How to Use the Indemnification Exposure Calculator MCP in LlamaIndex

Q: How do I connect the Indemnification Exposure Calculator MCP to LlamaIndex?

You'll use the McpToolSpec to wrap the client. This exposes the MCP's tools in a native format that LlamaIndex agents can directly use for queries and data ingestion.

Turn contract risk calculations into a searchable knowledge base with LlamaIndex and the Indemnification Exposure Calculator.

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Connect Indemnification Exposure Calculator MCP to LlamaIndex

Create your Vinkius account to connect Indemnification Exposure Calculator to LlamaIndex — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Indemnification Exposure Calculator with LlamaIndex

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Index Your Liability Exposure

Stop running one-off calculations that get lost in emails. Use this MCP to analyze a contract, then have LlamaIndex automatically index the results into your vector store. Your risk data is now a queryable asset, not a forgotten report. The output from `calculate_standard_cap` and `calculate_worst_case_exposure` for each contract becomes part of a structured knowledge base. It's ready for semantic search.

Query Past Risk Assessments with LlamaIndex

Once your risk calculations are indexed, ask plain English questions. Try something like, 'Which of our vendor contracts have a worst-case exposure over $10M?' or 'Show me the carve-out impact for all Q2 agreements.' LlamaIndex finds the relevant indexed tool outputs and gives you an answer grounded in your actual contract data. No more digging through folders. You get immediate, data-backed answers.

Augment Queries with Real-Time Data

Build a RAG pipeline that combines your indexed history with live calculations. When you ask about a new contract, your LlamaIndex agent can call `evaluate_carveout_impact` on the fly. It then compares that live result against historical data from your index. This gives you critical context, showing you how a new deal stacks up against your past agreements.

Setup guide

Set up Indemnification Exposure Calculator MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Indemnification Exposure Calculator MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Indemnification Exposure Calculator tools.",
)
response = await agent.run("List recent Indemnification Exposure Calculator data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Indemnification Exposure Calculator. 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.

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Common questions about Indemnification Exposure Calculator MCP in LlamaIndex

The MCP's tools act as a live data source for your RAG application. LlamaIndex queries the tools for real-time calculations and can index their outputs, making financial risk data queryable.

Yes. After your agent runs the tools, LlamaIndex can index the numerical outputs. You can then perform semantic searches across all your past contract risk assessments to find trends or outliers.

You'll use the `McpToolSpec` to wrap the client. This exposes the MCP's tools in a native format that LlamaIndex agents can directly use for queries and data ingestion.

Your indexed data is a snapshot from when you ran the calculations. For live data, your agent simply calls the MCP Server tools again as part of its query process.

The MCP only processes the inputs you provide for a specific tool call, such as a contract value, jurisdiction, or carve-out clause. It has no access to your vector store or any other indexed documents.

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