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How to Use the Accela MCP in Vercel AI SDK

Stream Accela permit data directly into your Vercel AI SDK interface for real-time civic workflow updates.

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Vercel AI SDK

Connect Accela MCP to Vercel AI SDK

Create your Vinkius account to connect Accela 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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Live record lookups with Vercel AI SDK

Feed live permit status updates straight to your frontend users. When an applicant asks for status, your agent calls `get_record` and displays the JSON response instantly. This keeps your UI in sync with the municipal backend. No more stale data or manual refreshing for your users.

Automated inspection scheduling

Trigger `schedule_inspection` based on user input from your chat window. Your Vercel AI SDK app handles the booking logic without bouncing the user to a separate portal. Everything happens in the stream. The user confirms the date and the system updates the record status immediately.

Direct document management

Push blueprints and photos from your web form directly into the system using `upload_document`. The tool handles the file transfer while your agent tracks the progress. Your users upload files once. The system registers them against the correct permit record automatically.

Setup guide

Set up Accela 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

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

  4. 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 Accela transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Accela. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Accela MCP in Vercel AI SDK

You connect the server via HTTP and pass the tool definitions into `streamText`. The agent then uses `search_records` to find permits based on your user's natural language queries.
Yes. By mapping `update_record` to an agent function, your application can change permit details or status fields directly from the chat interface.
The server requires an endpoint token to function. All data transmission between your agent and the municipality remains encrypted at the transport layer.
The MCP protocol returns a clear error message to your agent. You can catch these exceptions in your code to prompt the user for corrected information.
The server acts as a gatekeeper for records like building permit applications. It only exposes tools you explicitly define, keeping private contact details out of the public stream.

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