Pivotal Tracker MCP Server for Google ADK 0 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Pivotal Tracker as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="pivotal_tracker_agent",
instruction=(
"You help users interact with Pivotal Tracker "
"using 0 available tools."
),
tools=[mcp_tools],
)
* 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 Pivotal Tracker MCP Server
Connect your Pivotal Tracker workspace to any AI agent and take full control of your agile development workflows through natural conversation.
Google ADK natively supports Pivotal Tracker as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 0 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
- Story Management — List, retrieve, create, and update stories (features, bugs, chores) across your projects.
- Project Oversight — List all projects and retrieve detailed metadata to maintain visibility over your workspace.
- Epic & Label Tracking — List epics and labels to understand the high-level progress and categorization of your work.
- Team Visibility — List project memberships to see who is working on what.
- Profile Access — Retrieve your own profile information to verify your current account context.
The Pivotal Tracker MCP Server exposes 0 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 Pivotal Tracker to Google ADK via MCP
Follow these steps to integrate the Pivotal Tracker 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 0 tools from Pivotal Tracker via MCP
Why Use Google ADK with the Pivotal Tracker MCP Server
Google ADK provides unique advantages when paired with Pivotal Tracker 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 Pivotal Tracker
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 Pivotal Tracker tools with BigQuery, Vertex AI, and Cloud Functions
Pivotal Tracker + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Pivotal Tracker MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Pivotal Tracker and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Pivotal Tracker tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Pivotal Tracker regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Pivotal Tracker
Example Prompts for Pivotal Tracker in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Pivotal Tracker immediately.
"List all active stories in project 12345."
"Create a new bug story in project 12345 called 'Broken login button'."
"Update story 987654321 to 'started' state."
Troubleshooting Pivotal Tracker MCP Server with Google ADK
Common issues when connecting Pivotal Tracker to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkPivotal Tracker + Google ADK FAQ
Common questions about integrating Pivotal Tracker MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Pivotal Tracker with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Pivotal Tracker to Google ADK
Get your token, paste the configuration, and start using 0 tools in under 2 minutes. No API key management needed.