Mcp Argo Server
What is Mcp Argo Server
MCP Argo Server is a lightweight server designed to run Argo Workflows, implemented in Golang. It provides a command-line interface (CLI) that utilizes JSON-RPC for communication, allowing users to manage workflows efficiently.
Use cases
Use cases for MCP Argo Server include automating data processing workflows, managing machine learning model training and deployment, and orchestrating microservices in a Kubernetes environment.
How to use
To use MCP Argo Server, open the project in a development container or clone it locally. Run make cluster to set up a k3d cluster with Argo. You can submit workflows using the command argo submit -n argo --watch ./kube/argo-hello-world.yaml and monitor them via the Argo interface at https://localhost:2746/workflows/argo/.
Key features
Key features of MCP Argo Server include lightweight CLI for workflow management, integration with Kubernetes and Argo Workflow resources, and a Python test client for demonstrating workflow submission and monitoring.
Where to use
MCP Argo Server is suitable for cloud-native applications, CI/CD pipelines, and any environment where automated workflows are needed to manage complex tasks in Kubernetes.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Argo Server
MCP Argo Server is a lightweight server designed to run Argo Workflows, implemented in Golang. It provides a command-line interface (CLI) that utilizes JSON-RPC for communication, allowing users to manage workflows efficiently.
Use cases
Use cases for MCP Argo Server include automating data processing workflows, managing machine learning model training and deployment, and orchestrating microservices in a Kubernetes environment.
How to use
To use MCP Argo Server, open the project in a development container or clone it locally. Run make cluster to set up a k3d cluster with Argo. You can submit workflows using the command argo submit -n argo --watch ./kube/argo-hello-world.yaml and monitor them via the Argo interface at https://localhost:2746/workflows/argo/.
Key features
Key features of MCP Argo Server include lightweight CLI for workflow management, integration with Kubernetes and Argo Workflow resources, and a Python test client for demonstrating workflow submission and monitoring.
Where to use
MCP Argo Server is suitable for cloud-native applications, CI/CD pipelines, and any environment where automated workflows are needed to manage complex tasks in Kubernetes.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
MCP Argo Server
An MCP-compliant server for running Argo Workflows written in Golang.
Overview
MCP Argo Server is a lightweight CLI tool that wraps Argo Workflows using JSON-RPC over STDIN/STDOUT. It leverages Foxy Contexts for RPC handling and client-go for interacting with Kubernetes and Argo Workflow resources. The project provides tools for launching workflows, checking workflow status, and retrieving results.
Installation
This project is configured to run inside a development container. Simply open the repository in your dev container-enabled editor (e.g., VS Code Remote - Containers) and all dependencies are pre-installed.
If you prefer to run it locally, clone the repository and run:
go mod tidy
Usage
Open the project in the dev container.
Run make cluster which will install the k3d cluster and set up Argo.
You can check that’s worked by typing kubectl cluster-info.
You can run a test workflow by typing argo submit -n argo --watch ./kube/argo-hello-world.yaml.
You can see the Argo interface at https://localhost:2746/workflows/argo/
You can check that the app is building and the MCP is working by typing make run.
Testing with Python
The project includes a Python test client that demonstrates how to interact with the MCP Argo server. The test client is located in python/test_with_autogen.py and showcases:
- Submitting Argo workflows
- Checking workflow status
- Waiting for workflow completion
- Retrieving workflow results
To run the Python test:
-
Ensure you have Python dependencies installed:
cd python make install -
Run the test script:
python test_with_autogen.py
or… just debug it to step through.
The script will:
- Connect to the MCP Argo server
- Iterate the tools and print them out
- Submit a sample workflow from
kube/argo-hello-world.yaml - Monitor the workflow status until completion
- Display the workflow results
Contributing
Contributions are welcome! Please open issues and submit pull requests. Before submitting changes, ensure that you follow the project’s coding guidelines and that all tests pass.
License
This project is licensed under the MIT License. See the LICENSE file for details.
Additional Resources
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
