chat.
Common Questions About AgentFire MCP
How do I check the connection status using the AgentFire MCP Server? +
You use the check_agentfire_status tool. This verifies that the API connection is live and ready for you to run lead or listing queries.
Can I update a lead's budget using the AgentFire MCP Server? +
Yes, use the update_lead tool. You only need to provide the fields you want to change, and the agent handles updating the rest of the record.
What tools can I use to find specific properties? +
You can use search_listings for targeted searches, or run list_listings if you just want to see the full directory of all available properties.
Does AgentFire MCP Server track historical lead data? +
Yes. You can use get_lead to retrieve detailed information, which includes metadata on the lead's search history and engagement signals.
Can I create a new lead profile with the AgentFire MCP Server? +
Yes. Use the create_lead tool and provide the required email address to instantly add a new lead to your system.
How do I use the `list_listings` tool to see all available properties? +
The list_listings tool pulls a complete inventory of all properties managed in AgentFire. You'll get a list of every active listing, which helps you see what's available to clients right now.
What should I do if I get an error when running `update_lead`? +
If you hit an error, check your API key and ensure you're only providing the fields you intend to change. The update_lead tool only changes the specific data points you pass into the request.
Can I use `search_listings` to filter properties by specific criteria? +
Yes, the search_listings tool accepts filters like price range or location. This lets you narrow down the results immediately, so you only get properties that match your client's needs.
How do I find my AgentFire API Key? +
Log in to your AgentFire dashboard, navigate to Integrations > REST API, and copy your unique Access Token.
Can I see individual property clicks via AI? +
Yes! The list_leads tool allows your agent to retrieve interest signals and property engagement metadata for all your contacts.
How do I list my active listings? +
Use the list_listings tool to retrieve your complete directory along with the unique identifiers for all managed properties.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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