Teamwork Projects MCP Server for Mastra AI 17 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Teamwork Projects 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: {
"teamwork-projects": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Teamwork Projects Agent",
instructions:
"You help users interact with Teamwork Projects " +
"using 17 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Teamwork Projects?"
);
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 Teamwork Projects MCP Server
Connect Teamwork to any AI agent and manage your project delivery platform — create and track tasks, manage milestones, log time, post messages, and monitor project progress through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Teamwork Projects tool infrastructure. Connect 17 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 Management — List and create projects for organizing work
- Task Management — Create, update, and delete tasks with assignees and due dates
- Milestones — Track project milestones and deadlines
- Time Tracking — Log and review time entries against projects
- Messages — Post announcements and discussions in projects
- Files — List and access project files and attachments
The Teamwork Projects MCP Server exposes 17 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 Teamwork Projects to Mastra AI via MCP
Follow these steps to integrate the Teamwork Projects 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 17 tools from Teamwork Projects via MCP
Why Use Mastra AI with the Teamwork Projects MCP Server
Mastra AI provides unique advantages when paired with Teamwork Projects through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Teamwork Projects 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 Teamwork Projects 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
Teamwork Projects + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Teamwork Projects MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Teamwork Projects, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Teamwork Projects as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Teamwork Projects on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Teamwork Projects tools alongside other MCP servers
Teamwork Projects MCP Tools for Mastra AI (17)
These 17 tools become available when you connect Teamwork Projects to Mastra AI via MCP:
create_message
Body should include title and body content. Post a new message in a project
create_milestone
Body should include title and deadline date. Create a new milestone in a project
create_project
Body should include name and optional settings. Create a new project
create_task
Body should include content, tasklist_id, assignee_ids, and due dates. Create a new task
create_time_entry
Body should include description, duration, and date. Log a new time entry
delete_task
Delete a task
get_current_user
Use this to verify connection and identify your user ID. Get the authenticated user profile
get_project
Get details of a specific project
get_task
Get details of a specific task
list_files
List all files in a project
list_messages
List all messages in a project
list_milestones
List all milestones in a project
list_projects
Use project IDs to query tasks, milestones, and other resources within specific projects. List all projects accessible to the user
list_tasklists
Use task list IDs to query specific tasks. List all task lists in a project
list_tasks
List all tasks in a project
list_time_entries
List all time entries in a project
update_task
Update an existing task
Example Prompts for Teamwork Projects in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Teamwork Projects immediately.
"Show me all my projects."
"List all tasks in project 12345."
"Create a milestone 'Phase 1 Complete' with deadline 2025-05-01 in project 12345."
Troubleshooting Teamwork Projects MCP Server with Mastra AI
Common issues when connecting Teamwork Projects to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpTeamwork Projects + Mastra AI FAQ
Common questions about integrating Teamwork Projects 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 Teamwork Projects with your favorite client
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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 Teamwork Projects to Mastra AI
Get your token, paste the configuration, and start using 17 tools in under 2 minutes. No API key management needed.