LendAPI MCP. Automate loan lifecycle, from profile creation to credit decision.
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…and any MCP-compatible client
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LendAPI connects your AI agent directly to loan origination, borrower profiles, and credit decisioning services. It lets you list all borrowers using `list_borrowers`, pull detailed application status with `get_application_details`, or submit a full profile for automated risk review via `submit_loan_application`.
This is the core toolset for automating lending workflows.
What your AI agents can do
Create loan application
Creates a completely new loan application draft, requiring specific details in the request body.
Create new borrower
Establishes a brand-new borrower profile record within your system using provided personal data.
Get application details
Retrieves all current status and metadata for one specific loan application ID.
Lists every registered borrower profile in your system or retrieves the full details of one specific individual.
Creates new loan applications, lists all existing ones, and fetches detailed status reports for any given application ID.
Submits a complete loan application package to the system's automated engine for risk assessment and credit decisioning.
Creates entirely new borrower records or initializes a fresh loan application draft based on structured data inputs.
Retrieves current, valid values for required metadata fields (like industry or purpose) to ensure compliance before submission.
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LendAPI MCP Server: 8 Tools for Lending Operations
Use these tools to manage the full lifecycle of loan accounts, from initial borrower creation and data gathering through application submission and status tracking.
019d75c6create loan application
Creates a completely new loan application draft, requiring specific details in the request body.
019d75c6create new borrower
Establishes a brand-new borrower profile record within your system using provided personal data.
019d75c6get application details
Retrieves all current status and metadata for one specific loan application ID.
019d75c6get borrower details
Fetches the comprehensive profile, history, and associated data for a single borrower ID.
019d75c6get lendapi picklists
Returns current valid options lists for metadata fields (e.g., industry codes or purpose types) to ensure data quality.
019d75c6list borrowers
Returns a paginated list of basic information for all borrowers currently registered in the system.
019d75c6list loan applications
Provides an overview and status summary for every loan application draft or submitted file.
019d75c6submit loan application
Takes a ready-to-go application package and sends it to the system's automated engine for final credit review.
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 LendAPI, 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
LendAPI connects your AI agent directly to everything required for loan origination, borrower profiles, and credit decisioning. You'll use this server when you need your agent to handle the full lending workflow—from initial profile setup right through to submitting a package for automated risk review.
Managing Borrower Profiles
To see who’s in the system, your agent can run list_borrowers, which returns a paginated list of basic info for every borrower registered. If you need the deep dive on one specific person's history and associated data, use get_borrower_details with just their ID. When you onboard someone new, running create_new_borrower establishes that brand-new profile record using all the personal data you provide.
Handling Loan Applications
When it comes to applications, your agent can get an overview of every draft or submitted file by calling list_loan_applications. For a detailed status report on any single application ID, use get_application_details. If you need to start from scratch and create a whole new loan application draft, create_loan_application handles that, requiring specific details in its request body.
Validating Data Inputs
Before submission, you gotta make sure the data is clean. Use get_lendapi_picklists to pull current, valid options lists for metadata fields—think industry codes or purpose types—so your agent knows exactly what values are compliant.
Triggering Credit Reviews and Submissions
Once an application package is ready, you send it over with submit_loan_application. This tool takes the finished goods and sends them to the system's automated engine for final credit review. The whole process lets your agent automate lending workflows by interacting directly with borrower profiles, managing drafts, and triggering the critical decisioning steps.
How LendAPI MCP Works
- 1 Subscribe to the LendAPI MCP Server and enter your API Key as a Bearer Token.
- 2 Your AI client sends a natural language prompt (e.g., 'Check status for APP-123').
- 3 The agent invokes the appropriate tool (
get_application_details), pulls the data, and returns the result to you in plain text.
The bottom line is: your AI client acts as a single pane of glass that executes complex backend financial operations without you writing code.
Who Is LendAPI MCP For?
Lending Managers, Underwriters, and Fintech Developers. This toolset solves the problem of jumping between multiple internal systems (CRM, Core Banking, Risk Engine) just to process one loan. If your job involves moving data from initial intake through final approval, you need this.
Quickly pulls and cross-references applicant metadata using get_borrower_details and checks current application drafts with list_loan_applications without leaving the dev environment.
Monitors the entire pipeline. They use list_borrowers to audit accounts and trigger bulk actions like creating new profiles via create_new_borrower.
Integrates complex loan origination logic into custom applications by calling tools like create_loan_application or submit_loan_application programmatically.
What Changes When You Connect
- Real-time status tracking. Need to know where an application stands? Use
get_application_detailsto pull the current stage and associated borrower metadata instantly. - Data integrity guaranteed. Before you submit anything, run
get_lendapi_picklists. This prevents bad data entry by giving your agent access to valid codes for industries or purposes. - Full lifecycle control. Don't just read data. You can create a profile (
create_new_borrower), draft an application (create_loan_application), and finally submit it all in one conversation flow. - Auditing made easy. Instead of clicking through dozens of records, use
list_borrowersto see every person on file at a glance. Essential for compliance checks. - Automated decisioning. When the paperwork is done, calling
submit_loan_applicationsends it directly to the engine. You bypass manual review steps and get an immediate risk outcome.
