How do I start managing my agency via AI?

Subscribe, enter your API credentials (your Personal Access Token from **Settings → API integrations**, and your Organization ID found in your URL), and you're ready. No code, no SDK, no webhooks — just connect and start asking your agent for budget burn rates.

Can my AI agent flag budgets that are running low?

Yes. Ask your agent to query all active budgets and run an analysis on hours tracked versus hours allocated. The agent reads the budget payloads securely and identifies any project that sits beyond 80% profitability burn rate before you even open a spreadsheet.

What happens when I need to verify timesheets for billing?

Just tell your AI agent to fetch recent time entries. It compiles exactly who logged what task across which services, helping you spot unassigned hours or missing descriptions instantly, saving the operations team hours of manual monthly audits.

Is this capable of helping me track sales metrics?

Absolutely. Ask your agent to list active deals and client companies. In a single prompt, you can see your entire sales pipeline, match deals to recent activities, and prepare for management syncs — perfectly suited for agency owners tracking rapid growth.

Productive MCP Server for Google ADK 12 tools — connect in under 2 minutes

Name: Productive
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 12 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Productive 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="productive_agent",
    instruction=(
        "You help users interact with Productive "
        "using 12 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 Productive MCP Server

Connect your Productive account to any AI agent and bring your agency management data directly into your conversation workflow.

Google ADK natively supports Productive as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 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

Projects & Budgets — List all active projects, retrieve detailed project data, and dive deep into financial budgets to monitor burn rates
Time Tracking & Tasks — Audit logged time entries across your team and track task progress on any board instantly
Sales & CRM — List all open deals, review the sales pipeline, and access full company/client databases without switching tabs
Financials — Access all generated invoices and their payment statuses to keep cash flow in check
People & Activity — Track recent activities, team availability, and audit logs to see exactly what's moving in your agency

The Productive MCP Server exposes 12 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 Productive to Google ADK via MCP

Follow these steps to integrate the Productive 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 12 tools from Productive via MCP

Why Use Google ADK with the Productive MCP Server

Google ADK provides unique advantages when paired with Productive 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 Productive

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 Productive tools with BigQuery, Vertex AI, and Cloud Functions

Productive + Google ADK Use Cases

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

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

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

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

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

Productive MCP Tools for Google ADK (12)

These 12 tools become available when you connect Productive to Google ADK via MCP:

get_project

Retrieves details for a single project by ID

list_activities

Lists recent activities and audit logs

list_boards

Lists all task boards

list_budgets

Lists all project budgets

list_companies

Lists all companies (clients and partners) in the CRM

list_deals

Lists all sales deals and their current stages

list_invoices

Lists all generated invoices and their payment status

list_people

Lists all people, including employees and external contacts

list_projects

Ideal for scoping agency workload. Lists all active and archived projects in Productive

list_services

Use this to check billable items. Lists all services defined in the organization

list_tasks

Lists all tasks across the organization

list_time_entries

Lists time entries logged by the team

Example Prompts for Productive in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Productive immediately.

"Analyze our active budgets and find any approaching their limit."

"Show me unpaid invoices from last month."

"What did the development team log time on today?"

Troubleshooting Productive MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Productive + Google ADK FAQ

Common questions about integrating Productive 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.