How to Use the LendAPI MCP in CrewAI

Q: Can I restrict which LendAPI tools my CrewAI crew sees?

Yes. Use the toolfilter parameter in your agent configuration to limit access. This ensures your agents only use the specific tools required for their assigned role.

Connect LendAPI to your CrewAI agents. Automate borrower records and loan application workflows directly within your autonomous agent team.

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Connect LendAPI MCP to CrewAI

Create your Vinkius account to connect LendAPI to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup LendAPI with CrewAI

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Automate borrower and loan records

Your agents can now handle data entry without manual intervention. By using `create_new_borrower` and `create_loan_application`, your crew populates borrower profiles and loan requests in real-time. This removes the need for human oversight during initial intake. Your agents pull required schema definitions from `get_lendapi_picklists` to ensure every submission matches your internal data standards.

Sync application state with CrewAI

Keep your agents informed on current progress by querying the backend. Agents use `list_loan_applications` and `get_application_details` to monitor status updates as they happen. When a file is ready for review, the crew triggers `submit_loan_application` to move the process forward. This closes the loop between data gathering and final credit decisioning.

Retrieve granular borrower data

Your agents perform deep dives into existing records using specialized lookup tools. Calling `get_borrower_details` allows the team to verify identity or history before making a decision. This provides the necessary context for your agents to act with accuracy. With `list_borrowers`, the crew maintains a live view of your entire portfolio without leaving the CrewAI environment.

Setup guide

Set up LendAPI MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke LendAPI tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="LendAPI Analyst",
    goal="Access and analyze LendAPI data via MCP.",
    backstory="Expert analyst with direct LendAPI access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent LendAPI transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="LendAPI Analyst",
        goal="Access and analyze LendAPI data via MCP.",
        backstory="Expert analyst with direct LendAPI access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent LendAPI transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

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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Common questions about LendAPI MCP in CrewAI

You provide your endpoint token during the initial server setup. The MCP server handles the handshake, keeping your credentials out of your agent's task logic.

Yes. Use the tool_filter parameter in your agent configuration to limit access. This ensures your agents only use the specific tools required for their assigned role.

It does. You can configure your crew to poll for status updates using the server's listing tools. This allows agents to wait for external processing before taking the next step.

The server treats borrower PII as transient data. It only processes the fields strictly necessary for the API call, ensuring no sensitive information persists in your agent's memory beyond the task lifecycle.

Absolutely. You can route the MCP server output to your agent's logs. This shows exactly what payload was sent to the server for each `submit_loan_application` request.

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