Can my AI automatically aggregate all open issues inside our active sprint?

Yes. First, request the active iteration window by calling `list_cycles`. The agent will isolate today's active cycle bounds. Following that, it will invoke `list_work_items` directly constrained by that cycle object, outputting an exhaustive summary of untouched or blocking tickets.

How does the agent handle custom workspace slugs or self-hosted URLs?

The system dynamically accepts a `PLANE_BASE_URL` credential. If you are doing an on-premise installation running inside your homelab or company AWS cloud, you merely inject your private domain (e.g., `https://plane.internal.acme.com`). The workspace slug is seamlessly accepted as a contextual execution parameter during standard query prompts.

Can I request specific details of a long-term module (epic)?

You can instruct the agent to execute `list_modules`. It extracts the cross-functional epics spanning your workspace project. Your AI can read these top-level module architectures to contextually understand what the core functionality of the project repository aims to achieve.

Plane MCP Server for Google ADK 6 tools — connect in under 2 minutes

Name: Plane
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 Plane 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="plane_agent",
    instruction=(
        "You help users interact with Plane "
        "using 6 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 Plane MCP Server

Equip any AI agent with direct access to your Plane workspace. Whether you're using Plane Cloud or self-hosting, your AI assistant can seamlessly retrieve projects, analyze agile cycles, and parse the active issues pipeline without forcing you to click through kanban boards manually.

Google ADK natively supports Plane 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

Projects & Core Entities — Extract isolated project architectures spanning across your Workspace, pulling high-fidelity descriptions and status parameters.
Agile Cycles (Sprints) — Command the agent to list and structure your active development cycles, evaluating timelines and completion statuses.
Work Items (Issues) — Perform deep sweeps over tasks and explicit tickets inside boundary states, analyzing what your engineering team is actually building.
Modules & Taxonomy — Read epics (modules) and static categorization labels dictating your issue pipelines.

The Plane 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 Plane to Google ADK via MCP

Follow these steps to integrate the Plane 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 Plane via MCP

Why Use Google ADK with the Plane MCP Server

Google ADK provides unique advantages when paired with Plane 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 Plane

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 Plane tools with BigQuery, Vertex AI, and Cloud Functions

Plane + Google ADK Use Cases

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

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

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

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

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

Plane MCP Tools for Google ADK (6)

These 6 tools become available when you connect Plane to Google ADK via MCP:

get_project

Get specific details of a Plane project

list_cycles

List cycles inside a Plane project

list_labels

List project labels in Plane

list_modules

List modules inside a Plane project

list_projects

List projects in a Plane workspace

list_work_items

List work items (issues) inside a Plane project

Example Prompts for Plane in Google ADK

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

"List all cross-functional modules targeting project `project-x`."

"Are there any pending work items left in the current active active sprint?"

"Fetch the exact details of the issue designated ID `3841-A` on the board."

Troubleshooting Plane MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Plane + Google ADK FAQ

Common questions about integrating Plane 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.