Fig Finance MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Fig Finance as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Fig Finance. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Fig Finance?"
)
print(response)
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.
LlamaIndex agents combine Fig Finance tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Fig Finance MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the Fig Finance MCP Server
LlamaIndex provides unique advantages when paired with Fig Finance through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Fig Finance tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Fig Finance tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Fig Finance, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Fig Finance tools were called, what data was returned, and how it influenced the final answer
Fig Finance + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Fig Finance MCP Server delivers measurable value.
Hybrid search: combine Fig Finance real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Fig Finance to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Fig Finance for fresh data
Analytical workflows: chain Fig Finance queries with LlamaIndex's data connectors to build multi-source analytical reports
Fig Finance MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Fig Finance to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Fig Finance to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFig Finance + LlamaIndex FAQ
Common questions about integrating Fig Finance MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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.
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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 LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.