CircleCI MCP Server for Google ADK 8 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add CircleCI as an MCP tool provider through the 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="circleci_agent",
instruction=(
"You help users interact with CircleCI "
"using 8 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 CircleCI MCP Server
Connect your CircleCI account to any AI agent and take full control of your CI/CD pipelines and software delivery through natural conversation. Streamline how you monitor and trigger automated builds.
Google ADK natively supports CircleCI as an MCP tool provider — declare the 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 recent CI/CD pipelines across your organizations natively
- Trigger Management — Manually trigger new pipeline runs for specific projects and branches flawlessly
- Workflow Intelligence — Access detailed information for workflows and their constituent jobs securely
- Job Auditing — Retrieve detailed metadata and execution status for specific jobs flawlessly
- Context Logistics — List shared environment contexts used for securing sensitive project data flawlessly
- Developer Insights — Retrieve your own user profile and organization membership information directly within your workspace
The CircleCI 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 CircleCI to Google ADK via MCP
Follow these steps to integrate the CircleCI 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 CircleCI via MCP
Why Use Google ADK with the CircleCI MCP Server
Google ADK provides unique advantages when paired with CircleCI 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 CircleCI
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 CircleCI tools with BigQuery, Vertex AI, and Cloud Functions
CircleCI + Google ADK Use Cases
Practical scenarios where Google ADK combined with the CircleCI MCP Server delivers measurable value.
Enterprise data agents: ADK agents query CircleCI and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine CircleCI tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query CircleCI regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including CircleCI
CircleCI MCP Tools for Google ADK (8)
These 8 tools become available when you connect CircleCI to Google ADK via MCP:
get_job_details
Get detailed information for a specific job
get_my_cci_profile
Retrieve information about the authenticated user
get_workflow_details
Get detailed information for a specific workflow
list_cci_contexts
List shared contexts for an organization
list_cci_pipelines
List recent CI/CD pipelines
list_pipeline_workflows
List all workflows within a specific pipeline
list_workflow_jobs
List all jobs within a specific workflow
trigger_cci_pipeline
Trigger a new pipeline for a project
Example Prompts for CircleCI in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with CircleCI immediately.
"List my last 5 pipelines in CircleCI."
"Trigger a new pipeline for project 'gh/acme/api' on the 'main' branch."
"Show me the status of all jobs in workflow ID 'wf-12345'."
Troubleshooting CircleCI MCP Server with Google ADK
Common issues when connecting CircleCI to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkCircleCI + Google ADK FAQ
Common questions about integrating CircleCI 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 CircleCI 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 CircleCI to Google ADK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
