Everhour Time Tracking 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 Everhour Time Tracking through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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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: {
"everhour-time-tracking": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Everhour Time Tracking Agent",
instructions:
"You help users interact with Everhour Time Tracking " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Everhour Time Tracking?"
);
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 Everhour Time Tracking MCP Server
Integrate Everhour, the powerful time tracking and project management software, directly into your AI workflow. Manage your projects and tasks, track real-time time entries and team productivity, monitor project budgets and billing status, and oversee your entire team's workload using natural language.
Mastra's agent abstraction provides a clean separation between LLM logic and Everhour Time Tracking tool infrastructure. Connect 10 tools through the 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.
What you can do
- Project Oversight — List and retrieve detailed information, budgets, and status for all your tracked projects.
- Time Intelligence — Monitor team time records, resolving task IDs, durations, and active user timers in real-time.
- Budget Management — Access and monitor project budgets, identifying utilization rates and identifying projects at risk of exceeding limits.
- Productivity Auditing — Retrieve high-level summaries of recent time entries, task completion, and organizational account health instantly.
The Everhour Time Tracking 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 Everhour Time Tracking to Mastra AI via MCP
Follow these steps to integrate the Everhour Time Tracking 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 Everhour Time Tracking via MCP
Why Use Mastra AI with the Everhour Time Tracking MCP Server
Mastra AI provides unique advantages when paired with Everhour Time Tracking through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Everhour Time Tracking 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 Everhour Time Tracking 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
Everhour Time Tracking + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Everhour Time Tracking MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Everhour Time Tracking, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Everhour Time Tracking as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Everhour Time Tracking on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Everhour Time Tracking tools alongside other MCP servers
Everhour Time Tracking MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Everhour Time Tracking to Mastra AI via MCP:
get_currently_running_timer
Retrieve the task and start time for any currently active timer
get_everhour_user_metadata
Retrieve metadata and profile information for the current Everhour user
get_project_detailed_data
Get detailed settings and budget information for a specific project
list_billing_clients
List all clients configured for project billing and invoicing
list_organization_team_members
List all team members and their roles in the organization
list_project_tasks
List all tasks within a specific project
list_projects_within_budget
Identify projects that are currently within their assigned time or monetary budget
list_team_time_records
List time records for the team within a specific date range
list_tracked_projects
List all projects managed in your Everhour account
quick_time_tracking_audit
Retrieve a high-level summary of recent time entries and active projects
Example Prompts for Everhour Time Tracking in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Everhour Time Tracking immediately.
"List all projects currently over budget."
"Show me the tasks for project 'Mobile App'."
"What is the team productivity summary for this week?"
Troubleshooting Everhour Time Tracking MCP Server with Mastra AI
Common issues when connecting Everhour Time Tracking to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpEverhour Time Tracking + Mastra AI FAQ
Common questions about integrating Everhour Time Tracking 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 Everhour Time Tracking with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Google's framework for building production AI agents.
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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 Everhour Time Tracking to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.