How to Use the Accela MCP in Mastra AI

Build complex municipal workflows with Mastra AI and Accela integration.

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Connect Accela MCP to Mastra AI

Create your Vinkius account to connect Accela to Mastra AI 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 Accela with Mastra AI

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Claude

Perplexity

Multi-step permit automation

Chain `search_records` and `update_record` to automate the entire permit review cycle. Mastra AI handles the state management and retries if the municipal API experiences temporary latency. Define your logic once. The workflow engine executes the steps and ensures the data reaches the final state without human intervention.

Conditional inspection routing

Use Mastra AI to branch workflows based on inspection results. If `list_inspections` returns a failed status, the agent triggers a re-inspection workflow automatically. This removes the need for manual oversight on routine permit rejections. The agent handles the process flow based on the data it receives.

Contact management at scale

Sync applicant information across systems by using `search_contacts` and `create_contact`. The agent verifies if a contractor already exists before creating a new entry. This prevents duplicate records in your database. Every interaction stays tied to a unique contact ID.

Setup guide

Set up Accela MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Accela tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "accela-mcp-client",
  servers: {
    "accela-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Accela Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Accela tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Accela transactions"
);
console.log(result.text);

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Common questions about Accela MCP in Mastra AI

Add the server to your agent configuration. Mastra AI then maps the available tools like `schedule_inspection` into your agent's execution steps.

The framework automatically handles retries for failed tool calls. If a network blip hits `get_parcels`, the agent tries again before alerting you.

Absolutely. Use the built-in approval middleware to require a human sign-off before the agent executes a destructive action like `update_record`.

The framework logs every call to the console. You can track exactly when `list_documents` was called and what data the server returned.

The system uses scoped authentication tokens for every request. This ensures that your agents only access the specific building records they need to perform their assigned tasks.

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