How to Use the Fig Finance MCP in AutoGen
Build multi-agent AutoGen teams that debate risk, verify balances, and approve Fig Finance loans autonomously.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Fig Finance MCP to AutoGen
Create your Vinkius account to connect Fig Finance to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Debate Fig Finance credit risk with AutoGen agents
The `get_customer` tool retrieves detailed borrower profiles from Fig Finance so your AutoGen risk agent can analyze creditworthiness. While one AutoGen agent reviews the profile, a secondary compliance agent calls `list_transactions` to flag any irregular financial activity. These AutoGen agents debate the borrower's risk profile in a shared chat thread before making a Fig Finance lending decision. This collaborative process ensures that you don't auto-approve high-risk Fig Finance loans without a thorough evaluation of the customer's financial history.
Approve disbursements using AutoGen MCP Server tools
The `apply_for_loan` tool triggers a loan application once your AutoGen agents reach a consensus on the borrower's risk. After application submission, a dedicated AutoGen treasury agent calls `get_balance` to ensure your Fig Finance wallet has sufficient liquidity. Once liquidity is verified, the AutoGen treasury agent executes `disburse_funds` to complete the payout. This multi-agent verification loop in AutoGen prevents accidental double-spending and ensures all Fig Finance payouts align with your internal treasury limits.
Track Fig Finance repayments using AutoGen agents
The `get_repayments` tool provides real-time schedule tracking that your AutoGen monitoring agents check on a set interval. If a payment is missed, an AutoGen collections agent coordinates with a customer relations agent to plan next steps, so you don't have to monitor it manually. This MCP integration ensures your portfolio stays balanced without requiring human engineers to manually run status checks. The AutoGen monitoring agent tracks the loan's overall health by polling `get_loan_status` and updating the team's shared state.
Set up Fig Finance MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Fig Finance tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="Fig Finance_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Fig Finance data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Fig Finance_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Fig Finance data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Fig Finance. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Fig Finance MCP in AutoGen
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Fig Finance MCP today
We host it, we monitor it, we maintain it. You just paste one token.