How to Use the Evisort Contract Intelligence MCP in LlamaIndex

Q: How does LlamaIndex use Evisort Contract Intelligence for document auditing?

You run quickcontractportfolioaudit and index the summary output. This allows your agent to perform semantic searches across your entire portfolio's status.

Q: Can Evisort Contract Intelligence and LlamaIndex detect high-value contracts?

You use listhighmonetaryvaluecontracts to fetch specific records. LlamaIndex then indexes these high-value documents so you can query their specific terms.

Q: Does Evisort Contract Intelligence help LlamaIndex manage workflows?

You fetch active workflows with listcontractworkflows. Your application indexes these status updates to provide a real-time summary of your legal operations.

Index your legal data into searchable knowledge bases using Evisort Contract Intelligence for LlamaIndex.

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Connect Evisort Contract Intelligence MCP to LlamaIndex

Create your Vinkius account to connect Evisort Contract Intelligence to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Evisort Contract Intelligence with LlamaIndex

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Semantic indexing of contract provisions

Use `list_contract_provisions` to pull clauses into your LlamaIndex vector store. This turns your static legal text into a searchable knowledge base that your RAG application can query. Your agent now answers questions grounded in specific contract language. Instead of scanning files, it searches your indexed provisions to find liability terms in seconds.

Query document metadata with LlamaIndex

Retrieve deep document insights using `get_document_detailed_intelligence` and add them to your index. This links specific document data to your broader legal knowledge graph. You gain a unified view of your archives. By indexing `list_contract_documents` results, your application understands the relationship between different folders and their contents.

Track contract expirations through your index

Populate your knowledge base with results from `list_upcoming_contract_expirations`. Your LlamaIndex application can now query for contracts nearing their end date at any time. This keeps your data fresh. By refreshing the index with `list_previously_expired_contracts`, you maintain a reliable record of legacy agreements without manual cross-referencing.

Setup guide

Set up Evisort Contract Intelligence 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 Evisort Contract Intelligence 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 Evisort Contract Intelligence tools.",
)
response = await agent.run("List recent Evisort Contract Intelligence data")

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Common questions about Evisort Contract Intelligence MCP in LlamaIndex

You run `quick_contract_portfolio_audit` and index the summary output. This allows your agent to perform semantic searches across your entire portfolio's status.

You use `list_high_monetary_value_contracts` to fetch specific records. LlamaIndex then indexes these high-value documents so you can query their specific terms.

You fetch active workflows with `list_contract_workflows`. Your application indexes these status updates to provide a real-time summary of your legal operations.

The MCP Server operates in a sandboxed environment. Your contract text is accessed via secure API calls and is never stored on external servers.

It handles all contract PDFs and text files currently indexed in your Evisort account. The server retrieves these via the standard API endpoints.

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