Lexzur MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Create Matter, Get Matter, List Companies, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Lexzur as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The Lexzur app connector for LlamaIndex is a standout in the Erp Operations category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Lexzur. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Lexzur?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Lexzur MCP Server
Connect your Lexzur (formerly App4Legal) account to any AI agent and take full control of your legal practice management and automated case workflows through natural conversation.
LlamaIndex agents combine Lexzur tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Matter & Litigation Orchestration — List and manage your entire portfolio of high-fidelity Corporate Matters and Litigation Cases programmatically, retrieving detailed status and metadata
- Contact Intelligence — Access your complete directory of high-fidelity contacts and companies to coordinate your organizational relationship ecosystem in real-time
- Case Lifecycle Monitoring — Access real-time updates for legal cases and retrieve high-fidelity history for specific matters directly through your agent
- Legal Discovery Management — Query specific matters or contacts using custom search filters to maintain a perfectly coordinated audit trail of your legal practice
- Operational Monitoring — Verify account-level API connectivity and monitor practice volume directly through your agent for instant performance reporting
The Lexzur MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 Lexzur tools available for LlamaIndex
When LlamaIndex connects to Lexzur through Vinkius, your AI agent gets direct access to every tool listed below — spanning legal-practice-management, matter-management, litigation-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new legal matter
Get details for a specific matter
List companies/clients
List contacts
List uploaded documents
List legal invoices
List litigation cases
List legal matters
List legal tasks
List time entries
Connect Lexzur to LlamaIndex via MCP
Follow these steps to wire Lexzur into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Lexzur MCP Server
LlamaIndex provides unique advantages when paired with Lexzur through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Lexzur tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Lexzur tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Lexzur, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Lexzur tools were called, what data was returned, and how it influenced the final answer
Lexzur + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Lexzur MCP Server delivers measurable value.
Hybrid search: combine Lexzur real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Lexzur to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Lexzur for fresh data
Analytical workflows: chain Lexzur queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Lexzur in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Lexzur immediately.
"List all active corporate matters in my Lexzur account."
"Show the status of litigation case 'Case_123'."
"Retrieve the contact details for company 'Acme Legal'."
Troubleshooting Lexzur MCP Server with LlamaIndex
Common issues when connecting Lexzur to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpLexzur + LlamaIndex FAQ
Common questions about integrating Lexzur MCP Server with LlamaIndex.