How to Use the Actionstep MCP in Vercel AI SDK

Q: Can I list Actionstep contacts inside a Vercel AI SDK app?

Yes, you simply call the listcontacts tool. The server returns the JSON array, and your frontend maps it to your list view.

Q: Is it possible to track legal tasks in Vercel AI SDK?

You can pull the full task list by invoking the listlegaltasks tool. Your UI then handles the sorting and display logic for your legal team.

Pull your Actionstep data directly into Vercel AI SDK frontends for real-time matter updates and billing visibility.

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Connect Actionstep MCP to Vercel AI SDK

Create your Vinkius account to connect Actionstep to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Actionstep with Vercel AI SDK

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Stream Actionstep matter details into Vercel AI SDK

Feed live case data straight into your UI components without waiting for background jobs to finish. Your app calls `get_matter_details` and displays the response while the user watches the data populate. This keeps your interface snappy. Users see their case files, notes, and task lists update instantly as the AI client processes the information.

Manage legal billing with Actionstep in Vercel AI SDK

Calculate and report on billable hours by piping `list_time_entries` through your streaming pipeline. Your frontend displays these numbers as they arrive. Stop forcing users to refresh their dashboards. The data flows through your Edge Functions, hitting the screen the moment the MCP server sends the packet.

Automate contact records via Vercel AI SDK

Add new clients to your database by triggering `create_contact` from a simple form input. The tool handles the registration while your app maintains state. Your UI confirms the action immediately. You no longer need to build custom backends just to push a name and address into your legal software.

Setup guide

Set up Actionstep MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Actionstep tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Actionstep transactions",
});

console.log(text);
await mcpClient.close();

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Common questions about Actionstep MCP in Vercel AI SDK

You instantiate the client and pass the tool definitions to your generateText call. Once the tool executes, your stream renders the output directly in the React or Next.js component.

Yes, you simply call the list_contacts tool. The server returns the JSON array, and your frontend maps it to your list view.

It does. The transport layer handles the HTTP connection, allowing your edge-deployed code to fetch matter notes or task lists on demand.

You can pull the full task list by invoking the list_legal_tasks tool. Your UI then handles the sorting and display logic for your legal team.

All traffic between your app and our infrastructure stays behind TLS encryption. We isolate every session in a V8 sandbox, ensuring your legal records never leak into another user's execution context.

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