How to Use the Nifty MCP in Google ADK

Q: Can Google ADK use Nifty tools to find specific project tasks?

Yes. The agent uses searchalltasks to query your entire Nifty workspace. It finds exactly what you need in seconds.

Connect the Google ADK to Nifty. Let your enterprise agents manage project milestones and task lists on Google Cloud.

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Connect Nifty MCP to Google ADK

Create your Vinkius account to connect Nifty to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Nifty with Google ADK

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Automated project management for Google ADK

Your agent now talks to Nifty natively. It calls `list_organization_portfolios` to understand the broader project structure before taking any action. This integration allows your agent to move beyond simple chat. It creates and updates tasks using `create_new_task` based on the data it finds in your cloud environment.

Scaling project workflows with this MCP Server

Handle large-scale project tracking without hitting memory limits. Your agent uses `list_workflow_tasks` to iterate through project backlogs efficiently. It maintains context across long-running operations. By using `get_task_info`, it pulls granular data for every item your team touches.

Direct milestone tracking for Google ADK agents

Keep your project phases aligned with your cloud infrastructure. The agent triggers `list_project_milestones` to track progress against your core business goals. It ensures your team stays on schedule. Every milestone update is logged through `create_project_milestone`, keeping your project timeline accurate.

Setup guide

Set up Nifty MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Nifty tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Nifty_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Nifty tools via MCP.",
    tools=mcp_tools,
)

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Why Choose Vinkius

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Common questions about Nifty MCP in Google ADK

Install the MCP toolset and point it at the server URL. Your agent will auto-discover the tools and start listing tasks immediately.

Yes. The agent uses `search_all_tasks` to query your entire Nifty workspace. It finds exactly what you need in seconds.

It does. The Vinkius-hosted server provides an ephemeral, isolated environment for your agent. It keeps your Nifty credentials and API traffic separated.

You can filter the tools you expose. If you only want your agent to read data, just pass a subset of the available tool names.

No. The server acts as a pass-through pipe. It doesn't cache your task descriptions or project notes; it just relays the data to your agent.

Use it with your favorite AI tools

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