Evolio MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 14 tools to Check Evolio Status, Create Case, Create Task, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Evolio 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 Evolio app connector for Vercel AI SDK is a standout in the Document Management category — giving your AI agent 14 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 Evolio, 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 Evolio MCP Server
Connect your Evolio account to any AI agent and manage your law firm operations through natural conversation.
The Vercel AI SDK gives every Evolio tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 14 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
- Case Management — Create, update, list, and inspect cases with status, assigned attorneys, deadlines, and milestones
- Status Filtering — Filter cases by status (active, pending, closed, archived) to focus on what needs attention
- Task Tracking — Create tasks linked to cases, list all tasks with due dates and assignees, and inspect individual task details
- Client Profiles — Browse all clients with contact information and associated case counts, and inspect full client profiles
- Document Access — List all documents uploaded per client or per case for easy reference during consultations
The Evolio MCP Server exposes 14 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 14 Evolio tools available for Vercel AI SDK
When Vercel AI SDK connects to Evolio through Vinkius, your AI agent gets direct access to every tool listed below — spanning case-tracking, law-firm-operations, task-management, 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.
Verify connectivity
Create a case
Create a task
Get case details
Get client details
Get task details
List case files
List cases
List cases by status
List client files
List clients
List all tasks
List tasks by case
Update a case
Connect Evolio to Vercel AI SDK via MCP
Follow these steps to wire Evolio 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 Evolio MCP Server
Vercel AI SDK provides unique advantages when paired with Evolio 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 Evolio integration everywhere
Built-in streaming UI primitives let you display Evolio 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
Evolio + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Evolio MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Evolio in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Evolio tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Evolio capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Evolio through natural language queries
Example Prompts for Evolio in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Evolio immediately.
"Show all active cases and the pending tasks for the one with the nearest deadline."
"List all documents for client Maria Santos and the files attached to her residence permit case."
"Create a new family law case for client Jan Novák and add a task to file the initial petition by next Friday."
Troubleshooting Evolio MCP Server with Vercel AI SDK
Common issues when connecting Evolio to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpEvolio + Vercel AI SDK FAQ
Common questions about integrating Evolio 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.