Fig Finance MCP Server for Pydantic AI 12 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
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.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Fig Finance integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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.
Type-safe data pipelines: query Fig Finance with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Fig Finance tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Fig Finance and output structured, schema-compliant notifications
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:
apply_for_loan
Apply for a loan on behalf of a customer
create_customer
Register a new customer for lending
disburse_funds
Trigger fund disbursement for an approved loan
get_balance
Get current wallet balance in Fig Finance
get_customer
Get details for a specific customer
get_loan_offers
Get available loan offers for a customer
get_loan_status
Get the current status of a loan
get_me
Get details for the authorized application account
get_repayments
Get the repayment schedule and status for a loan
list_customers
List all customers in your Fig Finance account
list_loans
List all loans in the account
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.
"List all customers in my Fig Finance account."
"Show me the available loan offers for customer cust_101."
"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.
MCPServerHTTP not found
pip install --upgrade pydantic-aiFig Finance + Pydantic AI FAQ
Common questions about integrating Fig Finance MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Fig Finance with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
