How to Use the FinLegal MCP in LlamaIndex

Q: Can I search past FinLegal records with LlamaIndex?

Absolutely. By indexing the output of listclaims, you create a semantic layer over your historical funding data for instant retrieval.

Q: How do I filter tools in LlamaIndex for FinLegal?

Use the allowedtools filter during agent setup. This ensures the model only accesses the endpoints you want to expose for RAG operations.

Index litigation finance data with FinLegal and LlamaIndex to build knowledge-augmented RAG applications for your firm.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect FinLegal MCP to LlamaIndex

Create your Vinkius account to connect FinLegal 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.

GDPR Free for Subscribers

Setup FinLegal with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Index FinLegal data for semantic search

Use `list_claims` and `get_case` to pull raw information into your vector store. LlamaIndex then converts these results into a searchable knowledge base. You stop relying on static reports. Instead, your RAG application provides answers grounded in the actual, live API state of your litigation portfolio.

Automate contact lookups via MCP Server

Deploy `get_contact` and `get_contact_by_email` to retrieve specific entity profiles. The agent stores these as context, allowing for grounded retrieval during complex queries. This creates a unified view of your contacts. You search across your entire CRM history using natural language, and the system pulls the exact record needed.

Update case activities through RAG

Trigger `create_activity` or `update_contact` directly from your application's logic. Once the agent makes a decision, it pushes the change back to the source. You bridge the gap between analysis and action. The system doesn't just read your funding data; it modifies the state when you provide the instruction.

Setup guide

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

Get your connection token →

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

Connect FinLegal now

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 FinLegal MCP in LlamaIndex

You use the McpToolSpec to wrap the server tools. This allows the LlamaIndex FunctionAgent to call operations like `get_claim` as part of its retrieval process.

Absolutely. By indexing the output of `list_claims`, you create a semantic layer over your historical funding data for instant retrieval.

Your indexed data stays within your local vector store. The server only fetches the specific records you authorize during the query phase.

Use the allowed_tools filter during agent setup. This ensures the model only accesses the endpoints you want to expose for RAG operations.

The server treats all PII and sensitive litigation funding records as protected objects. It ensures that only authenticated queries can access contact emails and claim values.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript