How do I get my Teamwork Access Token?

Log in to Teamwork, go to your Profile picture > My Profile > Developer, and generate a Personal Access Token.

Can I create tasks with assignees?

Yes! Use the create_task action with a JSON body that includes content, tasklist_id, and responsible-party-ids for assignment.

Can I log time against a project?

Yes! Use the create_time_entry action with a JSON body that includes description, duration (in minutes or seconds), and date.

Can I retrieve project milestones?

Yes! Use the list_milestones action to get all project milestones and their deadlines.

Teamwork Projects MCP Server for Google ADK 17 tools — connect in under 2 minutes

Name: Teamwork Projects
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 17 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Teamwork Projects as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="teamwork_projects_agent",
    instruction=(
        "You help users interact with Teamwork Projects "
        "using 17 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Google ADK natively supports Teamwork Projects as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 17 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Teamwork Projects MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 17 tools from Teamwork Projects via MCP

Why Use Google ADK with the Teamwork Projects MCP Server

Google ADK provides unique advantages when paired with Teamwork Projects through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Teamwork Projects

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Teamwork Projects tools with BigQuery, Vertex AI, and Cloud Functions

Teamwork Projects + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Teamwork Projects MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Teamwork Projects and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Teamwork Projects tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Teamwork Projects regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Teamwork Projects

Teamwork Projects MCP Tools for Google ADK (17)

These 17 tools become available when you connect Teamwork Projects to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting Teamwork Projects to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Teamwork Projects + Google ADK FAQ

Common questions about integrating Teamwork Projects MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.