Harness MCP Server for Google ADK 11 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Harness 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="harness_agent",
instruction=(
"You help users interact with Harness "
"using 11 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 Harness MCP Server
Connect your Harness.io platform to any AI agent and take full control of your software delivery and CI/CD pipelines through natural conversation.
Google ADK natively supports Harness as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 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
- Pipeline Management — List, inspect, and trigger pipeline executions across your projects.
- Execution Monitoring — Get real-time status updates and step details for active deployments.
- Project Oversight — Browse your organizational structure and list projects within specific organizations.
- Secrets & Infrastructure — Access lists of secrets, connectors, and environments to ensure your infrastructure is correctly configured.
- Audit & Compliance — Retrieve platform audit logs to monitor changes and ensure security standards.
- Service Insights — List microservices and environments defined in your DevOps ecosystem.
The Harness MCP Server exposes 11 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 Harness to Google ADK via MCP
Follow these steps to integrate the Harness 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 11 tools from Harness via MCP
Why Use Google ADK with the Harness MCP Server
Google ADK provides unique advantages when paired with Harness 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 Harness
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 Harness tools with BigQuery, Vertex AI, and Cloud Functions
Harness + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Harness MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Harness and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Harness tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Harness regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Harness
Harness MCP Tools for Google ADK (11)
These 11 tools become available when you connect Harness to Google ADK via MCP:
execute_pipeline
Trigger the execution of a pipeline
get_audit_logs
Retrieve platform audit logs
get_execution_status
Get status and step details for a specific pipeline execution
get_pipeline
Get details and YAML for a specific pipeline
list_connectors
List infrastructure connectors (Git, Docker, K8s, etc.)
list_environments
List environments defined in a project
list_executions
List executions for a specific pipeline
list_pipelines
List pipelines within a specific project
list_projects
List all projects in the configured Harness organization
list_secrets
List secrets configured in a project
list_services
List services (microservices) defined in a project
Example Prompts for Harness in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Harness immediately.
"List all pipelines in project 'E-commerce App'."
"Execute the 'Production Deploy' pipeline for project ID app_502."
"Show the status of the latest execution for pipeline deploy_v1."
Troubleshooting Harness MCP Server with Google ADK
Common issues when connecting Harness to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkHarness + Google ADK FAQ
Common questions about integrating Harness 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 Harness 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 Harness to Google ADK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
