How to Use the Jibble MCP in Mastra AI

Q: Does Jibble work with Mastra AI conditional branching?

Yes. You can route data based on the output of listactivities. For instance, if an activity is flagged as 'break', you can trigger a different notification flow.

Build complex Jibble automation workflows with Mastra AI and conditional logic.

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Connect Jibble MCP to Mastra AI

Create your Vinkius account to connect Jibble 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 Jibble with Mastra AI

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Automated Jibble workflows in Mastra AI

Design multi-step tasks using `list_time_entries` and `get_time_entry`. You can build logic that triggers alerts when specific thresholds are crossed. It handles the heavy lifting of state management. The agent knows exactly when to query the API based on the steps you define.

Geolocation and site auditing

Verify field work using `list_locations`. Your agents can check if employees clocked in at the correct site automatically. This toolset lets you build validation loops. If the location doesn't match the project, the agent can flag the entry for review.

Personnel and role mapping

Use `list_people` to keep your internal records synced with Jibble. It provides the metadata required for your agent to route tasks to the right person. Your workflow handles the rest. You define the action, and the agent executes it against the correct individual ID.

Setup guide

Set up Jibble 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 Jibble 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: "jibble-mcp-client",
  servers: {
    "jibble-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about Jibble MCP in Mastra AI

You can set up an agent to review time entries. If an entry looks wrong, the agent can hold the approval process until a human intervenes.

Use the built-in retry logic within your workflows. If a request to `list_time_entries` fails, the agent can try again after a set delay.

Yes. You can route data based on the output of `list_activities`. For instance, if an activity is flagged as 'break', you can trigger a different notification flow.

Vinkius handles auth via a single endpoint token. Your Mastra AI agents don't see your raw credentials, keeping your organization details safe.

The server only processes the time logs and personnel records requested by your agent. No data is stored on Vinkius servers after the request completes.

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