How do I find my AdaptiveWork API Key?

Log in to AdaptiveWork, go to **Settings** > **Extensions**. You can generate or retrieve your API key from the API section. Make sure your user profile has 'API User' permissions enabled.

CZQL (Clarizen Query Language) is a SQL-like language used to query the AdaptiveWork database. It allows for complex filtering, sorting, and data retrieval across all your entities.

Can I manage multiple project locations?

Yes! Use the `list_projects` tool to view all projects across your entire organizational structure, regardless of their location or department.

AdaptiveWork (Clarizen) MCP Server for Google ADK 6 tools — connect in under 2 minutes

Name: AdaptiveWork (Clarizen)
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 6 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add AdaptiveWork (Clarizen) 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="adaptivework_clarizen_agent",
    instruction=(
        "You help users interact with AdaptiveWork (Clarizen) "
        "using 6 available tools."
    ),
    tools=[mcp_tools],
)

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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 AdaptiveWork (Clarizen) MCP Server

Connect your AdaptiveWork (formerly Clarizen) account to your AI agent to unlock enterprise-grade project and portfolio management. From tracking high-level project health to creating granular tasks and managing resource availability, your agent handles complex workflows through natural conversation.

Google ADK natively supports AdaptiveWork (Clarizen) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 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 Portfolio Management — List and audit active projects, check health statuses, and retrieve executive summaries
Task Orchestration — Create, assign, and update tasks across your project structure to ensure team alignment
Resource Insights — List organization users and check assignments to optimize team capacity
Advanced Querying (CZQL) — Run custom Clarizen Query Language commands to retrieve specific data subsets for reporting
Portfolio Health — Quickly identify project bottlenecks or overdue milestones directly from your chat interface

The AdaptiveWork (Clarizen) MCP Server exposes 6 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 AdaptiveWork (Clarizen) to Google ADK via MCP

Follow these steps to integrate the AdaptiveWork (Clarizen) 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 6 tools from AdaptiveWork (Clarizen) via MCP

Why Use Google ADK with the AdaptiveWork (Clarizen) MCP Server

Google ADK provides unique advantages when paired with AdaptiveWork (Clarizen) 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 AdaptiveWork (Clarizen)

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 AdaptiveWork (Clarizen) tools with BigQuery, Vertex AI, and Cloud Functions

AdaptiveWork (Clarizen) + Google ADK Use Cases

Practical scenarios where Google ADK combined with the AdaptiveWork (Clarizen) MCP Server delivers measurable value.

Enterprise data agents: ADK agents query AdaptiveWork (Clarizen) and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine AdaptiveWork (Clarizen) tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query AdaptiveWork (Clarizen) regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including AdaptiveWork (Clarizen)

AdaptiveWork (Clarizen) MCP Tools for Google ADK (6)

These 6 tools become available when you connect AdaptiveWork (Clarizen) to Google ADK via MCP:

create_task

You must provide a task name and its parent ID. Add a new granular task to a project or parent task structure in AdaptiveWork

get_project_details

Requires the Project ID. Retrieve detailed metadata and progress metrics for a specific AdaptiveWork project

list_projects

Can filter by state or status in the tool response natively. Retrieve a list of active projects managed within the AdaptiveWork organization

list_tasks

Requires the Project ID. Retrieve the active task list associated with a specific project container ID

list_users

Retrieve the list of active organization users in AdaptiveWork to check resource assignments

run_query

Requires valid CZQL syntax. Execute advanced Clarizen Query Language (CZQL) commands for custom data retrieval

Example Prompts for AdaptiveWork (Clarizen) in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with AdaptiveWork (Clarizen) immediately.

"List all active projects with a 'Critical' health status."

"Create a new task named 'Review Budget' in 'Project Alpha'."

"Run a CZQL query to find all tasks assigned to 'John Doe'."

Troubleshooting AdaptiveWork (Clarizen) MCP Server with Google ADK

Common issues when connecting AdaptiveWork (Clarizen) to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

AdaptiveWork (Clarizen) + Google ADK FAQ

Common questions about integrating AdaptiveWork (Clarizen) 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.