Targetprocess MCP Server for Google ADK 6 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Targetprocess as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
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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="targetprocess_agent",
instruction=(
"You help users interact with Targetprocess "
"using 6 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 Targetprocess MCP Server
Empower your conversational matrix with enterprise Agile planning tools by establishing a secure MCP bridge to Apptio Targetprocess. Stop navigating cumbersome management web panels during your deep work sessions. Allow your LLM to function as your personal Scrum Master, parsing detailed product backlogs, pinpointing active bugs, and analyzing sprint iterations entirely from within your prompt. Unify your engineering tasks by having constant programmatic awareness of your organization's roadmap execution.
Google ADK natively supports Targetprocess 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
- Project & Portfolio Mapping — Request high-level structured arrays defining active scopes natively operating
list_projectsand view associated global productlist_features. - Sprint & Iteration Sync — Track time-bound execution containers seamlessly querying
list_iterationsto understand immediate team commitments. - Backlog & Requirements Auditing — Read explicit product developments dispatching analytical traces executing
list_user_storiesto capture detailed requirement specs. - Defect Discovery — Swiftly analyze current technical debts monitoring live system anomalies by interrogating
list_bugswithout leaving your IDE.
The Targetprocess 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 Targetprocess to Google ADK via MCP
Follow these steps to integrate the Targetprocess 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 Targetprocess via MCP
Why Use Google ADK with the Targetprocess MCP Server
Google ADK provides unique advantages when paired with Targetprocess 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 Targetprocess
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 Targetprocess tools with BigQuery, Vertex AI, and Cloud Functions
Targetprocess + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Targetprocess MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Targetprocess and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Targetprocess tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Targetprocess regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Targetprocess
Targetprocess MCP Tools for Google ADK (6)
These 6 tools become available when you connect Targetprocess to Google ADK via MCP:
list_account_users
Lists all registered users in the Targetprocess account
list_bugs
Lists reported bugs/defects
list_features
Lists high-level features (capabilities)
list_iterations
Lists iterations (sprints)
list_projects
Lists all projects in Targetprocess
list_user_stories
Lists user stories in the account
Example Prompts for Targetprocess in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Targetprocess immediately.
"Retrieve the current active Sprint iterations and pull the details of the top 3 unassigned bugs logged under our primary development project."
"Extract the details for user story #4552 in the current sprint."
"List all high priority bugs that are currently 'Open'."
Troubleshooting Targetprocess MCP Server with Google ADK
Common issues when connecting Targetprocess to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkTargetprocess + Google ADK FAQ
Common questions about integrating Targetprocess 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 Targetprocess 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 Targetprocess to Google ADK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
