How do I find my Lexzur API Token?

Log in to your account, navigate to **Settings** > **API**, and copy your unique access token from the credentials section.

Can I retrieve litigation cases via AI?

Yes! The `list_litigation_cases` tool allows your agent to retrieve high-fidelity data for all ongoing court cases in your Lexzur portfolio.

How do I search for a specific contact?

Use the `list_lexzur_contacts` tool and provide search parameters to retrieve high-fidelity metadata for specific individuals or companies.

INSTANT PLUG AND PLAY

Lexzur MCP Server for CrewAIGive CrewAI instant access to 10 tools to Create Matter, Get Matter, List Companies, and more

Name: Lexzur
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Lexzur through Vinkius, pass the Edge URL in the `mcps` parameter and every Lexzur tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

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The Lexzur app connector for CrewAI 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

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Lexzur Specialist",
    goal="Help users interact with Lexzur effectively",
    backstory=(
        "You are an expert at leveraging Lexzur tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Lexzur "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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.

When paired with CrewAI, Lexzur becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Lexzur tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI

When CrewAI 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_matter

Create a new legal matter

get_matter

Get details for a specific matter

list_companies

List companies/clients

list_contacts

List contacts

list_documents

List uploaded documents

list_invoices

List legal invoices

list_litigation

List litigation cases

list_matters

List legal matters

list_tasks

List legal tasks

list_time_logs

List time entries

Connect Lexzur to CrewAI via MCP

Follow these steps to wire Lexzur into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Lexzur

Why Use CrewAI with the Lexzur MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Lexzur through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Lexzur + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Lexzur MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Lexzur for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Lexzur, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Lexzur tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Lexzur against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Lexzur in CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting Lexzur to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Lexzur + CrewAI FAQ

Common questions about integrating Lexzur MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.