Fig Finance MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Fig Finance through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"fig-finance": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Fig Finance, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Fig Finance through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Fig Finance MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 12 tools from Fig Finance via MCP
Why Use LangChain with the Fig Finance MCP Server
LangChain provides unique advantages when paired with Fig Finance through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Fig Finance MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Fig Finance queries for multi-turn workflows
Fig Finance + LangChain Use Cases
Practical scenarios where LangChain combined with the Fig Finance MCP Server delivers measurable value.
RAG with live data: combine Fig Finance tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Fig Finance, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Fig Finance tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Fig Finance tool call, measure latency, and optimize your agent's performance
Fig Finance MCP Tools for LangChain (12)
These 12 tools become available when you connect Fig Finance to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Fig Finance to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersFig Finance + LangChain FAQ
Common questions about integrating Fig Finance MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.