Real-World Use Cases
Onboarding a New Client
A loan manager needs to process John Doe, who was just referred. First, they call create_new_borrower with his basic data. Next, they use get_lendapi_picklists to select the correct purpose code. Finally, they build and submit a draft using create_loan_application and then trigger submit_loan_application.
Auditing High-Value Loans
An underwriter needs to check 50 applications for compliance. They use list_loan_applications to get a list of IDs, and then loop through them using get_application_details to verify the status and ensure no application is stuck in 'Draft' mode.
Troubleshooting Missing Data
The agent can't find details for a specific person. Instead of guessing, it runs list_borrowers, filters by name or date range, and then uses get_borrower_details on the resulting ID to get the full history.
Bulk Data Preparation
A developer needs to build a dashboard for risk reporting. They use list_borrowers for the count, and then call get_lendapi_picklists repeatedly to ensure their app uses standardized codes across all records.
The Tradeoffs
Assuming data is fresh
Running a report using list_borrowers on Monday, and then calling submit_loan_application on Friday without checking for changes.
→
Always check the current state first. After listing profiles with list_borrowers, always use get_borrower_details or run validation checks before submitting a final application via submit_loan_application.
Skipping data validation
Manually inputting an industry code (like 'Tech') that doesn't exist in the core system, leading to immediate rejection.
→
Before building any record, call get_lendapi_picklists. Use the returned valid values for purposes and industries when running create_loan_application or create_new_borrower.
Over-relying on listing tools
Just using list_loan_applications to determine if a loan is ready for submission, missing the actual risk score.
→
Listing only provides status. To get the final decision, you must use submit_loan_application. The list tool doesn't run the engine; it just checks the queue.
When It Fits, When It Doesn't
Use this server if your workflow requires controlling the entire loan lifecycle: from initial identity creation (create_new_borrower) and drafting through to final automated submission (submit_loan_application). This is for operational systems that need full state control.
Don't use it if you just need a simple read-only dashboard. If your goal is merely 'Show me who I talked to today,' then basic contact tools are better. You should only pull data using get_borrower_details or list_loan_applications; never mistake reading the status for actually submitting the request.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LendAPI. 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 8 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Processing a loan application shouldn't feel like navigating five different internal tabs.
Today, you pull up the CRM to get basic contact info. Then you open the Core Banking system to see if they have an active account. You switch over again to the Risk Engine just to check required metadata picks. Finally, you copy all that data into a submission form and hit send. It's manual, it's slow, and it's prone to copy-paste errors.
With this MCP server, your agent handles the handoffs. You tell your AI client what you need—like 'Review John Doe’s application.' The agent runs `get_borrower_details`, checks picklists with `get_lendapi_picklists`, and compiles everything before giving you a clear answer.
The LendAPI MCP Server: Control the entire loan lifecycle.
Gone are the hours spent switching between systems to gather enough data. You no longer need to manually check if an industry code is valid or if a borrower's profile needs updating before starting the application draft.
The agent manages the state for you. It ensures that when you finally call `submit_loan_application`, every piece of required metadata and every necessary step has been completed.
Common Questions About LendAPI MCP
How do I get a list of all my borrowers using list_borrowers? +
You simply ask your agent to 'List all registered borrowers.' The tool returns basic identifying information for everyone currently on file.
Can I create an application draft without creating the borrower first? (create_loan_application) +
It's best practice to run create_new_borrower first. While you can initiate a draft with create_loan_application, having the full profile ensures all linked data points are available immediately.
What does get_lendapi_picklists do? +
This tool retrieves a list of valid, current values for metadata fields. You use this to validate that any industry or purpose code you input is recognized by the system.
Do I need to run get_borrower_details before submitting? (submit_loan_application) +
Yes, it's critical. While submit_loan_application takes a package, using get_borrower_details first ensures your agent has the most recent data profile for that borrower, mitigating risk of data drift.
When calling `get_borrower_details`, what authentication method should I use for my API key? +
You must pass your Bearer Token in the request headers. Your AI client sends it to confirm secure access and authorization for borrower data.
When using `get_application_details`, how can my agent handle a 'Not Found' status for an application ID? +
The tool returns a specific HTTP 404 error response. Your agent needs to check the response code first; if it hits 404, it means the ID doesn't exist.
What required JSON fields does the `create_new_borrower` tool need to successfully create a profile? +
It requires at minimum identifiers, full name, and a contact email. Always check the schema documentation for any mandatory parameters before calling it.
Does running `list_loan_applications` support filtering by status or date range? +
Yes, you can pass filters specifying statuses or date ranges. The tool handles pagination automatically if your results exceed the default page limit.
How do I trigger an automated credit decision? +
Use the submit_loan_application tool with the unique application ID. This will trigger the rules-based or AI-driven decision engine configured in your LendAPI account.
Can I search for valid values for specific fields like 'purpose'? +
Yes, the get_lendapi_picklists tool allows you to retrieve the full list of allowed values for various metadata fields, ensuring your application data is compliant.
Is it possible to manage borrower profiles via the agent? +
Absolutely. You can list all borrowers, retrieve detailed profile information, and create new borrower records using the specific borrower tools provided.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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