Codefresh MCP Server for AutoGen 8 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Codefresh as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="codefresh_agent",
tools=tools,
system_message=(
"You help users with Codefresh. "
"8 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Codefresh tools. Connect 8 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Codefresh MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 8 tools from Codefresh automatically
Why Use AutoGen with the Codefresh MCP Server
AutoGen provides unique advantages when paired with Codefresh through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Codefresh tools to solve complex tasks
Role-based architecture lets you assign Codefresh tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Codefresh tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Codefresh tool responses in an isolated environment
Codefresh + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Codefresh MCP Server delivers measurable value.
Collaborative analysis: one agent queries Codefresh while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Codefresh, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Codefresh data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Codefresh responses in a sandboxed execution environment
Codefresh MCP Tools for AutoGen (8)
These 8 tools become available when you connect Codefresh to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Codefresh to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Codefresh + AutoGen FAQ
Common questions about integrating Codefresh MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Codefresh 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 Codefresh to AutoGen
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
