How to Use the LEAP Legal MCP in LlamaIndex
Build RAG applications that index live LEAP Legal matters and contacts directly into your LlamaIndex vector stores.
Works with every AI agent you already use
…and any MCP-compatible client
Connect LEAP Legal MCP to LlamaIndex
Create your Vinkius account to connect LEAP Legal 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.
Semantic Search Over Matter Correspondence
The `get_matter_correspondence` tool extracts emails, appointments, and files to feed them directly into your LlamaIndex vector index. This turns your active case history into a searchable knowledge base. Instead of keyword searches, your agent performs semantic queries across all past communication. You get grounded answers based on actual legal facts rather than model hallucinations.
Real-Time Contact Indexing
The `list_cards` tool retrieves your entire firm directory and client list for local indexing. LlamaIndex uses these documents to resolve entity relationships during complex queries. When a client calls, the agent runs `get_card_details` to verify address records and active matters instantly. Keeping this data in your index saves hours of manual searching.
LlamaIndex MCP Server Case Context Synthesis
The `get_matter_details` tool provides the core administrative facts for any active case file. Your LlamaIndex pipeline uses this metadata to filter search results by jurisdiction or matter type. Combining this with `get_matter_linked_cards` lets the agent map out every attorney, witness, and opposing counsel associated with the matter. It builds a complete graph of the case without manual data entry.
Set up LEAP Legal MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - 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 providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto 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 LEAP Legal MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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 LEAP Legal tools.",
)
response = await agent.run("List recent LEAP Legal data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LEAP Legal. 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 LEAP Legal MCP in LlamaIndex
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