Worksection MCP Server for Mastra AIGive Mastra AI instant access to 12 tools to Complete Task, Create Task, Get Project Details, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Worksection through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The Worksection app connector for Mastra AI is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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: {
"worksection": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Worksection Agent",
instructions:
"You help users interact with Worksection " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Worksection?"
);
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 Worksection MCP Server
Connect your Worksection account to any AI agent to automate your project management and team productivity workflows. Worksection provides a comprehensive set of tools for managing tasks, tracking time, and monitoring real-time project activities through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Worksection tool infrastructure. Connect 12 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.
What you can do
- Project Lifecycle Management — List all projects, create new ones, and manage tasks across your entire organization programmatically.
- Time Tracking & Timers — Monitor active timers for team members and stop time trackers directly from the AI interface.
- Activity Monitoring — Retrieve a detailed event log of recent account activities to stay updated on project changes and completions.
- Stakeholder Collaboration — Access task comments, project members, and attached files to maintain a clear overview of team collaboration.
- Hierarchical Oversight — Navigate project folders and task sub-trees using simple natural language commands.
The Worksection MCP Server exposes 12 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.
All 12 Worksection tools available for Mastra AI
When Mastra AI connects to Worksection through Vinkius, your AI agent gets direct access to every tool listed below — spanning task-management, time-tracking, project-collaboration, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Finish a task
Add new task
Get project info
Get full task info
Check running timers
List company users
List team on project
List tasks in project
List workspace projects
Get event log
Restore a task
Finish time tracking
Connect Worksection to Mastra AI via MCP
Follow these steps to wire Worksection into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Worksection MCP Server
Mastra AI provides unique advantages when paired with Worksection through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Worksection 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 Worksection 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
Worksection + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Worksection MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Worksection, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Worksection as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Worksection on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Worksection tools alongside other MCP servers
Example Prompts for Worksection in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Worksection immediately.
"List all my active project folders in Worksection."
"Show me the last 10 events from my account activity log."
Troubleshooting Worksection MCP Server with Mastra AI
Common issues when connecting Worksection to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpWorksection + Mastra AI FAQ
Common questions about integrating Worksection 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.