2,500+ MCP servers ready to use
Vinkius

Fig Finance MCP Server for Pydantic AI 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Fig Finance through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Fig Finance "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Fig Finance?"
    )
    print(result.data)

asyncio.run(main())
Fig Finance
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Fig Finance MCP Server

Fig Finance is an AI-powered embedded finance platform for emerging markets. This MCP server allows your AI agent to interact with your Fig Finance account flawlessly.

Pydantic AI validates every Fig Finance tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

Key Features

  • Customer Orchestration — Register and manage customer profiles for real-time credit assessment natively.
  • Loan Intelligence — Query tailored loan offers and track application statuses flawlessly through the agent.
  • Disbursement Flow — Trigger and monitor fund disbursements for approved loans synchronously.
  • Repayment Tracking — Access detailed repayment schedules and status for active loans flawlessly.
  • Financial Overview — Monitor your account balance and transaction history flawlessly natively.
  • Identity Verification — Verify the authorized application and profile details through the agent flawlessly.

The Fig Finance MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Fig Finance to Pydantic AI via MCP

Follow these steps to integrate the Fig Finance MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 12 tools from Fig Finance with type-safe schemas

Why Use Pydantic AI with the Fig Finance MCP Server

Pydantic AI provides unique advantages when paired with Fig Finance through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Fig Finance integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Fig Finance connection logic from agent behavior for testable, maintainable code

Fig Finance + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Fig Finance MCP Server delivers measurable value.

01

Type-safe data pipelines: query Fig Finance with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Fig Finance tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Fig Finance and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Fig Finance responses and write comprehensive agent tests

Fig Finance MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect Fig Finance to Pydantic AI via MCP:

01

apply_for_loan

Apply for a loan on behalf of a customer

02

create_customer

Register a new customer for lending

03

disburse_funds

Trigger fund disbursement for an approved loan

04

get_balance

Get current wallet balance in Fig Finance

05

get_customer

Get details for a specific customer

06

get_loan_offers

Get available loan offers for a customer

07

get_loan_status

Get the current status of a loan

08

get_me

Get details for the authorized application account

09

get_repayments

Get the repayment schedule and status for a loan

10

list_customers

List all customers in your Fig Finance account

11

list_loans

List all loans in the account

12

list_transactions

List all financial transactions

Example Prompts for Fig Finance in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Fig Finance immediately.

01

"List all customers in my Fig Finance account."

02

"Show me the available loan offers for customer cust_101."

03

"What is my current account balance?"

Troubleshooting Fig Finance MCP Server with Pydantic AI

Common issues when connecting Fig Finance to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Fig Finance + Pydantic AI FAQ

Common questions about integrating Fig Finance MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Fig Finance MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Fig Finance to Pydantic AI

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.