Ratehub Mortgage
Compare published Canadian mortgage rates from your AI assistant.

618 MCP servers with 12,363+ tools, ready to connect to Claude, ChatGPT, Cursor and Agentman agents over the Model Context Protocol.
92 of 618 connectors in FinanceShow all
Compare published Canadian mortgage rates from your AI assistant.
Query a live general ledger and post to it.
Ask one natural-language question and let S&P Global's router pick the datasets.
Query S&P Capital IQ financials, prices, transcripts and M&A data.
Three tools dispatching to 283 Square API methods — take a payment, issue a refund, publish an invoice that emails the…
Read customers, invoices, subscriptions and disputes, and issue refunds, from an AI assistant.
Read KYC/AML verification data and create applicants from an AI agent.
Query billing, revenue, contract, invoice and payment data from your AI assistant.
Ask tax questions grounded in TaxAct's verified TY2025 knowledge base.
Query Third Bridge's 100,000+ expert interview transcripts.
Run a Ticket Tailor box office: create events, issue and void tickets, manage orders, discounts, holds.
Read live and historical prices, indicators and fundamentals.
Query ISO advisory prospective loss costs, experience trends and loss cost indications.
Build and refine property restoration estimates in XactRestore.
Query equity prices, fundamentals, transcripts and news from 30+ data partners.
Query Webull balances, positions, order history and market data.
Ask about a Xero organisation's profit, cash, aged receivables and payables, invoices and top customers.
Query Yardi property data and file maintenance work orders.
Read income statement, balance sheet and cash flow data for North American public companies.
Read advisor meeting transcripts, client records and AI results from Zocks.
Product names and logos belong to their owners. Each connector is built by its own developer, and Agentman is not affiliated with them. The ones Agentman builds and runs are marked “Built and run by Agentman”.
A server that exposes a tool’s capabilities over the Model Context Protocol, so an AI agent can call them directly. It is the standard way to let an assistant act in a system rather than just describe it.
Each server page carries its connection URL, which works in any MCP-compatible client. In Agentman Studio connecting is one click and there is no config file to edit.
Most are not. Each is built by its own developer, and each page names them and links to their documentation. The few Agentman builds and runs are marked “Built and run by Agentman”. Every page lists what the server exposes and cites the sources its factual claims come from.
Each page lists the tools the server exposes. Where we could read the server directly, every tool carries the safety label its vendor gave it: read-only, acts, or destructive. Each page also has a Limits section; read both before connecting anything to a production system.
Connect any of these once and your agents call their tools on their own: on a schedule, in a workflow, with nobody at the keyboard.