Jibble MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Jibble through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"jibble": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Jibble Agent",
instructions:
"You help users interact with Jibble " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Jibble?"
);
console.log(result.text);
}
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 Jibble MCP Server
Empower your AI agents with Jibble's time tracking and attendance platform. This MCP server allows you to list time entries, retrieve person details, track activities and projects, and view organization information directly through the Jibble API. Ideal for automating workforce management and productivity analysis.
Mastra's agent abstraction provides a clean separation between LLM logic and Jibble tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
The Jibble MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Jibble to Mastra AI via MCP
Follow these steps to integrate the Jibble MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Jibble via MCP
Why Use Mastra AI with the Jibble MCP Server
Mastra AI provides unique advantages when paired with Jibble through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Jibble without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Jibble tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Jibble + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Jibble MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Jibble, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Jibble as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Jibble on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Jibble tools alongside other MCP servers
Jibble MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Jibble to Mastra AI via MCP:
get_organization
Use to verify account-wide configuration. Retrieves organization details
get_person
Essential for detailed HR analysis of an individual team member. Retrieves details for a specific person
get_time_entry
Returns location data, activity notes, and associated device info. Use for auditing or correcting a specific employee time log. Retrieves details for a specific time entry
list_activities
g., "Meeting", "Development", "Break") that employees can select when clocking in. Useful for identifying high-level task categories. Lists all configured activities
list_clients
Useful for professional services tracking and billable hours auditing. Lists all configured clients
list_groups
g., "Sales Team", "Remote Workers") used to organize the workforce. Useful for group-based performance reporting. Lists all configured groups
list_locations
Useful for auditing site-based workforce distribution. Lists all configured locations
list_people
Includes names, emails, and internal IDs. Use this to identify personnel before querying their time entries. Lists all people in the organization
list_projects
Use this when the user asks for a project-based time breakdown. Lists all configured projects
list_time_entries
Returns employee IDs, entry times, and durations. Use this to monitor workforce activity and total work hours. Lists all time entries
Example Prompts for Jibble in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Jibble immediately.
"List all people in my Jibble organization."
"Show me the recent time entries."
"What are the active projects in Jibble?"
Troubleshooting Jibble MCP Server with Mastra AI
Common issues when connecting Jibble to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpJibble + Mastra AI FAQ
Common questions about integrating Jibble MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Jibble with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Jibble to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.