How to Use the Nifty (All-in-One Project Management) MCP in Google ADK

Q: Can I filter which tools my Google ADK agent uses with Nifty (All-in-One Project Management)?

Yes. You can use the toolnames filter in your McpToolset configuration. This restricts the agent to only the specific tools you want it to access.

Q: How does the agent handle project document retrieval?

The agent calls listprojectdocs to query the available files in a project. It then parses this list to find the specific documentation needed for the task.

Integrate your Google ADK agents with Nifty to manage tasks and project documentation using high-reasoning Gemini models.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Nifty (All-in-One Project Management) MCP to Google ADK

Create your Vinkius account to connect Nifty (All-in-One Project Management) 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.

GDPR Free for Subscribers

Setup Nifty (All-in-One Project Management) with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Manage tasks with Google ADK and MCP Server

Your agent uses `list_tasks` to identify pending work items within a project. It then processes these tasks, providing you with summaries or actionable insights based on the current state. This keeps your team focused on execution. The agent acts as an interface between your project data and your daily development routine, reducing context switching.

Fetch project documentation and metadata

Retrieve essential context using `list_project_docs` and `get_project`. Your agent gathers all relevant information before starting a new task, ensuring it has the full picture. This prevents errors caused by missing requirements. Your agent works with the same information your team sees, keeping everyone on the same page regarding project boundaries.

Track project milestones and progress

Use `list_milestones` to monitor your project's trajectory. Your agent compares actual progress against your planned milestones, providing updates when tasks fall behind. It turns static project data into a dynamic feedback loop. You get better visibility into your delivery schedule without manual tracking.

Setup guide

Set up Nifty (All-in-One Project Management) 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 (All-in-One Project Management) 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 (All-in-One Project Management)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Nifty (All-in-One Project Management) tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Nifty. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Nifty (All-in-One Project Management) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Nifty (All-in-One Project Management) MCP in Google ADK

Use the McpToolset class with StreamableHttpServerParameters. Point it to your server URL and pass the toolset to your LlmAgent instance.

Yes. You can use the tool_names filter in your McpToolset configuration. This restricts the agent to only the specific tools you want it to access.

The server supports both Stdio and HTTP transports. You can choose the one that fits your deployment environment on Google Cloud.

The agent calls `list_project_docs` to query the available files in a project. It then parses this list to find the specific documentation needed for the task.

Data is transmitted over encrypted channels directly to the Nifty API. The MCP Server acts only as a bridge, ensuring your credentials and project details remain isolated.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript