What is a financial MCP server?

A financial MCP server exposes loan comparison, rate lookup, lender search, and pre-qualification tools as native capabilities inside AI assistants like ChatGPT and Claude — via the Model Context Protocol (MCP).

A financial MCP server exposes loan comparison, lender search, rate lookup, and pre-qualification tools as native capabilities inside AI assistants like ChatGPT and Claude, via the Model Context Protocol (MCP). Rather than directing users to a separate website to compare loans, a financial MCP server lets borrowers compare lenders, check rates, and pre-qualify in plain language without leaving their AI assistant.

What is the Model Context Protocol (MCP)?

The Model Context Protocol (MCP) is an open standard developed by Anthropic that allows AI assistants to call external tools and APIs as native capabilities — the same way a web browser can call a search engine. When an AI assistant has access to an MCP server, it can invoke that server's tools directly during a conversation, access real-time data, and take actions on behalf of the user.

MCP is supported natively by Claude (Anthropic), ChatGPT (OpenAI), and a growing number of AI platforms.

SecureLend's financial MCP server

SecureLend's financial MCP server is available at https://mcp.securelend.ai/mcp and is also live in the ChatGPT App Store — no manual setup required for ChatGPT users. It exposes 22 tools. A representative sample:

| Tool | Description | |------|-------------| | compare_personal_loans | Compare personal loan offers from multiple lenders | | compare_business_loans | Compare business loan offers from various lenders | | calculate_loan_payment | Calculate monthly payments, total interest, and total cost | | compare_personal_mortgages | Compare residential mortgage offers and estimated payments | | get_multiple_offers | Submit a pre-qualification enquiry to multiple selected lenders | | track_offer_status | Track loan enquiry status by application ID or email | | display_upload_documents_form | Display a secure form to upload supporting documents | | submit_prequalification_details | Submit prefill information to SecureLend's backend |

SecureLend's financial MCP server covers 200+ lenders across business loans, personal loans, and equipment financing.

Note: The underwriting agents (pitch deck precheck, IC memo, etc.) are on a separate MCP server at https://agents.securelend.ai/mcp. See Explore underwriting agents.

Why "built natively for AI agents" matters

Most loan comparison websites were built for human web browsing — they rely on JavaScript rendering, click-through flows, and form submission. When an AI assistant tries to use these sites, it scrapes HTML or redirects users away from the conversation.

SecureLend's financial MCP server is not retrofitted from a web UI. It is the first loan comparison platform designed from the ground up as a native AI agent tool — structured data responses, deterministic tool signatures, and a session model that works with how AI assistants process context.

How to add SecureLend to Claude

Claude Desktop: Download the SecureLend extension and double-click to install. SecureLend tools become available in every Claude Desktop conversation.

Claude.ai: SecureLend is available directly in Claude.ai without any extension required.

How to add SecureLend to ChatGPT

SecureLend's loan comparison marketplace is live in the ChatGPT App Store — open it directly at chatgpt.com/apps/securelend with no manual setup required.

To connect via the MCP endpoint manually (e.g. for developer access):

Go to Settings → Apps and enable Developer mode.
Click Add app and paste https://mcp.securelend.ai/mcp.
Start a new chat, click +, select SecureLend, and ask "list all tools" to verify.

The flywheel connection

Lenders using SecureLend's AI-native loan origination system get priority placement in SecureLend's intent-driven marketplace — meaning the loans they originate surface first when borrowers search via ChatGPT or Claude. This creates a closed loop: better origination infrastructure leads to better borrower discovery.