Can I trigger a pipeline run for a specific branch?

Yes! Use the `trigger_codefresh_build` tool. You can provide the pipeline ID and specify the branch name in the payload. The agent will instruct Codefresh to start the build immediately.

How do I see the status of all my Kubernetes clusters in Codefresh?

Use the `list_delivery_clusters` tool. Your agent will fetch all connected clusters, showing you which targets are available for deployment and their current health status.

Where do I find my Codefresh API Key?

Log in to Codefresh, click on your profile icon, go to **User Settings**, and select **API Keys**. You can generate and copy a new token from that section.

Codefresh MCP Server for Google ADK 8 tools — connect in under 2 minutes

Name: Codefresh
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 8 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Codefresh 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="codefresh_agent",
    instruction=(
        "You help users interact with Codefresh "
        "using 8 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 Codefresh MCP Server

Connect your Codefresh account to any AI agent and take full control of your CI/CD and cloud-native delivery through natural conversation. Streamline how you automate and monitor software deployments natively.

Google ADK natively supports Codefresh as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 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 Oversight — List and retrieve details for all CI/CD pipelines including their configurations natively
Build Management — Trigger new builds for specific pipelines and specify branches or variables flawlessly
Workflow Intelligence — Access detailed status and execution info for recent builds (workflows) flawlessly
Cluster Logistics — Monitor all connected Kubernetes and delivery clusters to verify deployment targets securely
Environment Auditing — List shared contexts, including secrets and variables, used in your workflows securely
integrated Visibility — Retrieve detailed build metadata and user profile information directly within your workspace

The Codefresh MCP Server exposes 8 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 Codefresh to Google ADK via MCP

Follow these steps to integrate the Codefresh 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 8 tools from Codefresh via MCP

Why Use Google ADK with the Codefresh MCP Server

Google ADK provides unique advantages when paired with Codefresh 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 Codefresh

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 Codefresh tools with BigQuery, Vertex AI, and Cloud Functions

Codefresh + Google ADK Use Cases

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

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

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

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

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

Codefresh MCP Tools for Google ADK (8)

These 8 tools become available when you connect Codefresh to Google ADK via MCP:

get_build_execution_details

Get detailed status and execution info for a specific build

get_my_codefresh_profile

Retrieve information about the authenticated user and account

get_pipeline_configuration

Get detailed information for a specific pipeline

list_codefresh_builds

List all recent builds (workflows) in the account

list_codefresh_pipelines

List all CI/CD pipelines in the account

list_delivery_clusters

List all connected Kubernetes/Delivery clusters

list_shared_contexts

List all shared environment contexts (secrets, variables)

trigger_codefresh_build

Trigger a new build for a specific pipeline

Example Prompts for Codefresh in Google ADK

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

"List all my Codefresh pipelines."

"Trigger the 'api-service-ci' pipeline on the 'develop' branch."

"Show me the status of my recent builds."

Troubleshooting Codefresh MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Codefresh + Google ADK FAQ

Common questions about integrating Codefresh 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.