Lexzur MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Create Matter, Get Matter, List Companies, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Lexzur through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Lexzur app connector for Vercel AI SDK 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 { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Lexzur, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every Lexzur tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK
When Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to wire Lexzur into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Lexzur MCP Server
Vercel AI SDK provides unique advantages when paired with Lexzur through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Lexzur integration everywhere
Built-in streaming UI primitives let you display Lexzur tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Lexzur + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Lexzur MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Lexzur in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Lexzur tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Lexzur capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Lexzur through natural language queries
Example Prompts for Lexzur in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Lexzur to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLexzur + Vercel AI SDK FAQ
Common questions about integrating Lexzur MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.