How do I obtain my Fig Finance API Key?

You can generate your API Key within your Fig Finance Partner Dashboard under the **Developer** or **API Keys** section.

Does Fig Finance support real-time disbursement?

Yes, Fig Finance focuses on automated and near-instant disbursements once a loan application is approved through its AI algorithms.

Can I check the wallet balance of my account?

Yes! The `get_balance` tool allows you to retrieve the current available balance in your Fig Finance account flawlessly.

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

Name: Fig Finance
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to Fig Finance through Vinkius, pass the Edge URL in the `mcps` parameter and every Fig Finance tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Fig Finance Specialist",
    goal="Help users interact with Fig Finance effectively",
    backstory=(
        "You are an expert at leveraging Fig Finance tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Fig Finance "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

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

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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.

When paired with CrewAI, Fig Finance becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Fig Finance tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 12 tools from Fig Finance

Why Use CrewAI with the Fig Finance MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Fig Finance through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Fig Finance + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Fig Finance for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Fig Finance, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Fig Finance tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Fig Finance against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Fig Finance MCP Tools for CrewAI (12)

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

apply_for_loan

Apply for a loan on behalf of a customer

create_customer

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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Fig Finance + CrewAI FAQ

Common questions about integrating Fig Finance MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.